| 書目名稱 | Social Network Based Big Data Analysis and Applications |
| 編輯 | Mehmet Kaya,Jalal Kawash,Min-Yuh Day |
| 視頻video | http://file.papertrans.cn/870/869753/869753.mp4 |
| 概述 | Extracts and analyzes dynamic conversational networks about current television programs.Detects dynamic patterns for big data stream analytics.Explores the role of intrinsic nodal activation on the sp |
| 叢書名稱 | Lecture Notes in Social Networks |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2018 |
| 關鍵詞 | social network analysis and mining; influence analysis; pattern recognition; big data streams; community |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-78196-9 |
| isbn_softcover | 978-3-030-08639-8 |
| isbn_ebook | 978-3-319-78196-9Series ISSN 2190-5428 Series E-ISSN 2190-5436 |
| issn_series | 2190-5428 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
|Archiver|手機版|小黑屋|
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