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» Sampling Representative Users from Large Social Networks
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WWW
2007
ACM
14 years 8 months ago
Analysis of topological characteristics of huge online social networking services
Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life socia...
Yong-Yeol Ahn, Seungyeop Han, Haewoon Kwak, Sue B....
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
14 years 8 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
CCS
2010
ACM
13 years 7 months ago
Detecting and characterizing social spam campaigns
Online social networks (OSNs) are popular collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also effective...
Hongyu Gao, Jun Hu, Christo Wilson, Zhichun Li, Ya...
ICWSM
2010
13 years 9 months ago
Measuring User Influence in Twitter: The Million Follower Fallacy
Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links...
Meeyoung Cha, Hamed Haddadi, Fabrício Benev...
RECSYS
2009
ACM
14 years 2 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...