67 search results - page 3 / 14 » Finding Strongly Knit Clusters in Social Networks |
CHI
2003
ACM
14 years 5 months ago
2003
ACM
Studies of information seeking and workplace collaboration often find that social relationships are a strong factor in determining who collaborates with whom. Social networks prov...
DIGITALCITIES
2001
Springer
13 years 9 months ago
2001
Springer
Much thinking about digital cities is in terms of community groups. Yet, the world is composed of social networks and not of groups. This paper traces how communities have changed ...
ICWSM
2010
2010
Who Acquires Friends Through Social Media and Why? "Rich Get Richer" Versus "Seek and Ye Shall Find"
13 years 6 months ago
There is an ongoing debate, not just among academics but in popular culture, about whether social media can expand people's social networks, and whether online friends can be...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents an analysis of the correlation of annotated information unit (textual) tags and geographical identification metadata geotags. Despite the increased usage of ge...
SOCIALCOM
2010
13 years 3 months ago
2010
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...