Description

Book Synopsis
This book delves into themes including social network theory, computational methods, data analysis, and the application of network models to understand complex social systems. Undergraduate students studying social sciences gain insights into network analysis, equipping them with valuable skills for analyzing social relationships and structures. Practitioners in fields such as sociology, anthropology, and data science expand their data analysis skills, making it a valuable resource for professionals engaged in social network analysis. Policymakers can draw from this knowledge to inform policies and interventions that leverage social network insights, and the general public gains awareness of the role of computational models in understanding human behavior and social networks.

Table of Contents
  • Chapter 1 Introduction to Social Network Analysis
  • Chapter 2 Network Data Collection and Representation
  • Chapter 3 Centrality and Influence Measures
  • Chapter 4 Community Detection and Analysis
  • Chapter 5 Diffusion and Information Spread in Social Networks
  • Chapter 6 Opinion Mining and Sentiment Analysis
  • Chapter 7 Link Prediction and Recommender Systems
  • Chapter 8 Social Network Simulation and Modeling

Computational Models for Social Network Analysis

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    A Hardback by Ravi Ranjan Kumar

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      Book details

      Publisher Arcler Education Inc
      Published 29 February 2024
      ISBN-13 9781774699126
      978-1774699126
      ISBN-10 1774699125
      Also in:
      Social groups, communities and identities

      Description

      Book Synopsis
      This book delves into themes including social network theory, computational methods, data analysis, and the application of network models to understand complex social systems. Undergraduate students studying social sciences gain insights into network analysis, equipping them with valuable skills for analyzing social relationships and structures. Practitioners in fields such as sociology, anthropology, and data science expand their data analysis skills, making it a valuable resource for professionals engaged in social network analysis. Policymakers can draw from this knowledge to inform policies and interventions that leverage social network insights, and the general public gains awareness of the role of computational models in understanding human behavior and social networks.

      Table of Contents
      • Chapter 1 Introduction to Social Network Analysis
      • Chapter 2 Network Data Collection and Representation
      • Chapter 3 Centrality and Influence Measures
      • Chapter 4 Community Detection and Analysis
      • Chapter 5 Diffusion and Information Spread in Social Networks
      • Chapter 6 Opinion Mining and Sentiment Analysis
      • Chapter 7 Link Prediction and Recommender Systems
      • Chapter 8 Social Network Simulation and Modeling

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