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Encyclopedia of Social Network Analysis and Mining / edited by Reda Alhajj, Jon Rokne.

Alhajj, Reda. editor.; Rokne, Jon. editor.
2018
QA76.9.D343
Available Online
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Title
Encyclopedia of Social Network Analysis and Mining / edited by Reda Alhajj, Jon Rokne.
Edition
Second Edition.
ISBN
9781493971312 (electronic book)
149397131X (electronic book)
9781493971305
DOI
https://doi.org/10.1007/978-1-4939-7131-2
Published
New York, NY : Springer, 2018.
Language
English
Description
1 online resource : illustrations.
Item Number
10.1007/978-1-4939-7131-2 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
Social Network Analysis and Mining Encyclopedia (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particul ar on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Alhajj, Reda. editor.
Rokne, Jon. editor.
Available in Other Form
Print version: 9781493971305
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Applied Computational Geometry for Social Networks
Basics of Social Network Model Construction and Evolution
Crowdsourcing, Opinion Mining, Fusion and Influence Analysis
Current and Future Research Directions
Data Collection, Data Extraction, and Data Preparation for Social Networks Analysis and Mining
Data Management for Social Networks and Social Media
Data Mining and Machine Learning Techniques for Social Networks
Graph Theory for Social Networks (Sociograms)
History of Social Networks: Past, Present and Future
Internet, Web 2.0, Web Services and Semantic Web
Linear Algebra and Statistics for Social Networks
Online Social Networks, Social Networking Sites and Social Media
Privacy and Security Issues in Social Networks
Sentiment Analysis and Recommender Systems
Social Communities
Social Network Analysis
Social Network Applications in Business, Organizations, Industry and Case studies
Social Network Applications in Homeland Security, Terrorism, Fraud Detection, Public Sector, Politics and Case studies
Social Network Applications in Scientific, Engineering, Medical Domain and Case studies
Social Network Construction, Visualization and Analysis Tools
Spatio-Temporal Aspects in Social Networks and Social Media
Static Versus Dynamic Networks
Technology for Online Social Networking and Human Computer Interaction.

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