Recommendation and Search in Social Networks

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ulusoy, Özgür (Editor ), Tansel, Abdullah Uz (Editor ), Arkun, Erol (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Social Networks,
Temas:
Data mining.
Mass media.
Graph theory.
Dynamics.
Nonlinear theories.
Data Mining and Knowledge Discovery.
Media Sociology.
Graph Theory.
Applied Dynamical Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares