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From Social Data Mining and Analysis to Prediction and Community Detection /

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. The book collects chapters that are expanded versions...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Kaya, Mehmet; Erdo an, zcan; Rokne, Jon
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Social Networks,
Subjects:
Computer science
Data mining
Artificial intelligence
Data Mining and Knowledge Discovery
Artificial Intelligence incl. Robotics
Applications of Graph Theory and Complex Networks
Online Access: http://dx.doi.org/10.1007/978-3-319-51367-6
Summary: 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. 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
Carrier Form: 1 online resource (X, 245 pages) : illustrations.
ISBN: 9783319513676
Index Number: QA76
CLC: TP311.13
Contents: Chapter1. An Offline-Online Visual Framework for Clustering Memes in Social Media -- Chapter2. A System for Email Recipient Prediction -- Chapter3. A Credibility Assessment Model for Online Social Network Content -- Chapter4. Web Search Engine based Representation for Arabic Tweets Categorization -- Chapter5. Sentiment Trends and Classifying Stocks using P-Trees -- Chapter6. Mining Community Structure with Node Embeddings -- Chapter7. A LexDFS-based Approach on finding compact communities -- Chapter8. Computational Data Sciences and Regulation of Banking and Financial Services -- Chapter9. F

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