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

Format:

Book

Contributor:

Alhajj, Reda, editor.

Rokne, J. (Jon), 1941- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Computer networks.

Sociology.

Sociophysics.

Econophysics.

Bioinformatics.

Computers and civilization.

System safety.

Computer Communication Networks.

Sociology, general.

Data-driven Science, Modeling and Theory Building.

Computers and Society.

Security Science and Technology.

Local Subjects:

Computer Communication Networks.

Sociology, general.

Data-driven Science, Modeling and Theory Building.

Bioinformatics.

Computers and Society.

Security Science and Technology.

Physical Description:

1 online resource (611 illustrations, 425 illustrations in color. eReference)

Edition:

First edition 2014.

Contained In:

Springer Nature eReference

Place of Publication:

New York, NY : Springer New York : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

The Encyclopedia of Social Network Analysis and Mining (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. While ESNAM reflects the state-of-the-art in social network research, the field had its start in the 1930s when fundamental issues in social network research were broadly defined. These communities were limited to relatively small numbers of nodes (actors) and links. More recently the advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. People around the world are directly or indirectly connected by popular social networks established using web-based platforms rather than by physical proximity. 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.

Contents:

Applied Computational Geometry for Social Networks

Basics of Social Network Model Construction and Evolution

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

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 Interact.

Other Format:

Printed edition:

ISBN:

978-1-4614-6170-8

9781461461708

Access Restriction:

Restricted for use by site license.