Hybrid Intelligence for Social Networks
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Beschreibung
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.
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.
Contributions provide a multidimensional approach Useful reference for graduate students and researchers in computer science, electronics engineering, communications, and information technology Explains techniques used to develop robust, time-efficient, fail-safe hybrid intelligent systems
Autor*in
Hema Banati
Themen in »Hybrid Intelligence for Social Networks«
Social networks Soft computing Data mining Nature-inspired computing Community detection Complex networks Network partition
Stimmen zu »Hybrid Intelligence for Social Networks«
“The book stands out in its meticulous analysis and articulation of contemporary methodologies in understanding social networks. ... Each chapter is authored by experts, ensuring credibility and reliability of the content. … ‘Hybrid Intelligence for Social Networks' is an invaluable resource for researchers and students interested in comprehending the intricate relationship between technology, data, and societal impact within social networks. … book's overall breadth of coverage and depth of analysis make it a commendable reference in this rapidly evolving field.” (Palanichamy Naveen, AI & SOCIETY, Vol. 40 (7), 2025)
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