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This link recently saved by cavorito on April 05, 2011
We describe a scalable implementation of label propagation algorithm, using map-reduce formalism for detecting communities in networks with 10-100 million nodes. Using a 55 node Hadoop cluster, we test our implementation on a Twitter network containing 40 million users and 1.4 billion edges. The algorithm is capable of finding meaningful communities in reasonable amount of time also we found it to be capable of finding communities in different iterations at various levels such as nationality, special interests, location, and organization.
This link recently saved by cavorito on November 18, 2010
SoNIA is a Java-based package for visualizing dynamic or longitudinal "network" data. It's possible to describe networks in which in addition to information about the relations (ties) between various entities (actors, nodes) there is also information about when these relations occur, or at least the relative order in which they occur.
This link recently saved by cavorito on October 25, 2010
This link recently saved by cavorito on July 10, 2010
This link recently saved by cavorito on January 22, 2010
The book is based on an inter-disciplinary course entitled Networks that we teach at Cornell. The book, like the course, is designed at the introductory undergraduate level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with optional advanced sections. The book will be published by Cambridge University Press in 2010. You can dowload a complete pre-publication draft of Networks, Crowds, and Markets here.