169 citations · 614 across the 29 of their papers we have counts for
9 papers · 1 filter
Crowds on Wall Street: Extracting Value from Social Investing Platforms
Gang Wang, Tianyi Wang, Bolun Wang +4
For decades, the world of financial advisors has been dominated by large investment banks such as Goldman Sachs. In recent years, user-contributed investment services such as Seeki…
Shortest Paths in Less Than a Millisecond
Rachit Agarwal, Matthew Caesar, P. Brighten Godfrey +1
We consider the problem of answering point-to-point shortest path queries on massive social networks. The goal is to answer queries within tens of milliseconds while minimizing the…
Multi-scale Dynamics in a Massive Online Social Network
Xiaohan Zhao, Alessandra Sala, Christo Wilson +4
Data confidentiality policies at major social network providers have severely limited researchers' access to large-scale datasets. The biggest impact has been on the study of netwo…
Social Turing Tests: Crowdsourcing Sybil Detection
Gang Wang, Manish Mohanlal, Christo Wilson +4
As popular tools for spreading spam and malware, Sybils (or fake accounts) pose a serious threat to online communities such as Online Social Networks (OSNs). Today, sophisticated a…
On the Bursty Evolution of Online Social Networks
Sabrina Gaito, Matteo Zignani, Gian Paolo Rossi +4
The high level of dynamics in today's online social networks (OSNs) creates new challenges for their infrastructures and providers. In particular, dynamics involving edge creation…
Serf and Turf: Crowdturfing for Fun and Profit
Gang Wang, Christo Wilson, Xiaohan Zhao +4
Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses using crowd-sourcing systems. However, crowd-sourc…
Fast and Scalable Analysis of Massive Social Graphs
Xiaohan Zhao, Alessandra Sala, Haitao Zheng +1
Graph analysis is a critical component of applications such as online social networks, protein interactions in biological networks, and Internet traffic analysis. The arrival of ma…
Revisiting Degree Distribution Models for Social Graph Analysis
Alessandra Sala, Sabrina Gaito, Gian Paolo Rossi +2
Degree distribution models are incredibly important tools for analyzing and understanding the structure and formation of social networks, and can help guide the design of efficient…
Uncovering Social Network Sybils in the Wild
Zhi Yang, Christo Wilson, Xiao Wang +3
Sybil accounts are fake identities created to unfairly increase the power or resources of a single malicious user. Researchers have long known about the existence of Sybil accounts…