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_223
245 1 0 _aStatistical Network Analysis: Models, Issues, and New Directions
_h[electronic resource] :
_bICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers /
_cedited by Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aVIII, 200 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aComputer Communication Networks and Telecommunications,
_x2945-9184 ;
_v4503
505 0 _aInvited Presentations -- Structural Inference of Hierarchies in Networks -- Heider vs Simmel: Emergent Features in Dynamic Structures -- Joint Group and Topic Discovery from Relations and Text -- Statistical Models for Networks: A Brief Review of Some Recent Research -- Other Presentations -- Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis -- Exploratory Study of a New Model for Evolving Networks -- A Latent Space Model for Rank Data -- A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering -- Discrete Temporal Models of Social Networks -- Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time -- Discovering Functional Communities in Dynamical Networks -- Empirical Analysis of a Dynamic Social Network Built from PGP Keyrings -- Extended Abstracts -- A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring -- Age and Geographic Inferences of the LiveJournal Social Network -- Inferring Organizational Titles in Online Communication -- Learning Approximate MRFs from Large Transactional Data -- Panel Discussion -- Panel Discussion.
520 _aThis volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to this domain cons- erably later, but they enriched the array of models and approaches and began to tackle much larger networks and more complex forms of data. Our goal in organ- ing the workshop was to encourage a dialog among people coming from di?erent disciplinary perspectives and with di?erent methods, models, and tools. Both the workshop and the editing of the proceedings was a truly colla- rative e?ort on behalf of all six editors, but three in particular deserve special recognition. Anna Goldenberg and Alice Zheng were the driving force behind the entire enterprise and Edo Airoldi assisted on a number of the more important arrangements.
650 0 _aComputer networks .
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 0 _aApplication software.
650 0 _aInformation storage and retrieval systems.
650 0 _aAlgorithms.
650 1 4 _aComputer Communication Networks.
650 2 4 _aProbability and Statistics in Computer Science.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aAlgorithms.
700 1 _aAiroldi, Edoardo M.
_eeditor.
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700 1 _aBlei, David M.
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700 1 _aFienberg, Stephen E.
_eeditor.
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700 1 _aGoldenberg, Anna.
_eeditor.
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700 1 _aXing, Eric P.
_eeditor.
_4edt
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700 1 _aZheng, Alice X.
_eeditor.
_4edt
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540731320
776 0 8 _iPrinted edition:
_z9783540848332
830 0 _aComputer Communication Networks and Telecommunications,
_x2945-9184 ;
_v4503
856 4 0 _uhttps://doi.org/10.1007/978-3-540-73133-7
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