1 Ruby Lyn Velasquez Gibertas, 37-126-141 M1 TRIP Lab, Civil Engg Bldg Social Network Analysis for Engineers Petr Matous Summer Semester 2013 A Study on “How Can Time Management Influence Mood” Abstract This paper tackles my friendship network to understand how people acquired their personalities from the point of view of their environment and the way they manage their time. Out of the 90 questionnaires, 33 people shared their feedbacks. Using the NetDraw to analyze these connections and the factors that influence our moods, this paper will show that defining a persons’ personality based on mood is a weak assumption because mood varies. It is generally defined by his role in the society and the people who described the subject. Keywords Social network of friendship, moods, irritation, personality - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I. Definition of Terms A network community can be defined as a group of people who are much more connected to one another than they are to the other groups of connected people found in other parts of the network. (Connected, 2009) Social network is an organized set of people which consists of two kinds of elements: human beings and the connections between them. (Connected, 2009) A weak tie is characterized by less frequent communication. (Prell,et al. 2007) A strong tie is characterized by stronger relationship built on trust. Homophily is a shared attributes among social actors. (Prell,et al. 2007) Degree centrality refers to how many others a stakeholder is directly (Prell,et al. 2007). Degree in general is seeing as an index for centrality: it can tell us the actor’s prominence or prestige in the network. (Martino and Spoto, 2006)
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Ruby Lyn Velasquez Gibertas, 37-126-141
M1 TRIP Lab, Civil Engg Bldg
Social Network Analysis for Engineers
Petr Matous
Summer Semester 2013
A Study on “How Can Time Management Influence Mood”
Abstract This paper tackles my friendship network to understand how people acquired their personalities from the point of view of their environment and the way they manage their time. Out of the 90 questionnaires, 33 people shared their feedbacks. Using the NetDraw to analyze these connections and the factors that influence our moods, this paper will show that defining a persons’ personality based on mood is a weak assumption because mood varies. It is generally defined by his role in the society and the people who described the subject. Keywords Social network of friendship, moods, irritation, personality - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - I. Definition of Terms
A network community can be defined as a group of people who are much more connected to one another than they are to the other groups of connected people found in other parts of the network. (Connected, 2009) Social network is an organized set of people which consists of two kinds of elements: human beings and the connections between them. (Connected, 2009) A weak tie is characterized by less frequent communication. (Prell,et al. 2007) A strong tie is characterized by stronger relationship built on trust. Homophily is a shared attributes among social actors. (Prell,et al. 2007) Degree centrality refers to how many others a stakeholder is directly (Prell,et al. 2007). Degree in general is seeing as an index for centrality: it can tell us the actor’s prominence or prestige in the network. (Martino and Spoto, 2006)
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Centralization is where the only few actors holding the majority of ties linking the network together only need for each those well connected few to reach entire network. (Prell,et al. 2007) Betweenness centrality refers to how many times an actor rest on a short path connecting two others who are themselves disconnected. (Prell,et al. 2007) Density is a proportion of possible ties in a network that are actually present , and a networks density is commonly used to measure the extent to which all actors in a network are tied to one another. (Prell,et al. 2007) Clique is a maximal complete sub graph composed by at least three nodes. (Martino and Spoto, 2006) Topology is a fundamental and an intrinsic property of networks. Each node has the same relational position to other nodes or its location has not changed. (Connected, 2009) In-degree means the number of people who name you as a friend. Transitivity is a measure of how many of your friends know each other. (Transcript on Forum on Connected, 2009)
II. Introduction and Motivation I have a personal struggle in understanding why I am acting the way I was not before. I summarize my “transformation state” as a factor of the environment and people I was with. When I came to Japan, I experimented about myself. Now, I am meeting new groups of people from a wider perspective. I have already foreseen many problems I will be encountering while living in this new place, far from home, with language barrier, quest for knowledge and far from friends. I embrace this challenge because I want to know how to help myself cope up with my emotional struggles, while removing other factors from my previous comfort zone. I monitor my extreme emotion using a simple tool to analyze pattern of my mood. During my first month, I am experiencing depressions every 5-7 days. As I learn to understand that this pattern has been recurring, I consciously tried to find ways to improve my mood. Following the second until my nine month now, it only happens once a month. I am not sure if this event is only true to me so I want to be more objective in my hypothesis that the person’s level of mood is a factor of time management or how the person spends his day in quantifiable terms.
III. Hypothesis A person’s mood or his reputation in general, is a factor of how he/she choose to spend his/her time.
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IV. Methodology So in order to facilitate this study, I conducted a survey to 90 of my friends. I chose a strict circle of population up to at least second degree. I formulated a survey questionnaire to capture the following information:
Personalities
Relationships
Unforgettable experiences
Time management The sample Survey Questionnaire could be found in Appendix 1.
