000			03450nam a22002057a 4500
999			_c1044 _d1044
005			20210218144750.0
008			210218b ||||| |||| 00| 0 eng d
020			_a9781489988935
082			_a006.754 _bCha
100			_aCharu C Aggarwal
245			_aSocial network data analytics _c Aggarwal Charu C
260			_aNew York : _bSpringer, _c©2011.
300			_a502 pages
505			_tAn introduction to social network data analytics / Charu C. Aggarwal -- _tStatistical properties of social networks / Mary McGlohon, Leman Akoglu and Christos Faloutsos -- _tRandom walks in social networks and their application : a survey / Purnamrita Sarkar and Andrew W. Moore -- _tCommunity discovery in social networks : applications, methods and emerging trends / S. Parthasarathy, Y. Ruan and V. Satuluri -- _tNode classification in social networks / Miriti Bhagat, Graham Cormode and S. Muthukrishnan -- _tEvolution in social networks : a survey / Myra Spiliopoulou -- _tA survey of models and algorithms for social influence analysis / Jimeng Sun and Jie Tang -- _tA survey of algorithms and systems for expert location in social networks / Theodoros Lappas, Kun Liu and Evimaria Terzi -- _tA survey of link prediction in social networks / Mohammad Al Hasan and Mohammed J. Zaki -- _tPrivacy in social networks : a survey / Elena Zheleva and Lise Getoor -- _tVisualizing social networks / Carlos D. Correa and Kwan-Liu Ma -- _tData mining and social media / Geoffrey Barbier and Huan Liu -- _tText mining in social networks / Charu C. Aggarwal and Haixun Wang -- _tIntegrating sensors and social networks / Charu C. Aggarwal and Tarek Abdelzaher -- _tMultimedia information networks in social media / Liangliang Cao [and others] -- _tAn overview of social tagging and applications / Manish Gupta [and others].
520			_a Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science
650			_a Online social networks.
650			_aData mining.
650			_aCOMPUTERS -- Web -- Social Networking.
942			_2ddc _cBK