MARC 主機 00000nam a2200517 i 4500
001 978-3-319-65139-2
003 DE-He213
005 20171128192758.0
006 m o d
007 cr nn 008maaau
008 171128s2017 gw s 0 eng d
020 9783319651392|q(electronic bk.)
020 9783319651385|q(paper)
024 7 10.1007/978-3-319-65139-2|2doi
040 GP|cGP|erda
041 0 eng
050 4 TA347.A78
072 7 UYQ|2bicssc
072 7 TJFM1|2bicssc
072 7 COM004000|2bisacsh
082 04 006.3|223
245 00 Hybrid intelligence for social networks /|cedited by Hema
Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario
Koppen
264 1 Cham :|bSpringer International Publishing :|bImprint:
Springer,|c2017
300 1 online resource (xiv, 327 pages) :|billustrations,
digital ;|c24 cm
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file|bPDF|2rda
505 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
520 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
650 0 Artificial intelligence
650 0 Computational intelligence
650 0 Online social networks
650 14 Computer Science
650 24 Artificial Intelligence (incl. Robotics)
650 24 Computational Intelligence
650 24 Computer Appl. in Social and Behavioral Sciences
700 1 Banati, Hema,|eeditor
700 1 Bhattacharyya, Siddhartha,|eeditor
700 1 Mani, Ashish,|eeditor
700 1 Koppen, Mario,|eeditor
710 2 SpringerLink (Online service)
773 0 |tSpringer eBooks
856 40 |uhttps://dx.doi.org/10.1007/978-3-319-65139-2
912 Springer|b110608094615
