IGDTUW workshop

Online Social Media - Developer's Perspective

Summer Workshop @ IGDTUW

Tech Support by PreCog@IIITD

Network Analysis

anupama_agg

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

PhD Student @ IIITD

Advisor: Dr. PK

Research Area: Computational Social Science

Data Scientist

Interned at UMBC, USA & UFMG, Brazil

DSSG in India

anupama_agg

2:00 pm

3:00 pm

4:00 pm

4:30 pm

5:00 pm

Social Network Analysis (SNA) •SNA Metrics

•Centrality, Modularity, Communities, Indegree, Outdegree, Homophily…

•Get your own Twitter Data

•Data Analysis - Gephi

Brainstorming Activity

Q&A / Help in Research(!)

Get Your Twitter Data!

•Twecoll : Command Line Twitter Data Collection Tool •Friends (Followees), Friends of Friends

http://bit.ly/IGDTUWAA

> python twecoll init twitter_username > python twecoll fetch twitter_username > python twecoll edgelist twitter_username

> cat anupama_agg.gml | grep -v weight | grep - v rank > anupama_agg_no_rank.gml

What’s a Graph?

Nodes: Entities (like Users) Edges: Kind of Relationships

How would a Computer understand a Graph?

???

How would a Computer understand a Graph?

Adjacency Matrix GraphML CSV

Adjacency Matrix

src: http://www.stoimen.com/blog/2012/08/31/computer-algorithms-graphs-and-their-representation/

GraphML Format

src: http://graphml.graphdrawing.org/primer/graphml-primer.html

SNA Metrics

src: http://www.slideshare.net/ganith2k13/graph-theory-26101317

SNA MetricsCentrality : Finding out which is the most central / important node

src: https://www.cl.cam.ac.uk/teaching/1213/L109/stna-lecture3.pdf

Indegree: Most influential

Outdegree: Who disseminates information

Betweenness: Quickly approachable

Closeness: Who is close to everyone

SNA Metrics

Community : Group of similar people

Modularity : Fraction of the edges that fall within the given group

Communities based on Degree

2:00 pm

3:00 pm

4:00 pm

4:30 pm

5:00 pm

Social Network Analysis (SNA) •SNA Metrics

•Centrality, Modularity, Communities, Indegree, Outdegree, Homophily…

•Get your own Twitter Data

•Data Analysis - Gephi

Brainstorming Activity

Q&A / Help in Research(!)

2:00 pm

3:00 pm

4:00 pm

4:30 pm

5:00 pm

Social Network Analysis (SNA) •SNA Metrics

•Centrality, Modularity, Communities, Indegree, Outdegree, Homophily…

•Get your own Twitter Data

•Data Analysis - Gephi

Brainstorming Activity

Q&A / Help in Research(!)

Find Food Enthusiasts!

Aim / Phenomena to Study:Find Food Enthusiasts

Social Network:Instagram

Kind of Network Data Needed:Users of photos tagged #foodporn Who likes whose photos

What will I get?Users who post best food photos (Indegree Centrality / Ranking) Users who like food (photos) a lot! (Outdegree Centrality / Ranking)

2:00 pm

3:00 pm

4:00 pm

4:30 pm

5:00 pm

Social Network Analysis (SNA) •SNA Metrics

•Centrality, Modularity, Communities, Indegree, Outdegree, Homophily…

•Get your own Twitter Data

•Data Analysis - Gephi

Brainstorming Activity

Q&A / Help in Research(!)

“Who Followed You” TimeStamp Data

https://github.com/rickshawman/twitter

Email generated file to [email protected]