Statistical Network Analysis - Models, Issues, and New Directions

This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions held in Pittsburgh, PA, USA in June 2006 as associated event of the 23rd International Conference on Machine Learning, ICML 2006. It covers probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference.

ISBN	3540731326	Pages	205
ISBN13	9783540731320 (What's this?)	Volumes	1
Publisher	Springer-Verlag Berlin and Heidelberg GmbH & Co. KG	Published in	Berlin
Imprint	Springer-Verlag Berlin and Heidelberg GmbH & Co. K	Series ISSN	4503
Format	Paperback	Series title	Lecture Notes in Computer Science
Publication date	20 Jul 2007	Height (mm)	235
Library of Congress	2007931600	Width (mm)	155
DEWEY	519.5	Academic level	Postgraduate, Professional / Scholarly
DEWEY edition	DC22

		Structural Inference of Hierarchies in Networks by Aaron Clauset and Cristopher Moore and Mark E. J. Newman		1
		Heider vs Simmel: Emergent Features in Dynamic Structures by David Krackhardt and Mark S. Handcock		14
		Joint Group and Topic Discovery from Relations and Text by Andrew McCallum and Xuerui Wang and Natasha Mohanty		28
		Statistical Models for Networks: A Brief Review of Some Recent Research by Stanley Wasserman and Garry Robins and Douglas Steinley		45
		Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis by Edoardo M. Airoldi and David M. Blei and Stephen E. Fienberg and Eric P. Xing		57
		Exploratory Study of a New Model for Evolving Networks by Anna Goldenberg and Alice Zheng		75
		A Latent Space Model for Rank Data by Isobel Claire Gormley and Thomas Brendan Murphy		90
		A Simple Model for Complex Networks with Arbitrary Degree Distribution and Clustering by Mark S. Handcock and Martina Morris		103
		Discrete Temporal Models of Social Networks by Steve Hanneke and Eric P. Xing		115
		Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time by Purnamrita Sarkar and Sajid M. Siddiqi and Geoffrey J. Gordon		126
		Discovering Functional Communities in Dynamical Networks by Cosma Rohilla Shalizi and Marcelo F. Camperi and Kristina Lisa Klinkner		140
		Empirical Analysis of a Dynamic Social Network Built from PGP Keyrings by Robert H. Warren and Dana Wilkinson and Mike Warnecke		158
		A Brief Survey of Machine Learning Methods for Classification in Networked Data and an Application to Suspicion Scoring by Sofus Attila Macskassy and Foster Provost		172
		Age and Geographic Inferences of the LiveJournal Social Network by Ian MacKinnon and Robert H. Warren		176
		Inferring Organizational Titles in Online Communication by Galileo Mark S. Namata, Jr. and List Getoor and Christopher P. Diehl		179
		Learning Approximate MRFs from Large Transactional Data by Chao Wang and Srinivasan Parthasarathy		182

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Statistical Network Analysis - Models, Issues, and New Directions

ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA,

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