RECSM Summer School: Social Network Analysis Pablo Barber a - - PowerPoint PPT Presentation

recsm summer school social network analysis
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RECSM Summer School: Social Network Analysis Pablo Barber a - - PowerPoint PPT Presentation

RECSM Summer School: Social Network Analysis Pablo Barber a School of International Relations University of Southern California pablobarbera.com Networked Democracy Lab www.netdem.org Course website: github.com/pablobarbera/big-data-upf


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RECSM Summer School: Social Network Analysis

Pablo Barber´ a School of International Relations University of Southern California pablobarbera.com Networked Democracy Lab www.netdem.org Course website:

github.com/pablobarbera/big-data-upf

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Moreno, “Who Shall Survive?” (1934)

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Moreno, “Who Shall Survive?” (1934)

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Moreno, “Who Shall Survive?” (1934)

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Moreno, “Who Shall Survive?” (1934)

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Christakis & Fowler, NEJM, 2007

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Adamic & Glance, 2004, IWLD

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Email network of a company

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Barbera et al, 2015, Psychological Science

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Social Network Analysis

Today:

◮ Basic concepts ◮ Importing network data into R ◮ Network visualization ◮ Node and network-level summary statistics ◮ Community detection ◮ Network decomposition techniques

Beyond the scope of this course (but ask me!)

◮ Modeling network properties: Exponential random graph

models

◮ Large-scale network visualization with Gephi ◮ Bipartite/Multiplex networks

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Basic concepts

◮ Node (vertex): each of the units in the network

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Basic concepts

◮ Node (vertex): each of the units in the network ◮ Edge (tie): connection between nodes

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Basic concepts

◮ Node (vertex): each of the units in the network ◮ Edge (tie): connection between nodes

◮ Undirected: symmetric connection, represented by lines

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Basic concepts

◮ Node (vertex): each of the units in the network ◮ Edge (tie): connection between nodes

◮ Undirected: symmetric connection, represented by lines ◮ Directed: imply direction, represented by arrows

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Basic concepts

◮ Node (vertex): each of the units in the network ◮ Edge (tie): connection between nodes

◮ Undirected: symmetric connection, represented by lines ◮ Directed: imply direction, represented by arrows

◮ A network consists of a set of nodes and edges

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Basic concepts

A few examples:

◮ Classroom: students / friendships

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Basic concepts

A few examples:

◮ Classroom: students / friendships ◮ Twitter: users / retweets

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Basic concepts

A few examples:

◮ Classroom: students / friendships ◮ Twitter: users / retweets ◮ Academic literature: papers / citations

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Basic concepts

A few examples:

◮ Classroom: students / friendships ◮ Twitter: users / retweets ◮ Academic literature: papers / citations ◮ Internet: websites / hyperlinks

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Basic concepts

A few examples:

◮ Classroom: students / friendships ◮ Twitter: users / retweets ◮ Academic literature: papers / citations ◮ Internet: websites / hyperlinks ◮ Trade: countries / trade flows

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Basic concepts

A few examples:

◮ Classroom: students / friendships ◮ Twitter: users / retweets ◮ Academic literature: papers / citations ◮ Internet: websites / hyperlinks ◮ Trade: countries / trade flows ◮ Biology: neurons / connections

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Basic concepts

Network Visualization

Jennifer Josh Evgeniia Whitney Tom

Adjacency Matrix J J E W T J 1 1 J 1 1 1 E 1 1 W 1 1 1 T 1 1

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Basic concepts

Network Visualization

Jennifer Josh Evgeniia Whitney Tom

Edgelist Node1 Node2 1 Jennifer Josh 2 Jennifer Evgeniia 3 Josh Whitney 4 Josh Tom 5 Whitney Tom 6 Evgeniia Whitney