Machine learning techniques for online social networks / Tansel Özyer, Reda Alhajj, editors.
Özyer, Tansel, editor.; Alhajj, Reda, editor.
2018
HM742
Available Online

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Title Machine learning techniques for online social networks / Tansel Özyer, Reda Alhajj, editors.
ISBN 9783319899329 (electronic book)
3319899325 (electronic book)
3319899317
9783319899312
DOI https://doi.org/10.1007/978-3-319-89932-9
Imprint Cham, Switzerland : Springer, [2018]
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-3-319-89932-9 doi
Call Number HM742
Dewey Decimal Classification 302.23/1
Summary The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (viewed June 13, 2018).
Added Author Özyer, Tansel, editor.
Alhajj, Reda, editor.
Series Lecture notes in social networks.
Available in Other Form Print version: 9783319899312
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Record Appears in Online Resources > Ebooks
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Chapter1. Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity
Chapter2. Delta-Hyperbolicity and the Core-Periphery Structure in Graphs
Chapter3. A Framework for OSN Performance Evaluation Studies
Chapter4. On The Problem of Multi-Staged Impression Allocation in Online Social Networks
Chapter5. Order-of-Magnitude Popularity Estimation of Pirated Content
Chapter6. Learning What to Share in Online Social Networks using Deep Reinforcement Learning
Chapter7. Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness and Reliability
Chapter8. Ameliorating Search Results Recommendation System based on K-means Clustering Algorithm and Distance Measurements
Chapter9. Dynamics of large scale networks following a merger
Chapter10. Cloud Assisted Personal Online Social Network
Chapter11. Text-Based Analysis of Emotion by Considering Tweets.

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