Data Mining for Social Network Data: Annals of Information Systems, cartea 12
Editat de Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, Hsinchun Chenen Limba Engleză Paperback – 9 iul 2010
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Specificații
ISBN-13: 9781441962867
ISBN-10: 1441962867
Pagini: 216
Ilustrații: X, 216 p. 68 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:2010
Editura: Springer Us
Colecția Springer
Seria Annals of Information Systems
Locul publicării:New York, NY, United States
ISBN-10: 1441962867
Pagini: 216
Ilustrații: X, 216 p. 68 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:2010
Editura: Springer Us
Colecția Springer
Seria Annals of Information Systems
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
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.
Textul de pe ultima copertă
Social Network Data Mining: Research Questions, Techniques, and ApplicationsNasrullah Memon, Jennifer Xu, David L. Hicks and Hsinchun ChenAutomatic expansion of a social network using sentiment analysisHristo Tanev, Bruno Pouliquen, Vanni Zavarella and Ralf SteinbergerAutomatic mapping of social networks of actors from text corpora: Time series analysisJames A. Danowski and Noah CepelaA social network based recommender system (SNRS)Jianming He and Wesley W. ChuNetwork analysis of U.S. air transportation network Guangying Hua, Yingjie Sun, and Dominique HaughtonIdentifying high-status nodes in knowledge networksSiddharth Kaza and Hsinchun ChenModularity for bipartite networksTsuyoshi MurataONDOCS: Ordering nodes to detect overlapping community structureJiyang Chen, Osmar R. Zaiane, J¨org Sander, and Randy GoebelFramework for Fast Identification of Community Structures in Large-Scale Social NetworksYutaka I. Leon-Suematsu and Kikuo YutaGeographically organized small communities and the hardness of clustering social networksMiklós Kurucz and András A. BenczúrIntegrating genetic algorithms and fuzzy logic for web structure optimizationIltae Lee, Negar Koochakzadeh, Keivan Kianmehr, Reda Alhajj, and Jon Rokne
Caracteristici
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