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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
ICCCN
2008
IEEE
14 years 3 months ago
Localized Bridging Centrality for Distributed Network Analysis
— Centrality is a concept often used in social network analysis to study different properties of networks that are modeled as graphs. We present a new centrality metric called Lo...
Soumendra Nanda, David Kotz
CHI
2007
ACM
14 years 9 months ago
Home networking and HCI: what hath god wrought?
For much of the industrialized world, network connectivity in the home is commonplace. Despite the large number of networked homes, even the most technically savvy people can have...
Erika Shehan, W. Keith Edwards
ATAL
2008
Springer
13 years 11 months ago
Structure in threes: modelling organization-oriented software architectures built upon multi-agent systems
Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented co...
Matthias Wester-Ebbinghaus, Daniel Moldt
CIE
2010
Springer
14 years 2 months ago
Spatial Models for Virtual Networks
This paper discusses the use of spatial graph models for the analysis of networks that do not have a direct spatial reality, such as web graphs, on-line social networks, or citatio...
Jeannette Janssen