Graph-Based Social Media Analysis (Hardcover)

Ioannis Pitas

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商品描述

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

商品描述(中文翻譯)

《基於圖的社交媒體分析》專注於社交媒體分析的數學基礎,全面介紹了在社交和數字媒體研究中使用圖分析的方法。它解決了一個重要的科學和技術挑戰,即圖分析和網絡理論與線性代數、數字媒體、機器學習、大數據分析和信號處理的融合。

本書提供了圖基社交媒體分析的概述,讓讀者清楚了解社交媒體的結構。它使用圖論,特別是對圖的代數描述和分析,在社交媒體研究中進行分析。

本書強調社交和數字媒體的大數據方面。它介紹了在線存儲大量數據和實時檢索數據的各種方法。它揭示了複雜的社交媒體現象,如信息傳播、社交媒體中的營銷和推薦系統以及不斷發展的系統。它還涵蓋了新興趨勢,如大數據分析和社交媒體的演進。

本書描述了如何進行對社交和數字媒體市場的正確分析,並提供了處理、存儲和可視化大型社交媒體數據和社交圖的見解。它包括社交和數字媒體中的圖形,圖和超圖的基礎知識,來自線性代數的數學基礎,代數圖分析,圖聚類,社區檢測,圖匹配,基於排名的網絡搜索,標籤傳播和社交媒體中的擴散,基於圖的模式識別和機器學習,基於圖的模式分類和降維等等。

本書是社交媒體和數字媒體生產和分發領域的科學家和工程師的理想參考資料。它也適用於本科或研究生課程的教材,如數字媒體、社交媒體或社交網絡。