Analysis of Social Group Dynamics
arXiv:1708.02000
Abstract
In this thesis the method for social group evolution discovery, called GED, is analyzed. Especially, GED method is compared with other methods tracking changes in groups over time with focus on accuracy, computational cost, ease of implementation and flexibility of the methods. The methods are evaluated on overlapping and disjoint social groups. Finally, GED method is run with different user importance measures.
arXiv commentMy MSc thesis defended in June 2011. Please cite as: Saganowski S. Analysis of Social Group Dynamics, MSc thesis 2011
References in corpus (19)
- Fast unfolding of communities in large networks
- Community structure in social and biological networks
- Finding and evaluating community structure in networks
- Community detection in graphs
- Finding community structure in very large networks
- Uncovering the overlapping community structure of complex networks in nature and society
- Maps of random walks on complex networks reveal community structure
- The structure of scientific collaboration networks
- Classes of behavior of small-world networks
- Defining and identifying communities in networks
- Community detection algorithms: a comparative analysis
- Detecting the overlapping and hierarchical community structure of complex networks
- Quantifying social group evolution
- CFinder: Locating cliques and overlapping modules in biological networks
- An information-theoretic framework for resolving community structure in complex networks
- Clique percolation in random networks
- Mixture models and exploratory analysis in networks
- Local resolution-limit-free Potts model for community detection
- Email as Spectroscopy: Automated Discovery of Community Structure within Organizations