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Xiao Wang

Researcher at University of Washington

Publications -  11
Citations -  819

Xiao Wang is an academic researcher from University of Washington. The author has contributed to research in topics: Network dynamics & Social network. The author has an hindex of 8, co-authored 11 publications receiving 774 citations. Previous affiliations of Xiao Wang include Tsinghua University & Peking University.

Papers
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Proceedings Article

You are how you click: clickstream analysis for Sybil detection

Gang Wang, +5 more
TL;DR: A detection approach that groups "similar" user clickstreams into behavioral clusters, by partitioning a similarity graph that captures distances between clickstream sequences, and shows that it provides very high detection accuracy on clickstream traces.
Proceedings Article

Social Turing Tests: Crowdsourcing Sybil Detection

Gang Wang, +6 more
TL;DR: In this article, the authors explore the feasibility of a crowdsourced Sybil detection system for Online Social Networks (OSNs) and conduct a large user study on the ability of humans to detect today's Sybil accounts, using a large corpus of ground-truth sybil accounts from the Facebook and Renren networks.
Posted Content

Social Turing Tests: Crowdsourcing Sybil Detection

Gang Wang, +6 more
- 17 May 2012 - 
TL;DR: A large user study on the ability of humans to detect today's Sybil accounts is conducted, using a large corpus of ground-truth Sybils from the Facebook and Renren networks and finds that while turkers vary significantly in their effectiveness, experts consistently produce near-optimal results.
Journal ArticleDOI

Phoenix: A Weight-Based Network Coordinate System Using Matrix Factorization

Yang Chen, +6 more
- 29 Nov 2011 - 
TL;DR: This paper proposes an NC system, so-called Phoenix, which is based on the matrix factorization model, and shows that Phoenix achieves a scalable yet accurate end-to-end distances monitoring and is able to characterize TIV better than other existing NC systems.
Posted Content

Multi-scale Dynamics in a Massive Online Social Network

Xiaohan Zhao, +6 more
- 17 May 2012 - 
TL;DR: In this paper, the authors present results of analyzing detailed dynamics in the Renren social network, covering a period of 2 years when the network grew from 1 user to 19 million users and 199 million edges.