Graph-Based Social Media Analysis

Graph-Based Social Media Analysis Front Cover
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442 pages

Book Description

Focused on the mathematical foundations of social media , Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and theory with linear algebra, media, machine learning, analysis, and signal processing.

Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the description and analysis of graphs, in social media studies.

The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution.

Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more.

This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

Table of Contents

Chapter 1 - Graphs in Social and Digital Media
Chapter 2 - Mathematical Preliminaries: Graphs and Matrices
Chapter 3 - Algebraic Graph Analysis
Chapter 4 - Web Search Based on Ranking
Chapter 5 - Label Propagation and Information Diffusion in Graphs
Chapter 6 - Graph-Based Pattern Classification and Dimensionality Reduction
Chapter 7 - and Tensor Factorization with Recommender System Applications
Chapter 8 - Multimedia Social Search Based on Hypergraph Learning
Chapter 9 - Graph Signal Processing in Social Media
Chapter 10 - Big Data Analytics for Social Networks
Chapter 11 - Semantic Model Adaptation for Evolving Big Social Data
Chapter 12 - Big Graph Storage, Processing and Visualization

Book Details

  • Title: Graph-Based Social Media Analysis
  • Length: 442 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2015-12-22
  • ISBN-10: 149871904X
  • ISBN-13: 9781498719049
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