
BOOKS - NETWORK TECHNOLOGIES - Social Network Analytics Computational Research Method...

Social Network Analytics Computational Research Methods and Techniques
Author: Nilanjan Dey, Samarjeet Borah
Year: 2019
Format: PDF
File size: 29.6 MB
Language: ENG

Year: 2019
Format: PDF
File size: 29.6 MB
Language: ENG

Book Description: Social Network Analytics Computational Research Methods and Techniques Authors: [List the authors' names] Publication Date: [Insert publication date] Pages: [Insert number of pages] Publisher: [Insert publisher's name] Summary: Social Network Analytics Computational Research Methods and Techniques is an insightful book that delves into the intricacies of social network analysis, exploring the latest developments and findings in this rapidly evolving field of research. With contributions from renowned experts in the field, the book offers a comprehensive overview of the technical aspects of analysis, including visualizing and modeling network theory, mathematical models, big data analytics of social networks, and multidimensional scaling. This book is a must-read for anyone looking to gain a deeper understanding of the complexities of social networks and their applications across various domains. Plot: The book begins by highlighting the significance of studying and understanding the technological process of developing modern knowledge as the foundation for human survival and unity in a warring world. The authors emphasize the need to develop a personal paradigm for perceiving the technological process, which is crucial for navigating the rapidly changing landscape of technology and society. They argue that this approach will enable individuals to adapt and thrive in the face of technological advancements and societal shifts. Chapter 1: Introduction to Social Network Analysis In the first chapter, the authors provide an overview of social network analysis, discussing its importance and relevance in today's interconnected world.
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