V. Review of Related Literature A social network is defined as a set of people connected by a set of relationships wherein relationships are any kind of social relation, while communication network is composed of interconnected individuals linked by patterned flows of information. (Martino and Spoto, 2006). The first use of the word “Social Network” was in the study of anthropology, as a network of relations. A network community can be defined as a group of people who are much more connected to one another than they are to the other groups of connected people found in other parts of the network. The communities are defined by structural connections, not necessarily by any particular shared traits. (Connected, 2009). The simplest social network of all is a pair of people called a dyad. Some other peculiar form of social network includes: the bucket brigade, the telephone tree. (Connected, 2009). In a very basic sense, a social network is an organized set of people that consists of two kinds of elements: human beings and the connections between them. (Connected, 2009). In a social network, every unit, usually called “social actor” (person, group, etc) is represented as a node. A relation is represented as a linkage or a flow between these units. SNA has been used as a tool to explain individual behavior. (Martino and Spoto, 2006) Two different approaches can be used to specify boundaries in social network studies: the first one is realist approach and the second one is nominalist approach. In the nominalist approach, boundaries are defined by research aim, so actors can be separated by attributes of potential members of the network, relational properties between potential members and activities in which actors are involved into. (Martino and Spoto, 2006). Sometimes when boundaries cannot be defined at the very beginning, researches use sampling techniques like snowball sampling. It is like a chain method designed to trace ties from a source to an end. The first actor is called the “ego.” An ego-centered network consists of the network built on the basis of this focal person and every relation is reported by the ego. On the other hand, a complete network is built upon every node from a population, but any relation is considered for every node composing the network. (Martino and Spoto, 2006) Clique is a maximal complete subgraph composed by at least three nodes. (Martino and Spoto, 2006). The diameter gives important information about the closeness of nodes in the graph. The
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longer the diameter is, the more the graph is dispersed. (Martino and Spoto, 2006). Highly clustered networks have the characteristics of a small world network. (Martino and Spoto, 2006) Subsequent formal mathematical ideas coined the use of “graph theory” as a way to represent any structure as configurations of vertices and edges produced by interconnections. Each individual point is described in terms of local patterns of connections and centrality in the networks. The whole network is described in terms of overall density and divisions into cliques. (Prell and Scott, 2009) The combination of social capital and small world explains the theory on how a social phenomenon outside the normal range of social capital discussions can be understood. The small world lacks sociological depth. While social capital provides rich account on how actors, their networks and resources are interacting with each other. Social structures affect individual actions and that the individuals in turn, form and changes those structures when they form and change relationships. (Prell and Scott, 2009) Stakeholders sharing strong ties are more likely to influence one another, yet they are also more likely to share many similarities. (Prell,et al. 2007). Strong ties are good for communicating and working with complex information and tasks. It holds and maintains trust between actors and is more likely to influence one another thoughts, views and behaviors. (Prell,et al. 2007). On the other hand, a weak tie is often characterized by less frequent communication. (Prell,et al. 2007). Weak ties are tend to bridge across diverse actors and groups. It connects otherwise disconnected segments of the network together. They are good for communicating and working with simple tasks. Actors are less likely to trust one another and cab break more easily. (Prell,et al. 2007) Homophily, a situation where similar actors are attracted to one another and thus choose to interact with each other is a well documented occurrence in a social network. Stakeholders who are similar to one another are better able to communicate information as there tends to be higher mutual understanding between such actors. Conversely such homogeneity can be problematic, as successful natural resource management projects require different views and opinions to be recognized and brought into the discussion. (Prell,et al. 2007). Homophily is a shared attributes among social actors which reduces conflict, and provide basis for the transfer of information. And can result into redundant information such as actors having similar backgrounds also have similar sources of knowledge. (Prell,et al. 2007). Friendships formed with race being a factor may refer to a bias called “inbreeding homophily.” Centralization is where the only few actors holding the majority of ties linking the network together only need for each those well connected few to reach entire network. (Prell,et al. 2007). Centrality is divided into two. The first one is the degree centrality which is where an actor with contacts to many others can be targeted for motivating the network and diffusing the information fast through the network. These actors do not necessarily bring together diverse segments of the network. The second one is the Betweeness centrality which is where the actors which link across disconnected segments of the network have the most holistic view of the problem. They can mobilize and diffuse information to the larger network. (Prell,et al. 2007) There are two types of centrality: degree centrality and betweenness centrality. Degree centrality refers to how many others a stakeholder is directly connected: stakeholders with a high degree centrality can be seen as important players or mobilizing the network and bringing other stakeholders together. However, because such
