The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Fast discovery of connection subgraphs
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Strategies for the Diffusion of Innovations on Social Networks
Computational Economics
Bidirectional expansion for keyword search on graph databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Measuring and extracting proximity in networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Center-piece subgraphs: problem definition and fast solutions
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive Parallel Graph Mining for CMP Architectures
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
DiffusionRank: a possible penicillin for web spamming
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
GraphScope: parameter-free mining of large time-evolving graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for community identification in dynamic social networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
The community-search problem and how to plan a successful cocktail party
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Magnet community identification on social networks
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applications can typically be represented as evolving interaction graphs with nodes denoting entities and edges representing their interactions. The study of entities and communities and how they evolve in such large dynamic graphs is both important and challenging. While much of the past work in this area has focused on static analysis, more recently researchers have investigated dynamic analysis. In this paper, in a departure from recent efforts, we consider the problem of analyzing patterns and critical events that affect the dynamic graph from the viewpoint of a single node, or a selected subset of nodes. Defining and extracting a relevant viewpoint neighborhood efficiently, while also quantifying the key relationships among nodes involved are the key challenges we address. We also examine the evolution of viewpoint neighborhoods for different entities over time to identify key structural and behavioral transformations that occur.