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020 _a9781441984623
_9978-1-4419-8462-3
024 7 _a10.1007/978-1-4419-8462-3
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM032000
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072 7 _aUX
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082 0 4 _a005.3
_223
245 1 0 _aSocial Network Data Analytics
_h[electronic resource] /
_cedited by Charu C. Aggarwal.
250 _a1st ed. 2011.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Springer,
_c2011.
300 _aXIV, 502 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAn Introduction to Social Network Data Analytics -- Statistical Properties of Social Networks -- RandomWalks in Social Networks and their Applications: A Survey -- Community Discovery in Social Networks: Applications, Methods and Emerging Trends -- Node Classification in Social Networks -- Evolution in Social Networks: A Survey -- A Survey of Models and Algorithms for Social Influence Analysis -- A Survey of Algorithms and Systems for Expert Location in Social Networks -- A Survey of Link Prediction in Social Networks -- Privacy in Social Networks: A Survey -- Visualizing Social Networks -- Data Mining in Social Media -- Text Mining in Social Networks -- Integrating Sensors and Social Networks -- Multimedia Information Networks in Social Media -- An Overview of Social Tagging and Applications.
520 _aSocial 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 0 _aApplication software.
_931811
650 0 _aDatabase management.
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650 0 _aElectronic data processing—Management.
_931699
650 0 _aComputer engineering.
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650 0 _aComputer networks .
_931572
650 0 _aSocial sciences—Data processing.
_931812
650 1 4 _aComputer and Information Systems Applications.
_931813
650 2 4 _aDatabase Management.
_93157
650 2 4 _aIT Operations.
_931703
650 2 4 _aComputer Engineering and Networks.
_931814
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
700 1 _aAggarwal, Charu C.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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856 4 0 _uhttps://doi.org/10.1007/978-1-4419-8462-3
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