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» A Critical Review of Centrality Measures in Social Networks
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 7 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
BMCBI
2008
152views more  BMCBI 2008»
13 years 7 months ago
Predicting biological system objectives de novo from internal state measurements
Background: Optimization theory has been applied to complex biological systems to interrogate network properties and develop and refine metabolic engineering strategies. For examp...
Erwin P. Gianchandani, Matthew A. Oberhardt, Antho...
ISI
2008
Springer
13 years 7 months ago
Detecting Hidden Hierarchy in Terrorist Networks: Some Case Studies
This paper provides a novel algorithm to automatically detect the hidden hierarchy in terrorist networks. The algorithm is based on centrality measures used in social network analy...
Nasrullah Memon, Henrik Legind Larsen, David L. Hi...
WWW
2010
ACM
14 years 2 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
ICSE
2010
IEEE-ACM
14 years 8 days ago
StakeNet: using social networks to analyse the stakeholders of large-scale software projects
Many software projects fail because they overlook stakeholders or involve the wrong representatives of significant groups. Unfortunately, existing methods in stakeholder analysis...
Soo Ling Lim, Daniele Quercia, Anthony Finkelstein