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Social Networks Analysis and Case Studies [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3709119901
  • ISBN-10:  3709119901
  • ISBN-13:  9783709119907
  • ISBN-13:  9783709119907
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2016
  • Pub Date:  01-Apr-2016
  • SKU:  3709119901-11-SPRI
  • SKU:  3709119901-11-SPRI
  • Item ID: 100990858
  • List Price: $54.99
  • Seller: ShopSpell
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The present volume provides?a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health.?With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development,?Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Glossary.- Introduction.- Ranking Authors on the Web: a Semantic AuthorRank; L. Ahmedi et al.- Detecting Neutral Nodes in a Network of Heterogeneous Agent Based System; F.H. Fard, B.H. Far.- Global Structure in Social Networks with Directed Typed Edges; D.B. Skillicorn, Q. Zheng.- Social Networks and Group Effectiveness: The Role of External Network Ties; F. Bertolotti, M.R. Tagliaventi.- Overlapping Community Discovery Methods: a Survey; A. Amelio, C. Pizzuti.- Classification in Social Networks; Z. ?ataltepe, A. S?nmez.- Experiences Using BDS, a crawler for Social Internetworking Scenarios; F. Buccafurri et al.- Privacy and Ethical Issues in Social Network Analysis; L. Chen, M. Yuan.- Social Media: the Evolution of E-Health Services; T. Guzzo et al.

Experts in the field of social networks aim to help readers grasp the state of the art in the topic of network-based representation and analysis in this collection of papers. & the editors give readers a snapshot of recent work by presenting in each chapter a self-contained paper from different experts in the field. & recommend the book to anyone that wants to quickly get a grasp on the heterogeneity ol3>

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