Hybrid Intelligence for Social Networks

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, Data Processing, General Computing
Cover of the book Hybrid Intelligence for Social Networks by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319651392
Publisher: Springer International Publishing Publication: November 28, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319651392
Publisher: Springer International Publishing
Publication: November 28, 2017
Imprint: Springer
Language: English

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. 

The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. 

The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology. 

More books from Springer International Publishing

Cover of the book Quantitative Psychology Research by
Cover of the book Parental Stress and Early Child Development by
Cover of the book Cable-Driven Parallel Robots by
Cover of the book Databases and Information Systems by
Cover of the book OWL: Experiences and Directions – Reasoner Evaluation by
Cover of the book Extracellular Composite Matrices in Arthropods by
Cover of the book Beginning Data Science with R by
Cover of the book Chaotic, Fractional, and Complex Dynamics: New Insights and Perspectives by
Cover of the book Software Architecture by
Cover of the book Intelligence Sharing, Transnational Organized Crime and Multinational Peacekeeping by
Cover of the book Parliamentary Thinking by
Cover of the book The Myth of Executive Functioning by
Cover of the book Digital Libraries and Multimedia Archives by
Cover of the book Kenyatta and Britain by
Cover of the book Formal Methods for Discrete-Time Dynamical Systems by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy