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Clustering on Dynamic Social Network Data
| Type of publication: | Inproceedings |
| Citation: | |
| Year: | 2012 |
| Pages: | 563-571 |
| Crossref: | kruse_synergies_2012: |
| DOI: | 10.1007/978-3-642-33042-1_60 |
| Abstract: | This paper presents a reference data set along with a labeling for graph clustering algorithms, especially for those handling dynamic graph data. We implemented a modi cation of Iterative Conductance Cutting and a spectral clustering. As base data set we used a ltered part of the Enron corpus. Di erent cluster measurements, as intra-cluster density, inter-cluster sparseness, and Q-Modularity were calculated on the results of the clustering to be able to compare results from other algorithms. |
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| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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