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Recommendation and Search in Social Networks

  • Book
  • © 2015

Overview

Editors:
  1. Özgür Ulusoy

    1. Department of Computer Engineering, Bilkent University, Ankara, Turkey

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  2. Abdullah Uz Tansel

    1. Statistics and Computer Information Systems, Baruch College, CUNY, New York, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Erol Arkun

    1. Department of Computer Engineering, Bilkent University, Ankara, Turkey

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  • Provide a coherent collection of research results on recommendation and search in social networks
  • Offers strategies for maximizing influence in networks
  • Gives methods on improving computer-mediated communication
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Social Networks (LNSN)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xi
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  2. Adaptive Identification of Hashtags for Real-Time Event Data Collection

    • Xinyue Wang, Laurissa Tokarchuk, Felix Cuadrado, Stefan Poslad
    Pages 1-22

  3. Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication

    • Yuki Urabe, Rafal Rzepka, Kenji Araki
    Pages 23-39

  4. Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach

    • Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
    Pages 41-57

  5. Social Network Derived Credibility

    • Erica J. Briscoe, Darren Scott Appling, Heather Hayes
    Pages 59-75

  6. Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining

    • Benjamin C. M. Fung, Yan’an Jin, Jiaming Li, Junqiang Liu
    Pages 77-100

  7. A Comprehensive Analysis of Detection of Online Paid Posters

    • Cheng Chen, Kui Wu, Venkatesh Srinivasan, Xudong Zhang
    Pages 101-118

  8. An Improved Collaborative Recommendation System by Integration of Social Tagging Data

    • Sogol Naseri, Arash Bahrehmand, Chen Ding
    Pages 119-138

  9. Personalization of Web Search Using Social Signals

    • Ali Khodaei, Sina Sohangir, Cyrus Shahabi
    Pages 139-163

  10. The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection

    • Linhong Zhu, Sheng Gao, Sinno Jialin Pan, Haizhou Li, Dingxiong Deng, Cyrus Shahabi
    Pages 165-187

  11. Social Media Question Asking: A Developing Country Perspective

    • Hasan Shahid Ferdous, Mashrura Tasnim, Saif Ahmed, Md. Tanvir Alam Anik
    Pages 189-216

  12. Evolutionary Influence Maximization in Viral Marketing

    • Sanket Anil Naik, Qi Yu
    Pages 217-247

  13. Mining and Analyzing the Italian Parliament: Party Structure and Evolution

    • Alessia Amelio, Clara Pizzuti
    Pages 249-279

  14. Back Matter

    Pages 281-289
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Keywords

About this book

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.

Editors and Affiliations

  • Department of Computer Engineering, Bilkent University, Ankara, Turkey

    Özgür Ulusoy, Erol Arkun

  • Statistics and Computer Information Systems, Baruch College, CUNY, New York, USA

    Abdullah Uz Tansel

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