Social Network Analysis

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Bicycle with

Conservation of Kinetic energy

Chintan Vinod Shinde

2Concept Map

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*(Lin, 2002)

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Why Social Network Analysis?

Understanding dynamics of information flow

Identifying important actors Leveraging the best out of existing

network› Faster and efficient information diffusion› Greater control over data flow

4Prof Anil Gupta’s FB network

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Prof Anil Gupta’s FB network

Bridges

Pollinators

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We are looking for….

Pollinators: Stars of the network› Not necessarily the most popular› A good pollinator has more number of

pollinators down stream› Many ways of identifying critical actors

Bridges: Important connections. › May not have a diverse sub-network, but

connect to other critical actors

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Parameters for Pollinators

Number of outward connections: measured using the metric, out-degree.

Diversity: › A measure of the degree to which the actor can spread the data. › Measured using the betweenness centrality.

No of prominent actors downstream› Measured by eigen vector centrality

Depth: Depth is defined here to signify how much distance (in terms of degrees of separation) the information can flow thru an actor. › The smaller the closeness centrality the more isolated(or distant) from the network,

the actor is.› Can be measured by the negative value of the closeness centrality of the most

distant actor in the network.

Density: Dense network in one city

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Ahmedabad

Varanasi Raipur

Mumbai

New Delhi

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City wise information flow

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Ashok kumar khadia

GTU Innovation CouncilJeetendra Jeet

Source- Vany Nagpal

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Sharad PurohitAnil Sharma

Some important pollinators

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Geospatial DiffusionMittiCool

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Potential Outputs…

An algorithm which identifies each of the key elements in the network

Characteristics of key actors. Targeted Diffusion through identified

key actors