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

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V. Batagelj: Analysis and visulization of large networks with Pajek 77 ✬ ✫ Islands – US patents As an example, let us look at Nber network of US Patents. It has 3774768 vertices and 16522438 arcs (1 loop). We computed SPC weights in it and determined all (2,90)-islands. The reduced network has 470137 vertices, 307472 arcs and for different k: C2 =187610, C5 =8859,C30 =101, C50 =30 islands. Rolex [1] 0 139793 29670 9288 3966 1827 997 578 362 250 [11] 190 125 104 71 47 37 36 33 21 23 [21] 17 16 8 7 13 10 10 5 5 5 [31] 12 3 7 3 3 3 2 6 6 2 [41] 1 3 4 1 5 2 1 1 1 1 [51] 2 3 3 2 0 0 0 0 0 1 [61] 0 0 0 0 1 0 0 2 0 0 [71] 0 0 1 1 0 0 0 1 0 0 [81] 2 0 0 0 0 1 2 0 0 7 Methodenforum der Fakultät für Sozialwissenschaften, Universität Wien, 21-22. 6. 2007 ▲ ❙ ▲ ▲ ● ❙ ▲ ▲ ☛ ✖ ▲ ✩ ✪
V. Batagelj: Analysis and visulization of large networks with Pajek 78 ✬ ✫ freq 1 100 10000 ● ● Island Theme size size distribution ● ● ● ● ● ● ● ● ● ● ● ● ●●● ●● ●● ● ● ●● ● ● ● ●●● ●● ● ● ●●●● ● ● ● ● ● ● ●● ● ● ● ● ● ● ● ● ●● ● 2 5 10 20 50 100 Methodenforum der Fakultät für Sozialwissenschaften, Universität Wien, 21-22. 6. 2007 ▲ ❙ ▲ ▲ size ● ❙ ▲ ▲ ☛ ✖ ▲ ✩ ✪
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'Advanced Network Analysis / Pajek: Large ... - Vladimir Batagelj

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