The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Life on the Screen: Identity in the Age of the Internet
Life on the Screen: Identity in the Age of the Internet
The Journal of Machine Learning Research
State-of-the-art in privacy preserving data mining
ACM SIGMOD Record
Proceedings of the 13th international conference on World Wide Web
A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure and evolution of blogspace
Communications of the ACM - The Blogosphere
Collective entity resolution in relational data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Proceedings of the 16th international conference on World Wide Web
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Extracting Social Networks Among Various Entities on the Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
A brief survey on anonymization techniques for privacy preserving publishing of social network data
ACM SIGKDD Explorations Newsletter
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Imagined communities: awareness, information sharing, and privacy on the facebook
PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
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Entities interacting on the web establish their identity by creating virtual personas. These entities, or agents, can be human users or software-based. This research models identity using the Entity-Persona Model, 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 Entity-Persona Model are modeled by a vector space model of the text associated with the personas in the network, which allows 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, provided that multiple personas exhibit characteristic behavior. 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.