Apr 26, 2023 · We propose a novel approach in which the distance between vertices is defined using hitting time, and modularity is computed based on the ...
We propose a novel approach in which the distance between vertices is defined using hitting time, and modularity is computed based on the stationary ...
In this paper, we take a close look at the random walk process on both directed and undirected graphs based on hitting time values and stationary distribution.
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We propose a new approach, in which the distance between vertices is defined by hitting time, and the modularity is computed based on the stationary ...
Mar 12, 2024 · Duong, Community detection in directed graphs using stationary distribution and hitting times methods, Social Network Analysis and Mining ...
Aug 6, 2013 · Fortunato, Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities, Phys. Rev. E ...
We introduce a metric on the state space of any ergodic, finite-state, time-homogeneous Markov chain and, in particular, on any Markov chain derived from a ...
Community detection in graphs is the problem of finding groups of vertices which are more densely connected than they are to the rest of the graph, ...
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and ...
Jun 1, 2023 · Duong, Community detection in directed graphs using stationary distribution and hitting times methods, Social Network Analysis and Mining.