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- articleAugust 2015
The Paradox of Corrupt Networks: An Analysis of Organizational Crime at Enron
Organization Science (INFORMS-ORGS), Volume 26, Issue 4Pages 980–996https://doi.org/10.1287/orsc.2015.0983Despite the prevalence of organizational crime and renewed academic interest in corruption, the coordination of corrupt activities remains undertheorized. This study uses longitudinal data based on the email communication from Enron Corporation prior to ...
- technical-noteJuly 2014
Modeling the information propagation in an email communication network using an agent-based approach
GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary ComputationPages 1007–1014https://doi.org/10.1145/2598394.2610013Development of Internet technology has made the use of email to be one of the predominant means of communication in the information society. Information exchange among people via email service has produced lots of communication data, which have been ...
- demonstrationApril 2012
T@gz: intuitive and effortless categorization and sharing of email conversations
WWW '12 Companion: Proceedings of the 21st International Conference on World Wide WebPages 365–368https://doi.org/10.1145/2187980.2188050In this paper, we describe T@gz, a system designed for effortless and instantaneous sharing of enterprise knowledge through routine email communications and powerful harvesting of such enterprise information using text analytics techniques. T@gz is a ...
- articleSeptember 2010
Robustness of dynamic social networks
The cyclic entropy of a real virtual friendship network provides an insight on the degree of its robustness. Cyclic entropy depends on counting the number of cycles of different sizes in the network, in which a probability distribution function is ...
- research-articleDecember 2009
Analysis of dynamic social network: e-mail messages exchange network
iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & ServicesPages 41–48https://doi.org/10.1145/1806338.1806355Counting entropy of social networks is used to study the dynamic of such networks. It depends on counting the number of cycles in the network, which is an NP problem. In this work we used a polynomial time approximation algorithm to count the number of ...
