Abstract
This paper explains the classical social network analysis and discusses how computer networks effect a shift in constructing social networks. The paper then concentrates on analyzing cognitive aspects of a social network, explaining a simple but scalable approach for modeling a socio-cognitive network. Novel measures using such a socio-cognitive network model are defined and applications of such measures to extract useful information is illustrated on the Enron email dataset. The paper then describes a Dempster-Schafer theory based approach towards modeling a cognitive knowledge network and uses the Enron email dataset to illustrate how the proposed model can be used to capture actors' perceptions in a knowledge network. The paper concludes with a summary of the proposed models and a discussion on new research directions that can arise due to such cognitive analyses of electronic communication data.
Original language | English (US) |
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Pages (from-to) | 87-120 |
Number of pages | 34 |
Journal | International Journal of Semantic Computing |
Volume | 1 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1 2007 |
Keywords
- Social network analysis
- knowledge networks
- knowledge representation
- socio-cognitive analysis