Recommendation and Search in Social Networks

✍ Scribed by Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun (eds.)

Publisher: Springer International Publishing
Year: 2015
Tongue: English
Leaves: 294
Series: Lecture Notes in Social Networks
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xi
Adaptive Identification of Hashtags for Real-Time Event Data Collection....Pages 1-22
Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication....Pages 23-39
Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach....Pages 41-57
Social Network Derived Credibility....Pages 59-75
Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining....Pages 77-100
A Comprehensive Analysis of Detection of Online Paid Posters....Pages 101-118
An Improved Collaborative Recommendation System by Integration of Social Tagging Data....Pages 119-138
Personalization of Web Search Using Social Signals....Pages 139-163
The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection....Pages 165-187
Social Media Question Asking: A Developing Country Perspective....Pages 189-216
Evolutionary Influence Maximization in Viral Marketing....Pages 217-247
Mining and Analyzing the Italian Parliament: Party Structure and Evolution....Pages 249-279
Back Matter....Pages 281-289

✦ Subjects

Data Mining and Knowledge Discovery; Media Sociology; Complex Networks; Complexity

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