Recommendation and Search in Social Networks

• Corporate Author: SpringerLink (Online service)
• Other Authors: Ulusoy, Özgür (Editor), Tansel, Abdullah Uz (Editor), Arkun, Erol (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Lecture Notes in Social Networks,
• Subjects: Computer science.; Data mining.; Physics.; Complexity, Computational.; Mass media.; Communication.; Social sciences in mass media.; Computer Science.; Data Mining and Knowledge Discovery.; Media Sociology.; Complex Networks.; Complexity.

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 patte...

Table of Contents:

• Adaptive Identification of Hashtags for Real-Time Event Data Collection
• Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication
• Accuracy vs Novelty & Diversity in Recommender Systems: A Non-Uniform Random Walk Approach
• Social Network Derived Credibility
• Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining
• A Comprehensive Analysis of Detection of Online Paid Posters
• An Improved Collaborative Recommendation System by Integration of Social Tagging Data
• Personalization of Web Search using Social Signals
• The Pareto Principle is Everywhere: Finding Informative Sentences for Opinion Summarization through Leader Detection
• Social Media Question Asking: A Developing Country Perspective
• Evolutionary Influence Maximization in Viral-Marketing
• Mining and Analyzing the Italian Parliament: Party Structure and Evolution.