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Statistical Network Analysis: Models, Issues, and New...

Statistical Network Analysis: Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers

Aaron Clauset, Cristopher Moore, Mark E. J. Newman (auth.), Edoardo Airoldi, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng (eds.)
როგორ მოგეწონათ ეს წიგნი?
როგორი ხარისხისაა ეს ფაილი?
ჩატვირთეთ, ხარისხის შესაფასებლად
როგორი ხარისხისაა ჩატვირთული ფაილი?

This 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.

კატეგორია:
წელი:
2007
გამოცემა:
1
გამომცემლობა:
Springer-Verlag Berlin Heidelberg
ენა:
english
გვერდები:
200
ISBN 10:
3540731326
ISBN 13:
9783540731320
სერია:
Lecture Notes in Computer Science 4503
ფაილი:
PDF, 4.77 MB
IPFS:
CID , CID Blake2b
english, 2007
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