Details

Data Mining for Social Network Data

Annals of Information Systems, Band 12

von: Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, Hsinchun Chen
CHF 118.00
Verlag:	Springer
Format:	PDF
Veröffentl.:	10.06.2010
ISBN/EAN:	9781441962874
Sprache:	englisch
Anzahl Seiten:	216

In den Warenkorb

Als Gutschein

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

Titelbeschreibung

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations.

Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Inhaltsverzeichnis

Social Network Data Mining: Research Questions, Techniques, and Applications.- Automatic Expansion of a Social Network Using Sentiment Analysis.- Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis.- A Social Network-Based Recommender System (SNRS).- Network Analysis of US Air Transportation Network.- Identifying High-Status Nodes in Knowledge Networks.- Modularity for Bipartite Networks.- ONDOCS: Ordering Nodes to Detect Overlapping Community Structure.- Framework for Fast Identification of Community Structures in Large-Scale Social Networks.- Geographically Organized Small Communities and the Hardness of Clustering Social Networks.- Integrating Genetic Algorithms and Fuzzy Logic for Web Structure Optimization.

Back cover copy

Social Network Data Mining: Research Questions, Techniques, and Applications
Nasrullah Memon, Jennifer Xu, David L. Hicks and Hsinchun Chen

Automatic expansion of a social network using sentiment analysis
Hristo Tanev, Bruno Pouliquen, Vanni Zavarella and Ralf Steinberger

Automatic mapping of social networks of actors from text corpora: Time series analysis
James A. Danowski and Noah Cepela
A social network based recommender system (SNRS)
Jianming He and Wesley W. Chu

Network analysis of U.S. air transportation network
Guangying Hua, Yingjie Sun, and Dominique Haughton

Identifying high-status nodes in knowledge networks
Siddharth Kaza and Hsinchun Chen

Modularity for bipartite networks
Tsuyoshi Murata

ONDOCS: Ordering nodes to detect overlapping community structure
Jiyang Chen, Osmar R. Zaiane, J¨org Sander, and Randy Goebel

Framework for Fast Identification of Community Structures in Large-Scale Social Networks
Yutaka I. Leon-Suematsu and Kikuo Yuta

Geographically organized small communities and the hardness of clustering social networks
Miklós Kurucz and András A. Benczúr

Integrating genetic algorithms and fuzzy logic for web structure optimization
Iltae Lee, Negar Koochakzadeh, Keivan Kianmehr, Reda Alhajj, and Jon Rokne

Sonderbeitrag

Using machine learning techniques to analyze social networks A multidisciplinary source, which will draw the interest of researchers and students in sociology, computer science and statistics The research outcome will be of value to study different problems of social impact including market analysis, terrorist groups, etc. Includes supplementary material: sn.pub/extras