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dc.contributor.editorÖzyer, Tansel
dc.contributor.editor Alhajj, Reda
dc.date.accessioned2020-01-28T12:18:08Z
dc.date.available2020-01-28T12:18:08Z
dc.date.issued2018
dc.identifier.citationÖzyer, T., and Alhajj, R. (Eds.). (2018). Machine Learning Techniques for Online Social Networks. Springer.en_US
dc.identifier.isbn978-3-319-89932-9
dc.identifier.isbn978-3-319-89931-2
dc.identifier.urihttps://www.springer.com/gp/book/9783319899312
dc.identifier.urihttp://hdl.handle.net/20.500.11851/3303
dc.descriptionThe 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. en_US
dc.description.tableofcontents[Pages 1-22] Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity [Pages 23-43] -Hyperbolicity and the Core-Periphery Structure in Graphs [Pages 45-64] A Framework for OSN Performance Evaluation Studies [Pages 65-84] On the Problem of Multi-Staged Impression Allocation in Online Social Networks [Pages 85-113] Order-of-Magnitude Popularity Estimation of Pirated Content [Pages 115-133] Learning What to Share in Online Social Networks Using Deep Reinforcement Learning [Pages 135-154] Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability [Pages 155-172] Ameliorating Search Results Recommendation System Based on K-Means Clustering Algorithm and Distance Measurements [Pages 173-193] Dynamics of Large-Scale Networks Following a Merger [Pages 195-218] Cloud Assisted Personal Online Social Network [Pages 219-236] Text-Based Analysis of Emotion by Considering Tweetsen_US
dc.language.isoengen_US
dc.publisherSpringer International Publishingen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer scienceen_US
dc.subjectartificial intelligenceen_US
dc.subjectinformation systemsen_US
dc.subjectinterdisciplinary applicationsen_US
dc.titleMachine Learning Techniques for Online Social Networksen_US
dc.typebooken_US
dc.contributor.departmentTOBB ETU, Faculty of Engineering, Department of Computer Engineeringen_US
dc.contributor.departmentTOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage1
dc.identifier.endpage236
dc.identifier.wosWOS:000444506000013
dc.contributor.tobbetuauthorÖzyer, Tansel
dc.contributor.YOKid143116
dc.identifier.doi10.1007/978-3-319-89932-9
dc.relation.publicationcategoryKitap - Uluslararasıtr_TR


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