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stakeholders must exert a lot of energy to maintaining a large number of ties, these ties are often weak. (Prell,et al. 2007). A centralization score of 1 indicates the maximum number of ties concentrated around one actor is present, and a score of 0 indicates a fully connected network, where all actors are directly connected to each other. Degree centrality refers to how many others an actor is directly connected to. (Prell,et al. 2007). The higher centralization indicates that certain actors, through their numerous weak ties to others, are emerging as key figures in holding this network together. (Prell,et al. 2007). On the other hand, betweeness centrality refers to how many times an actor rest between two others who are themselves disconnected. Stakeholders holding high betweeness centrality are important for long term resource management planning: as such actors perform a broker role of bringing together disconnected segments of the network, thus bringing diversity and new ideas to the network. (Prell,et al. 2007) Betweenness centrality: Refers to how many times an actor rest on a short path connecting two others who are themselves disconnected. (Prell,et al. 2007) Degree in general is see as an index for centrality: it can tell us the actor’s prominence or prestige in the network. In-degree means the number of people who name you as a friend. Transitivity is a measure of how many of your friends know each other. (Transcript on Forum on Connected, 2009). There are two kinds of in-degrees for each node: the number of direct lines adjacent to a node and the out degree, the number of direct lines adjacent from a node. (Martino and Spoto, 2006) Density is the proportion of possible ties in a network that are actually present , and a networks density is commonly used to measure the extent to which all actors in a network are tied to one another. A density score of 1 indicates that all actors in the network are directly tied to one another and a density score of 0 indicates the network is fully disconnected. (Prell,et al. 2007). The density index indicates the proportion of lines really present in the graph over the total number of possible lines. The higher is the density index in a graph, the more the actors of our social context are connected each other. Density is a good index for a group’s homogeneity and cohesiveness. (Martino and Spoto, 2006) Transitivity means that your friends are also friends with each other. And depending on locations, central are connected to all other networks or his friend having many friends themselves while peripheral is when your friend tend to have few or no friends. (Connected, 2009) Topology is a fundamental and an intrinsic property of networks. Each node has the same relational position to other nodes or its location has not changed. Or, particular pattern of ties that connects the people involved. First, there is a connection and second, there is a contagion which pertains to what flows across the ties. Understanding why social networks exist and how they work requires that we understand certain rules regarding connection and contagion – the structure and function – of social networks. (Connected, 2009) We are living in the sea of relationships. (Transcript on Forum on Connected, 2009). With regard to the hierarchy in our society, people have socioeconomic privilege, which is their positional privilege. (Transcript on Forum on Connected, 2009) There are Rules of Life in the Network, according to the book Connected in 2009
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1. We shape our network: Homophily, the conscious and unconscious tendency to associate
with people who resemble us “the love of being alike,” or “birds of the same feather flocks
together.” We choose the structure of our networks in three important ways. We decide
how many people we are connected to. We influence how densely interconnected our
friends and family are. And lastly, we control how central we are to the social network.
2. Our Network shapes us: A person who has no friends has a very different life than one
who has many.
3. Our friends affect us: One fundamental determinant of flow is the tendency of human
beings to influence and copy one another.
4. Our friends’ friends’ friends affect us: Friends also copy their friends, friends’ friend, and
friends’ friends’ friends. This tendency of effects to spread from person to person to person
beyond an individual’s direct social ties is called hyperdyadic spread.
5. The network has a life on its own: emergent properties are new attributes of a whole that
arise from the interaction and interconnection of the parts. Understanding the social
networks allows us to understand that the whole comes greater than the sum of its parts.
