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Examining Clandestine Social Networks For The Presence Of Non-Random Structure, Joshua S. Seder
Examining Clandestine Social Networks For The Presence Of Non-Random Structure, Joshua S. Seder
Theses and Dissertations
This thesis develops a tractable, statistically sound hypothesis testing framework for the detection, characterization, and estimation of non-random structure in clandestine social networks. Network structure is studied via an observed adjacency matrix, which is assumed to be subject to sampling variability. The vertex set of the network is partitioned into k mutually exclusive and collectively exhaustive subsets, based on available exogenous nodal attribute information. The proposed hypothesis testing framework is employed to statistically quantify a given partition's relativity in explaining the variability in the observed adjacency matrix relative to what can be explained by chance. As a result, valuable insight …
A Graph Theoretic Analysis Of The Effects Of Organizational Structure On Employee Social Networks, John R. Hutzel
A Graph Theoretic Analysis Of The Effects Of Organizational Structure On Employee Social Networks, John R. Hutzel
Theses and Dissertations
A simulation technique was used to investigate the impacts of organizational structure on an organization's social network. By simulating personnel in an organization as vertices in a graph and the aging of the corporation as the aging of the same graph, the maturation of an organization was realized. The characteristic path length of the graph was measured after each year returning an optimistic average organizational distance. Results include the finding that, per this model, an organization's characteristic path length can drop over 50% in a 20 year period with consideration of edges of all strengths. Next a series of random …