From Social Data Mining and Analysis to Prediction and Community Detection (Hardcover, 1st ed. 2017)


This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

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Product Description

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Social Networks

Release date

March 2017

Availability

Expected to ship within 10 - 15 working days

First published

2017

Editors

, ,

Dimensions

235 x 155 x 16mm (L x W x T)

Format

Hardcover

Pages

245

Edition

1st ed. 2017

ISBN-13

978-3-319-51366-9

Barcode

9783319513669

Categories

LSN

3-319-51366-4



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