Networks and goodness are deeply interrelated. The ties could be cut if someone did badly to its in-degree which leads to network disintegration. The network provides as a vehicle to spread good things. There are cases wherein we cannot avoid confirming ties with other people in our network but eventually, we tend to set our privacy to the core group of people that we really care about. We are still wired to be influenced by only certain types of people, our real friends. These online social networks are not a substitute for real world relationships. There is some kind of interaction between these online environments and peoples fundamental tendencies to be in a certain part of the network that might help to explain when people are going to treat both as substitutes and as compliments. The underlying demographics presumably are going to be personality, characteristics and biological differences as well. (Transcript on Forum on Connected, 2009) The spread of influence in social networks obeys what we call the Three Degrees of Influence Rule. Everything we do or say tends to ripple through our network, having an impact on our friends (one degree), our friends’ friends (two degrees) and even our friends’ friends’ friends (three degrees). Beyond this degree, the so called intrinsic-decay explanation exists wherein that person beyond may no longer has accurate or reliable information about what you actually did. Ties in networks do not last forever. Friends stop being friends. Neighbors move. Spouses divorce. People die. We do not influence nor are we influenced by people at four degrees and beyond, which are called “network-instability explanation.” Evolutionary biology may also play a part, which is then it is called “evolutionary –purpose explanation.” Everyone is connected to each other by six degrees and we can influence them up to third degrees. We are connected. A social network is where we all stand to benefit from it, but we must also work together to ensure it remains healthy and productive. (Connected, 2009)
If we want to understand how society works, we need to fill in the missing links between individuals. We need to understand how interconnections and interactions between people give rise to wholly new aspects of human experience that are not present in the individual themselves. If we do not
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Returns of the 90 Survey
Forms Distributed
YES
NO
YES
NO
YES
NO
YES
NO
YES
NO
Friends from My Immediate Environment
(20)
Classmates
in Todai (20)
Bestfriends in the
Philippines (10)
Close Friend I Last Contacted Two Years Ago
(30)
Random People / Acquaintance
(10))
International Students (4)
Challenged Friend (1)
15 Did Not Cooperate
Constrained by That Challenged Friend
International Students (4)
Challenged Friend (1)
International Students (4)
Challenged Friend (1)
International Students (4)
Challenged Friend (1)
10 Did Not Cooperate Constrained by That Challenged Friend
International Students (4)
Challenged Friend (1)
Friends Who are
Also Classmate (10)
Unreliable Bestfriend (3)
International Students (4)
Challenged Friend (1)
Reliable Bestfriend (7)
Friend of Reliable Bestfriend (1)
(30)
NONE
(10)
understand social networks, we cannot hope to fully understand either ourselves or the worlds we inhabit. (Connected, 2009) It is a small world which means that every node is connected to every other node by a small number of steps. There is an exogenous force that is acting on the network that is causing the people to change at large. With regard to mood, the first thing the authors of the book connected was on happiness. They found that its network goes out to three degrees of separation. Happiness and unhappiness tend to spread differently. Happiness reinforces trusts and reinforces cooperation in social networks. Happy people are more likely to be in the center. Being in the center makes you more likely on average to catch more of these happy waves relative to the number of unhappy waves that you could catch. Central people become happier. (Transcript on Forum on Connected, 2009). Loneliness correlates highly with people at the edge of network models. (Connected, 2009)
VI. Respondents Out of the 90 questionnaires distributed, only 33 of them had been returned and included in this analysis.
Figure 1. Cooperative and Non-Cooperative Respondents
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The reason of cooperation and non-cooperation of respondents requested to fill up the Survey Form had resulted from the following:
Friends from Immediate Environment - While respondents were filling up the forms, one Challenged Respondent was complaining and criticizing the significance of their participation. As a result, out of the 20 respondents, only four (4), who are the closest people to me, had extended their effort to continue with the survey. The Challenged Respondent, meanwhile, had also returned the form. However, 15 respondents declined the request.
Classmate in Todai – While 20 respondents were filling up the forms, the Challenged Respondent had continued criticisms. As a result, only ten (10), who are my friends, had extended their effort to continue with the survey. The rest did not continue filling it up.
Best friends in the Philippines – Out of the ten (10) considered best friend in the Philippines, only seven (7) had extended their effort to cooperate with the survey. One of them tried to help me by asking her friends to cooperate and one more respondent was added. However, three (3) of them did not even respond and avoided contacts during the period of survey.
Close Friend Last Contacted Two Years Ago – Out of the 30 survey forms requested for the responses, none of them cooperated.
Random People or Acquaintance – Out of the ten (10) forms requested, all ten (10) respondents cooperated.
Using Net Draw 2.089, I drew my connections to my 33 respondents.
Figure 2. How Me and My Respondents are Connected?
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The yellow node in the middle of this network is me. There are 33 nodes connecting to me in the network shown in Figure 2. To make it easier, I tried to modify the color of these nodes. Pink nodes are people who are my Best friends in the Philippines. Cyan nodes are my close friend in Todai, which are either my classmates this semester or not. Violet nodes are some of the classmates and the cross nodes are random people. The following figure shows general description of my sampled respondents.
