Finding Social Groups: A Meta-Analysis of the Southern Women Data
By Linton C. Freeman. 2003
155 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a0c5607c3e866fb612619ba259a1e97c6c8b6a09
How researchers see this paper
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- Tianbao Yang
- Charu C. Aggarwal
- Rong Jin
- Shenghuo Zhu
- Chayant Tantipathananandh
- Yun Chi
- Yihong Gong
- Tanya Y. Berger-Wolf
Citations in the corpus
- Finding overlapping communities in networks by label propagation (2009, methodology): “Woman 16 is placed in both communities by another of the solutions in [39], as well as COPRA.”
- Detecting communities and their evolutions in dynamic social networks—a Bayesian approach (2011, background): “Table 2 The southern women data, from (Freeman 2003) . . . . . . . . . . . . . . . . . . . . .”
- Energy Models for Graph Clustering (2007, unknown): “Freeman [18] performed a meta-analysis of 21 earlier studies that assigned the women to groups.”
- A framework for analysis of dynamic social networks (2006, methodology): “Freeman [15] compares 21 different social network analysis techniques on this dataset.”
- Networks in Political Science: Back to the Future (2011, unknown): “…also received significant approach that has been developed to detect a variety of structural regularities in network data at the , triadic, and higher levels Beyond that, there have various efforts over the to detect cohesive sub-groups (Freeman 2003), with detection” (see Porter, , and Mucha 2009).”
- A framework for community identification in dynamic social networks (2007, methodology): “[12] L. Freeman.”