Centre for Research in Amplified Practice
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Centre forResearch inAmplifiedPractice
Image: CC-BY-NC-ND the_forgotten_nomadhttps://flic.kr/p/kubCDA
Making the complex less complicated:An introduction to network analysis
Martin Hawksey
@mhawksey
#iltaedtech17
http://go.alt.ac.uk/iltaedtech17-networksThis work is licensed under a
Creative Commons Attribution 4.0. CC-BY
mhawksey
Image: CC-BY m.hawksey https://flic.kr/p/qbMRze© RAND Corporation 1964
On Distributed Communications: 1. Introduction to Distributed Communications Network
Volume of data pre 2015 Volume of data since 2015
CC-BY-NC katie wheelerhttps://flic.kr/p/jmiuEG
alt.ac.uk
Moreno (1934) Who Shall Survive?Copyright: Nervous and Mental Disease Publishing Co.
Origins
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Nodeor vertex
Nodeor vertex
Edgeor link
Edgeor link
Basics
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Ingram (2012), Visualising Data: Seeing is Believinghttp://www.richardingram.co.uk/2012/12/visualising-data-seeing-is-believing/
Network Measures
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Ingram (2012), Visualising Data: Seeing is Believinghttp://www.richardingram.co.uk/2012/12/visualising-data-seeing-is-believing/
Network Measures
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PageRank
Image Public Domainhttps://commons.wikimedia.org/wiki/File:PageRanks-Example.svg
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Making networks
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Examples
Bakharia and Dawson (2011) SNAPP: A Bird’s-eye View of Temporal Participant Interaction https://www.slideshare.net/aneeshabakharia/snapp-learning-analytics-and-knowledge-conference-2011
Learner Isolation Facilitator Centric
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Examples
Bakharia and Dawson (2011) SNAPP: A Bird’s-eye View of Temporal Participant Interaction https://www.slideshare.net/aneeshabakharia/snapp-learning-analytics-and-knowledge-conference-2011
Non Interacting Groups Facilitator Bias
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CC-BY Magnus Bråthhttps://flic.kr/p/9doZ1j
Fur Ball
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ExamplesSituational Awareness
@mhawksey
#ukoer hashtag community 2010CC-BY psychemedia https://flic.kr/p/8JBzAo
“
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Graphs can be a powerful way to represent relationships between data, but they are also a very abstract concept, which means that they run the danger of meaning something only to the creator of the graph. Often, simply showing the structure of the data says very little about what it actually means, even
though it’s a perfectly accurate means of representing the data. Everything looks like a graph, but almost nothing should
ever be drawn as one. Ben Fry in ‘Visualizing Data’
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CC-BY-SA miss Murasakihttps://flic.kr/p/bCafgG
Paws
alt.ac.ukEric Berlow: Simplifying complexity
https://www.ted.com/talks/eric_berlow_how_complexity_leads_to_simplicity@mhawksey
alt.ac.ukEric Berlow: Simplifying complexity
https://www.ted.com/talks/eric_berlow_how_complexity_leads_to_simplicity@mhawksey
alt.ac.ukEric Berlow: Simplifying complexity
https://www.ted.com/talks/eric_berlow_how_complexity_leads_to_simplicity@mhawksey
T A G S . H A W K S E Y . I N F Ogo.alt.ac.uk/iltaedtech17-tags
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Tools for exploratory analytics
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Key points
◊ Getting to this and you are over
80% or the way
◊ There are a lot of very
knowledgeable people in the
community willing to help
◊ Go explore … and have fun
@mhawksey
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Getting Social Network Data
◊ Using Twitter as a data source: an overview of
social media research tools (updated for 2017)
◊ Twitter: How to archive event hashtags and create
an interactive visualization of the conversation
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Thank you!
@mhawksey+MartinHawksey
http://go.alt.ac.uk/iltaedtech17-networks
@mhawksey
Association for Learning Technology
Registered charity number: 11600399
www.alt.ac.uk @A_L_T
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