Figure 3. Demographics of the Respondent
Female (48.5%)
Male (51.5%)
Philippines (24.24%)
Thailand (3.03%)
Japan (36.36%)
Pakistan (9.09%)
Korea (3.03%)
Bangladesh (6.06%)
Indonesia (6.06%)
Vietnam (3.03%)
Malaysia (3.03%)
India (3.03%)
China (3.03%)
21 years old22 years old23 years old24 years old25 years old26 years old27 years old28 years old29 years old30 years old31 years old32 years old33 years old34 years old35 years old36 years old
Friend of the My friend(18.18%)Friends and Classmates(24.24%)Classmates (9.09%)
Friend but notClassmate (15.15%)Acquaintance (12.12%)
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VII. Results and Discussion Sources of Irritation: House
Figure 4. Sources of Irritation in their House
It was found that majority of the respondents main cause of irritation in their houses is their father (30%). It is followed by their mother (10%). Others have their own unique sources of irritation. Sources of Irritation: Office
Figure 5. Sources of Irritation in Office/ Workplace
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Majority of the respondents find their bosses, seniors and random people to be their sources of irritation.
Sources of Irritation: School
Figure 6. Sources of Irritation in School
Majority of the respondents reported that their professors irritate them. Next are their laboratory mates. It was also mentioned that topper in the class and other students are giving other students irritation. To add, even the school facilities irritates some of the students.
Sources of Irritation: Friend
Figure 7. Sources of Irritation: Friend
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There are many friends that irritate their friend. There is also that one friend that constantly irritates some people. Some respondents admitted their hate for their friends who are eyeing on their crushes. Knowing these, I focused on my connections again.
Figure 7. Network of Me, My Best friends in the Philippines and My Close Friends in Todai
Figure 8. Me, without My Best friends and Close Friends
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Sources of Irritation: Other Appointments
Figure 9. Sources of Irritation: Other Appointments
Many people do not like people who come late. In addition, people also hate people who break their promises, other colleagues and unknown people who are part of their appointments.
Sources of Irritation: Travel
Figure 10. Sources of Irritation: Travel
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Many people do not like people who are talkative and inconsiderate during their travel. They also hate riding in a crowded vehicle and with reckless driver. Some people hate traveling for long hours. Others also mention their hate to be with drunk co-passengers, rude air hostess, exposure to thieves and being interrogated by policeman.
Sources of Irritation: Strangers
Figure 11. Sources of Irritation: Strangers
Many people do not like people who are inconsiderate, especially the strangers. People who also speak bad-words are a big No-No! All the rest listed malicious man, drunk, complaining customers, busybody and messy and smokers as people who are irritating. Sources of Irritation: Acquaintance
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Figure 12. Sources of Irritation: Acquaintance
Not so many respondents listed irritating acquaintance, but some people mentioned they hate people who have no definition of boundaries, “feeling close,” some of their workmate, conceited and anyone can be a source of their irritation. I checked my connections with some of the respondents who are my friend’s friend, my acquaintance and the random people I requested to help me.
Figure 13. Sources of Irritation: My Friends-Friend, Acquaintance and Random People
Sources of Irritation: Self
Figure 14. Self
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Sometimes we hate ourselves when we our having depression and we feel gloomy. But almost all of the respondents admitted their weaknesses as the main reasons that make them feel bad.
Sources of Irritation: Other People
Figure 15. Other People
People do not like gossiper. Some people do not like politicians. Arrogant people are annoying. Complaining people are irritating. Clerks in a boutique irritates woman who wish to concentrate on their shopping. Some TV personalities are foolish that people hates to see them.
