國立虎尾科技大學 |

Hybrid intelligence for social networks

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid intelligence for social networks/ edited by Hema Banati ... [et al.].
other author:	Banati, Hema.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiv, 327 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Artificial intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-65139-2
ISBN:	9783319651392

Hybrid intelligence for social networks
Hybrid intelligence for social networks[electronic resource] /edited by Hema Banati ... [et al.]. - Cham :Springer International Publishing :2017. - xiv, 327 p. :ill., digital ;24 cm.

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.

ISBN: 9783319651392

Standard No.: 10.1007/978-3-319-65139-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: TA347.A78

Dewey Class. No.: 006.3

Hybrid intelligence for social networks
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245 0 0 $a Hybrid intelligence for social networks $h [electronic resource] / $c edited by Hema Banati ... [et al.].
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300 $a xiv, 327 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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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