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Record Nr. |
UNINA9910254840903321 |
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Titolo |
Hybrid Intelligence for Social Networks / / edited by Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Köppen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIV, 327 p. 142 illus., 105 illus. in color.) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computational intelligence |
Application software |
Artificial Intelligence |
Computational Intelligence |
Computer Appl. in Social and Behavioral Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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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. . |
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Sommario/riassunto |
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This book explains aspects of social networks, varying from |
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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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