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PERCOM
2010
ACM
13 years 10 months ago
Social-K: Real-time K-anonymity guarantees for social network applications
—Traditional approaches to K-anonymity provide privacy guarantees over publicly released data sets with specified quasi-identifiers. However, the most common public releases of...
Aaron Beach, Mike Gartrell, Richard Han
ISI
2010
Springer
13 years 10 months ago
Measuring behavioral trust in social networks
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 10 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
IFIPTM
2010
117views Management» more  IFIPTM 2010»
13 years 10 months ago
Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces
Abstract. In this paper, we examine a trust-based framework for promoting honesty in e-marketplaces that relies on buyers forming social networks to share reputation ratings of sel...
Jie Zhang, Robin Cohen, Kate Larson
IEEEHPCS
2010
13 years 10 months ago
An experimental study of greedy routing algorithms
The “small world” phenomenon, i.e., the fact that the global social network is strongly connected in the sense that every two persons are inter-related through a small chain o...
Stavros Athanassopoulos, Christos Kaklamanis, Ilia...

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Fernando ModestoPostdoctoral
Universidade de São Paulo
Fernando Modesto
Graduation (1980) and Masters (1989) Library and Documentation from the Catholic University of Campinas, São Paulo, Brazil. PhD in Communication Sciences from the University of S...
ASUNAM
2010
IEEE
13 years 10 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
ASUNAM
2010
IEEE
13 years 10 months ago
Subjective Document Classification Using Network Analysis
Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee
ASUNAM
2010
IEEE
13 years 10 months ago
Mining Interaction Behaviors for Email Reply Order Prediction
—In email networks, user behaviors affect the way emails are sent and replied. While knowing these user behaviors can help to create more intelligent email services, there has no...
Byung-Won On, Ee-Peng Lim, Jing Jiang, Amruta Pura...
NETWORK
2008
233views more  NETWORK 2008»
13 years 11 months ago
WhozThat? evolving an ecosystem for context-aware mobile social networks
One of the most compelling social questions, which until now was left unanswered by current technology, is "Who's that?" This question is usually asked about a new ...
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack E...