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SOCIALCOM
2010
13 years 8 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
HICSS
2009
IEEE
121views Biometrics» more  HICSS 2009»
14 years 5 months ago
People Sensemaking and Relationship Building on an Enterprise Social Network Site
This paper describes a social network site designed to support employees within an enterprise in connecting and learning about each other through personal and professional sharing...
Joan Morris DiMicco, Werner Geyer, David R. Millen...
CSE
2009
IEEE
14 years 5 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
CSCW
2006
ACM
14 years 4 months ago
A face(book) in the crowd: social Searching vs. social browsing
Large numbers of college students have become avid Facebook users in a short period of time. In this paper, we explore whether these students are using Facebook to find new people...
Cliff Lampe, Nicole Ellison, Charles Steinfield
PKAW
2010
13 years 8 months ago
Finding Relation between PageRank and Voter Model
Abstract. Estimating influence of a node is an important problem in social network analyses. We address this problem in a particular class of model for opinion propagation in whic...
Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, H...