'Advanced Network Analysis / Pajek: Large ... - Vladimir Batagelj

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V. Batagelj: Analysis and visulization of large networks with Pajek 11 ✬ ✫ Approaches to large networks In analysis of a large network (several thousands or millions of vertices, the network can be stored in computer memory) we can’t display it in its totality; also there are only few algorithms available. To analyze a large network we can use statistical approach or we can use the described decomposition approach – identify smaller (sub) networks that can be analyzed further using more sophisticated methods. Methodenforum der Fakultät für Sozialwissenschaften, Universität Wien, 21-22. 6. 2007 ▲ ❙ ▲ ▲ ● ❙ ▲ ▲ ☛ ✖ ▲ ✩ ✪
V. Batagelj: Analysis and visulization of large networks with Pajek 12 ✬ Input data • numeric → vector • ordinal → permutation ✫ Statistics • nominal → clustering (partition) Computed properties global: number of vertices, edges/arcs, components; maximum core number, . . . local: degrees, cores, indices (betweeness, hubs, authorities, . . . ) inspections: partition, vector, values of lines, . . . Associations between computed (structural) data and input (measured) data. Methodenforum der Fakultät für Sozialwissenschaften, Universität Wien, 21-22. 6. 2007 ▲ ❙ ▲ ▲ ● ❙ ▲ ▲ ☛ ✖ ▲ ✩ ✪
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'Advanced Network Analysis / Pajek: Large ... - Vladimir Batagelj

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