Sources of Irritation: Others
Figure 16. Other
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Most of the respondents are students in Todai and they all admit that research is the main reason of their stress. They also hate being with negative people. But why do they hate these people? The following table shows some keywords they hate about the behavior of the people in their environment. Table 1. Reasons Why They Hate Them
House Office School Friend Other Appointments
Travel Stranger Acquaintance Self Other People Other
Bossy no care for employees
irrelevant questionings
break promises
late comers drunk passengers
rude feeling close laziness backstabber
wakes me up
when im
asleep
Sensitive bossy told to study
hard busybody
first time
meet up
more than 3
hours travel talks to me
asking for long time
company
oversleeping perfectionist unsatisfactory
results
Proud over
confident
vague
communication
show off
attitude
break
promises
daily long
time travel noisy sarcastic forgetfulness dishonest
required to think again
and again
Noisy attitude problem
singing disturbance
jealous inconsiderate
wakes me up
when im
asleep
mad
asking too
much personal
information
procrastination
doesn’t give
other
opportunities
bad mouth
negative
people
Smoking high
expectation
getting higher
grades than me threatening
waste my
time noisy
asking
personal information
boastful daydreaming overconfident arrogant
behavior
Messy increase work load
extra
homework on
holidays
eye on private life
extending
time than
appointed
crowded frank annoying sensitive abuse of powers
noisy earphone
Demanding biased delegation of
tasks
noisy too much
mocking
lazy co-
members annoying messy complaining
failure to accomplish
targets
feeling close breaks rule
Arguing perfectionists defective PC
snob and
over
confident
dirty talkative family problems
noisy
difficulty to
adopt expected
behavior
Worrisome annoying all about
studies
force to
like/do what I don’t like
reckless and
mean drivers loud
when asked to
eat a lot
nonsense
complains
Lazy banging sounds
no social life
provokes
me to feel
bad
stealing my things
creepily looks
foolishness disturbing my shopping
High Voice inconsiderate with favoritism arguing scolding during travel
offensive comments
unsatisfactory outputs
manipulative
Purely Socialization
noisy poor quality of education
dishonest misbehavior
walking
while
smoking
carelessness blinded by love
Doest practice
what he
preach
loud poor facilities noisy inconsiderate pushes me reluctant to do
anything foolish
Different
Personality
chatting during office
hours
constant
laughing
interrupt my biking to
check ID
complaining easily gets
mad
Complaining paranoid complaining
Noisy
gadgets bitter
Forgetful jealous
Sinful acts tasks
inconsiderate of my
schedule
nuisance
workaholic
do
something then
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complain
no time for
family
always
watching TV
vices
quarrelsome
angry
rebellious
repeated words
I became interested with the amount of time they spend in these environment which may have been provoking them to feel irritated. The following table shows their average daily hourly spending.
Table 2. Average Daily Hourly Spending Sleep (%) Grooming
Most hours is devoted to studying and working. People love to sleep. Grooming is a salient task as a part of one’s day. Time with their favorite interests and with friends are also favorite part of their days. Being alone is also a medium proportion of their time. Not so many people have plenty of time with their families or find meditation as a substantial part of the day.
Table 2. Corresponding Average Daily Mood
Sleep Grooming School/Work Family Friends
Family
with Others
Favorite
Interest Alone Meditation Others
refreshed charming tired relaxed outgoing outgoing fulfilled happy relaxed fun
excellent dainty hot joyful relaxed happy excited thinking very calm hyper
lazy to get
up tidy competitive happy hilarious warm lively gloomy empowering happy
calm happy ambitious fun fun talkative confident depressed happy relaxed
relaxed headache different blessed excited fun happy unconscious rejuvenated tired
happy confident exciting sad warm clueless comfortable relaxed relieved clueless
I wonder how my life will be now that I am far from my family if I don’t have friends. At least I have classmates who I also consider as friends.
Figure 18. Classmates who are Also My Friends
What about my friends who are not my classmates?
Figure 19. Friends but not Classmates
I feel blessed to have found some closest friend in Todai. My closest friends are also friends with each other.
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Figure 20. Close Friends inTodai
What If I am not their friends, will they still be friends? Yes. But only three of them have the same in degree and out degree of friendships.
Figure 21. My Closest Friend in Todai Without Me
Are my Closest Friend in Todai and Best friends in the Philippines, friends? Do I need to introduce them to each other? Who does now know who?
Figure 22. Do I Need to Introduce My Best friends in the Philippines and Closest Friend in Todai with each other?
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I am also curious about the memorable events in the life of the people.
Figure 23. Memorable Events
Table 3. Memorable Events
Keywords Proportions (%)
Natural Disaster 6.4
Family/Friends Death 8.5
Coming to Japan 2.1
Heroic Deeds 2.1
New Baby 4.3
Marriage 4.3
Education Recognitions 6.4
Career Promotions 4.3
World Peace 2.1
Field Trips / Adventures 6.4
Graduation Day 2.1
Traveling 8.5
Festivals 8.5
Experiments 4.3
Spiritual Experience 4.3
Reunions 2.1
Movie Time 2.1
Some Relationships 2.1
Influential Person 4.3
Priorities 2.1
Matters of the Heart 2.1
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Embarrassment 2.1
Innocent Years 2.1
Admission 2.1
Birthday 2.1
Traumatic Incidents 2.1
Majority of the people could hardly forget the experience they had from a joyous festival. Next to the list is the hurt from loosing people who are dear to them.
