Encyclopedia of social network analysis and mining / Reda Alhajj, Jon Rokne, editors.
| Other author | Alhajj, Reda. |
| Other author | Rokne, J. (Jon), 1941- |
| Format | Electronic |
| Publication Info | New York : Springer, [2014] |
| Description | 3 volumes (xlii, 2435 pages) : illustrations (chiefly color) ; 26 cm |
| Supplemental Content | Full text available from Springer Books |
| Supplemental Content | Full text available from Springer Nature - Springer Computer Science eBooks 2014 English International |
| Subjects |
| Portion of title | Social network analysis and mining |
| Series | Springer Reference Springer reference. |
| Contents | Volume 1. A-L -- volume 2. M-R -- volume 3. S-Z [i.e. S-Y]. |
| Abstract | 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 facade 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. |
| General note | Copyright held by Springer Science+Business Media. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | Ebook version: 9781461461708 |
| Genre/form | Electronic books. |
| LCCN | 2014948088 |
| ISBN | 9781461461692 (3 vol. set ; hardback ; alk. paper) |
| ISBN | 1461461693 (3 vol. set ; hardback ; alk. paper) |
| ISBN | 9781461461715 (print and electrionic bundle) |
| ISBN | 1461461715 (print and electrionic bundle) |
| ISBN | (eBook) |
| ISBN | (eBook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |