social media analysis in a nutshell
TRANSCRIPT
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Social Media Analysis**in a nutshell
Nasri Messarra, Ph.D.
American University of Beirut
Université Saint Joseph
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Getting and graphing the data
Getting the data Graphing/Analyzing the data
Facebook Twitter Facebook Twitter
NodeXL NodeXL NodeXL NodeXL
Graph Api Twitter Api Gephi Gephi
Outwit (scraping) SPSS SPSS
Facebook Analytics
Manual Manual
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How it looks
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Finding the “mayors” of a Twitter discussion in a given period
• األنتخابقانون
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Understanding the roles
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Calculating metrics
012345678
Graph Metricsقانون األنتخاب
Maximum Geodesic Distance (Diameter)
0.0000.0500.1000.1500.2000.2500.3000.3500.4000.450
Graph Metricsقانون األنتخاب
Graph Density
Graph Metric Value
Graph Type Directed
Vertices 474
Unique Edges 406
Edges With Duplicates 851
Total Edges 1257
Self-Loops 811
Reciprocated Vertex Pair Ratio 0.04040404
Reciprocated Edge Ratio 0.077669903
Connected Components 221
Single-Vertex Connected Components 167
Maximum Vertices in a Connected Component 93
Maximum Edges in a Connected Component 278
Maximum Geodesic Distance (Diameter) 15
Average Geodesic Distance 5.808979
Graph Density 0.001378221
Modularity 0.319885
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Content analysis
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Sentiment analysis
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User’s network
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User in search network
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Network Interventions
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Network Interventions
Stimulation
Individuals (Champions)
Segmentation (Groups)
Induction (peer-to-peer)
Alteration (Engineering)
Adding/Deleting Vertices
Adding/Deleting Edges
Rewiring
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Misc. – Analysis of the network of two friends on Facebook
200 engaged fans as friends
from stereotype
100 engaged fans as friends
from “customer”
Only 30 mutual friends
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Misc. – Comparison of the same discussion on two channels
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Twitter discussion about the garbage crisisSep. 8, 2015Civil society groups Community Clusters
Twitter discussion about the garbage crisisFeb. 2, 2016Two major groups: IranianAffairs and KSA24Polarized crowds
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Optimization of networks
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