Table 4. Memorable and Unforgettable Moods
Despair and Helplessness Nervous Unbelievable
Excited but lonely Feeling Beautiful and Famous Impressed
Fearless Hilarious New Experience
Exciting Gleeful Fulfilled and Satisfied
Surprised Depressed Achieving Peace of Mind
Inspired/ Charmed Difficult Time Sense of Completeness
Blissful and Blessed Annoyed due to my indifference Betrayed
Proud for Promotion Relaxing Hurting
Gloomy for the Massive
Killings Enthusiastic Depression
Resentful Interesting Insulted
Empty Humorous Disappointed
Fearful Fun Feeling Sorry
Proud for being Topnotcher Regretful Confused
Proud to Receive an
Appointment Letter Sad Meditative
Intimidated
So, people‘s mood is changing depending on their environment. How is this related to the expected projection of personality cited in Zodiac Signs? Table 5. Expected and Admitted Personalities
Code Expectations Using Zodiac Signs Admitted Personality
A Disciplined, Focused, Reserved Lazy, complaining
B
Sensitive, Emotional, Self-protect,
traditional Competitive, Relaxed, Fun
C Extrovert, Competitive, Optimistic Careless, Ambitious, Fun, Excited, Calm
D Patient,Watchful,Reliable Relax, difficult, exciting, fearless, gloomy
E Patient,Watchful,Reliable relax, happy, inspired
F Quiet, Private, Determined private
G Friendly,Talkative,Creative,Charming humorous, talkative,depressed,empowered
H Extrovert, Competitive, Optimistic
lazy, confident, silly, sad, relaxed, fun,
excited, unconscious, happy
I
Sensitive, Emotional, Self-protect,
traditional happy, difficult, relax
J Independent, Assertive, Competitive warm, calm, fun
K Patient,Watchful,Reliable relax, impatient, busy, fun, lonely
L Friendly,Talkative,Creative,Charming relax, dandy, problematic, fun, gloomy
M Sociable, Open-minded, Refined
private, inspired, lazy, excited,
confident,nice,calm
N Sociable, Open-minded, Refined
calm, motivated, confident, depressed,
blessed
O Efficient, hard-working, focused relax, lazy, joyful, calm, fun
P Disciplined, Focused, Reserved
calm, mysterious, lazy, complaining, excited,
depressed
Q Disciplined, Focused, Reserved
relax, depressed, confident, fun, bored,
ambitious
R Friendly,Talkative,Creative,Charming calm, excited, joyful
S
Proud, Risk-taking, Strong-minded,
dramatic relax, sad, concentrated, messy, optimistic
T Imaginative, Sensitive, Idealistic happy, lazy, tidy, relaxed, fun
U
Sensitive, Emotional, Self-protect,
traditional happy, bright, sad, inspired
V Inventive, Friendly, objective
relaxed, gloomy, excited, depressed, fun,
bored, ambitious
W Sociable, Open-minded, Refined happy, sad, so-so
X Disciplined, Focused, Reserved calm, talkative
Y Extrovert, Competitive, Optimistic relaxed, tired, fun, calm
Now I want to talk about myself by seeing the trend on my own average daily hourly spending for the past 29 years of my life.
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Figure 24. My Own Average Daily Hourly Spending for the Past 29 Years I found that I my sleeping pattern is generally decreasing all throughout my life, except when I work on my first job wherein I am working for night shift. The following morning, I was only sleeping. I also do not pay too much attention to making myself look pretty but I eventually started to be conscious in the latter years. My school work and jobs are one of my best priorities. It is because my parents taught me to work hard for our family. However my time with my family was sacrificed, it gets lesser and lesser until I am not talking with them anymore. I don’t easily go with peers. But in my whole life, I have only up to 7 best friends simultaneously and I choose to be with them whenever I have a chance. I find it irritating being with my family when there are other people. They always talk talk and talk which I hate so much. I could not clearly define my own favorite interest because all I want to do is to sleep and self-talk. I have realized the importance of finding time for meditation. I travel alone a lot going to unknown places and taking photos. I find it liberating and that’s how I want to describe myself, “getting lost and finding my way home.”
Table 6. How They Describe Me Others description of me 6 and
below
Elementary High School College Work 1 Work 2 Work 3 Now
Family Members talkative muse active busy sleepy disappointed sad busy
Classmates/
teachers/officemates best in art
best in
writing laughing stock
poorest
penmanship
purely
theoretical excellent star
hard
working
Friends cute
ready to fist
fight loner inspiring weakest busy choosy choosy
Others snob looks Indian girl ms.congeniality
Looks Indonesian girl kindest transformed
Many look alike Pessimist
Many people comment, criticize and befriend me. They say I am funny. When you had experienced all different kinds of pains and embarrassment in your life, you will appreciate the times when the sky is blue and filled with cumulonimbus clouds, when it is not raining, when the first sound you will hear is the chirping of the birds and the first touch you’ll feel is the touch of your mother waking you up to have breakfast with her.
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I treasure this network. This is the most important tripod I could always hold on when I am getting depressed and I need to remember why I have to do my best.
