Social Media Analysis**in a nutshell

Nasri Messarra, Ph.D.

American University of Beirut

Université Saint Joseph

1

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

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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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178

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232

253

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