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Modeling Virtual Footprints


Entities interacting on the web establish their identity by creating virtual personas. This research models identity using the Entity-Persona Model which is a semantically annotated social network inferred from the persistent traces of interaction between personas on the web. A Persona Mapping Algorithm is proposed which compares the local views of personas in their social network referred to as their Virtual Signatures, for structural and semantic similarity. The semantics of the social network of the Entity-Persona Model is modeled by a vector space model of the text associated with the personas in the network, which allows efficient comparison of their Virtual Signatures. This enables all the publicly accessible personas of an entity to be identified on the scale of the web. This research enables an agent to identify a single entity using multiple personas on different networks. The agent is able to increase the trustworthiness of on-line interactions by establishing the identity of entities operating under multiple personas. Consequently, reputation measures based on on-line interactions with multiple personas can be aggregated and resolved to the true singular identity.
R. Kadaba, S Budalakoti, D. DeAngelis, and K. S. Barber. Modeling Virtual Footprints. In the Proceedings of The Workshop on Trust in Agent Societies at The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS- 2010); Toronto, Canada; May 10-14, 2010.
Dave DeAngelis,
Mar 22, 2010, 3:02 PM