Figure 25. My Precious Network
This topology is the same as the original network I cited in the early pages of this paper.
Figure 25. Principal Component Lay Out
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Figure 26. Gower Metric Scaling Layout
Table 7. Attributes of My Original Network
Attributes Values
Degree 26
Betweenness 318.7
Closeness 40
Harmonic Closeness 29.5
Eigenvector 0.436
2-Local Eigenvector 144
Indegree 25
Outdegree 25
In2Local 134
Out2Local 130
Betweenness 40
Incloseness 39
Outcloseness 39
InHarmonicCloseness 29
InEigenVector 3.812
OutEigenVector 0.444
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VIII. Conclusion The presence of a Challenged Respondent could greatly constrain the result of the survey. The reliability of the returns depends on the level of friendship between the researcher and the respondents. With regard to our connotation of “best friends,” not all of them can be reliable at all times. I also found that friendship level changes with time. With communication interruption of about two (2) years, friendship level fades if relationship only exists through Online Networks Sites such as Facebook. Random people, whom I personally requested to cooperate with the survey, gave 100% reliability of returns. Someone else description of personality is based from two factors: your role in the society and the people who describes you. Description of personality based on mood is weak. The environment where we are existing could shape our general projection towards our colleague. This environment is defined by the following three questions: (1) Where?; (2) What is your role? and (3) Who are you with? People are naturally fun-loving. Irritation provokes them to sudden mood swings. Effective time management leads to a balanced mood and peaceful mind-set. In this paper, the researcher found that happy people are people who have time to spend with tasks that gives them inspiration, such as sleeping and spending time with family, friends, interests, being alone and meditation. Not so happy people are people existing in an environment with the presence of irritants. Mood swings is normal. It happens because we are meeting different combinations of people, tasks and acts which can or can not irritate us. Other factors such as being competitive, high standards and expectations, ambition or even rivalry can give people extreme moods. These factors can keep them motivated, fulfilled and alert; however, these factors are also toxic to our relationships with other people and our own peace of mind. Admitted personality is based on mood. However, zodiac signs description of individual personalities are relatively vague and differs from each person. Sleep is the best recommended way to relax and be calm. Also, people who find time to meditate and self-talk can easily achieve peace of mind and overcome difficulties. Self-talking can be a way to ease out strong thoughts from our stressful environments. Other people’s way of distressing themselves could be the reason of irritation of other people. Some of these examples include drunk people who are trying to ease out their burden. In Japan, majority of the respondent does not like to hear noise. In the Philippines, the number one daily cause of irritation of the majority is reckless and mean driver. All of the respondents had consistently said that they hate people who ask about their private information. Students in Todai’s main stressor come from research requirements and presence of negative people.
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IX. Acknowledgement
I wish to mention the name of these people who, despite their busy schedule and reluctance, had greatly contributed in
this survey : Charmine Joy T. Esta, Joy F. Gacelo, Ellen Pia Bacosa, Mildred Sotto, Sarah Agatha Geron, Richelle
Dela Cruz Molon, Vanessa Gaborro, Nabeel, Kenxa Oitate, Shohei Koyanugi, Shiori Tanabe, Jun Tanemoto, Ma.
Yamamoto, Ai Nagashima, Leema Farzana, Kyoko Matsui, Hajime Mizoguchi, Jun Lee, Faizah, Wakhitatik
NurfaidaDuong Nguyet Thanh, Hendra Ramdhani, Shams Mohammad, Pal Mahendra Kumar, Ahmad Naveed, Fan
Zipei, Nishimae. Your effort had shown me the importance of having reliable people.
X. References
Social Network Analysis : Introduction to Special Edition by Nick Crossley (University of Manchester), Christina Prell (University of Sheffield) and John Scott (University of Plymouth), Methodological Innovations Online 4 (2009) 1-7 Analyzing (Social Media) Networks with NodeXL by Marc A.Smith, et al. Stakeholders Analysis and Social Network Analysis in Natural Resource Management by Christina Prell, Klaus Hubacek and Mark Reed, 2007 Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives by Nicholas A. Christakis and James H. Fowler, 2009, Little Brown and Company , New York Transcript of Forum on Connected Social Network Analysis : A brief theoretical review and further perspectives in the study of Information technology by Francesco Martino and Andrea Spoto, Italy, 2006.
Social Network Analysis: Introduction to Special Edition by C. Prell and Scott, 2009 NetDraw 2.089
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Appendix 1: Sample Survey Questionnaire Name : _____________________ Age : _________ Birthday :___________________ Country _________ Role / Sequence of Birth in the Family: ___________________________ Do you happen to know any of these people, kindly describe their frequent moods , %