igdtuw workshop
TRANSCRIPT
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]