This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services.
Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2016), which was held in August 2016.
The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.| ISBN: | 9783319781952 |
| Publication date: | 11th May 2018 |
| Author: | Mehmet Kaya, Jalal Kawash, Suheil Khoury, MinYuh Day |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 249 pages |
| Series: | Lecture Notes in Social Networks |
| Genres: |
Sociology Expert systems / knowledge-based systems Data mining Combinatorics and graph theory Databases |