Analisis Rangkaian
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Sorotan
Ketuaan Antara PusatBetweenness centrality, formalized by Linton C. Freeman in 1977, measures how often a node lies on the shortest path connecting every other pair of nodes in a network. High-betweenAnalisis Rangkaian BipartitBipartite network analysis, formalised by Borgatti and Everett in 1997, is a graph-structural method for studying networks in which nodes are divided into two disjoint sets — actorAnalisis SentralitiCentrality analysis is a family of network-analytic measures, formalized by Freeman (1979), that quantifies the structural importance of individual nodes within a graph. Each centrPusat Kesihatan KekerabatanCloseness centrality measures how quickly a node can reach all others in a network by computing the inverse of its average shortest-path distance to every other node. First describPengesanan KomunitiCommunity detection is a family of graph-partitioning algorithms that discover densely connected sub-groups — communities — within a network. First formalised through the modularitPusat DarjahDegree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by divi
Reading path
This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.
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Ketuaan Antara PusatAnalisis Rangkaian BipartitAnalisis SentralitiPusat Kesihatan KekerabatanPengesanan KomunitiPusat DarjahSentraliti Keserantaraan TerarahKeterpusatan Kedekatan TerarahPengesanan Komuniti TerarahAnalisis Jaringan Ego BerarahSentraliti Eigenvektor TerarahModel Graf Eksponensial Rawak TerarahAnalisis Graf Pengetahuan TerarahAnalisis Modulariti TerarahAnalisis Rangkaian Multiplex TerarahAnalisis Resapan Rangkaian BerarahPageRank TerarahAnalisis Jaringan Sosial BerarahAnalisis Jaringan Dua-Mod PengarahKekpusatan Kedekatan DinamikPengesanan Komuniti DinamikSentraliti Darjah DinamikAnalisis Rangkaian Ego DinamikSentraliti Eigenvektor DinamikModel Graf Rawak Eksponen DinamikAnalisis Moduliti DinamikPageRank DinamikModel Blok Rawak Stokastik DinamikAnalisis Rangkaian Dua-Mod DInamikAnalisis Rangkaian EgoPusat Teras EigenvectorModel Graf Rawak Eksponensial (ERGM / p*)Kernel GrafGraph Neural NetworkDekomposisi k-CoreAnalisis Graf PengetahuanPenyematan Graf PengetahuanRamalan PautanAnalisis ModularitiPusat Kesederhanaan Pelbagai LapisanPusat Kedekatan Pelbagai LapisanDeteksi Komunitas BerlapisPusat Darjah Pelbagai LapisanAnalisis Graf Pengetahuan BerlapisAnalisis Rangkaian BerlapisAnalisis Penyebaran Rangkaian BerlapisPageRank Berbilang LapisanAnalisis Rangkaian Sosial BerlapisModel Blok Rawak BerlapisAnalisis Rangkaian Temporal BerlapisAnalisis Jaringan Dua-Mod Dwi-LapisanAnalisis Rangkaian Berbilang LapisanAnalisis Penyebaran RangkaianPenyematan JaringanAnalisis Motif JaringanAnalisis Ketahanan dan Kerentanan JaringanPusat Kebangkitan Halaman (PageRank Centrality)Analisis Rangkaian SosialStochastic Block ModelKemeradulan Rentasan MasaSentraliti Kehampiran TemporalPengesanan Komuniti TemporalPusat Darjah TemporalSentraliti Eigenvektor TemporalAnalisis Graf Pengetahuan TemporalAnalisis Modulariti TemporalAnalisis Rangkaian Multiplex TemporalAnalisis Rangkaian TemporalAnalisis Penyebaran Rangkaian TemporalPageRank TemporalAnalisis Jaringan Sosial TemporalModel Blok Stokastik TemporalAnalisis Rangkaian Dua-Mod Dwi-MasaAnalisis Rangkaian Dua-ModSentraliti Kebersihan BerbobotPusat Kedekatan BerbobotPengesanan Komuniti BerpemberatPusat Darjah BerwajaranAnalisis Jaringan Ego BerbobotPusat Eigenvector BerbobotModel Graf Rawak Eksponensial BerbobotAnalisis Graf Pengetahuan BerbobotAnalisis Modularitas BerbobotAnalisis Rangkaian Berbilang Lapisan BerpemberatAnalisis Penyebaran Rangkaian BerbobotWeighted PageRankAnalisis Jaringan Sosial BerbobotModel Blok Stokastik BerbobotAnalisis Rangkaian Temporal BerbobotAnalisis Rangkaian Dua-Mod Diberat