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Hybrid intelligence for social networks

Title By: Banati, Hema [Edited by] | Bhattacharyya, Siddhartha [Edited by] | Mani, Ashish [Edited by] | Koppen, Mario [Edited by]
Material type: BookPublisher: Cham : Springer, c2017.Description: xiv, 327 p. : ill. ; 25 cm.ISBN: 9783319651385Subject(s): Artificial intelligence | Computational intelligence | Online social networksDDC classification: 006.3 HY BR Online resources: Location Map
Summary:
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.
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Item type Home library Call number Status Notes Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection 		006.3 HY BR (Browse shelf) Available May2018 T0058436
Total holds: 0

Social Networks: Fundamentals and Applications
MapReduce-Based K-FA Algorithm for Detecting Communities in Social Networks. Group Search Optimization Strategy for Community Detection in Complex Networks Strategizing Information Dissemination in Real-Life Networks
Nature-Inspired Heuristics Approach to Partitioning Complex Interaction Networks
ROGO: Recommendations on the Go for Travel Tweeters
Analysing Social Interaction Networks: Improving Teaching Learning Pedagogies
Adapting Trustworthy Social Web Environments for the Cloud
Enhanced Black-Hole Algorithm for Viral Marketing
Comparative Analysis of Network Visualization Tools
Enacting a Prioritized Health Awareness Campaign for Social Web Users
Identifying Clusters in Complex Dynamic Social Networks Using Evolutionary Algorithms
Using Intuitionistic Fuzzy Sets to Prioritize Relationships Among Facebook Users
A Predictive Approach to Ranking Academic Articles.

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.

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