Social Network Analysis with Applications

A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more

Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations.

Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included.

Along with practice problems and exercises, this easily accessible book covers:
* The basic concepts of networks, nodes, links, adjacency matrices, and graphs
* Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities
* Graph-level measures, with a special focus on both the visual and numerical analysis of networks
* Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data
* Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more

An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.

This book focuses on models and methods for social network analysis applied to organizational risk. It introduces networks by defining what they are and the basic concepts of networks, nodes, links, adjacency matrices and graphs. Then it moves into Centrality, the basic measures of degree, betweenness, closeness, eigenvector centrality, authority, and hub. Graph Level Measures are also covered, with special focus on both the visual and numerical analysis of networks, which provides methods for investigating larger networks using calculated node and graph level network measures. There is a chapter on Matrix Algebra that outlines basic concepts in linear algebra that are used to develop networks from relational data. Concepts include matrix addition, subtraction, multiplication, transpose and inverse. Other topics in the book include, Meta-Networks and Relational Algebra, Social Links, Diffusion and Counter-Insurgency, Subgroup analysis, Sources of Data, which covers issues related to collecting network data, Network Comparison, and Assessing Organizational Risk.

A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject.