scholar.google.com › citations
Qualitatively, a community is defined as a subset of nodes within the graph such that connections between the nodes are denser than connections with the rest of the network. The detection of the community structure in a network is generally intended as a procedure for mapping the network into a tree (Fig. 1).
People also ask
What is the community structure of a network?
Why do we need to detect community structure in networks?
What are the 4 elements of the community structure?
What determines the structure of communities?
We begin by describing some traditional methods of community detection, such as spectral bisection, the Kernighan–Lin algorithm and hierarchical clustering ...
Dec 16, 2019 · Here, we first focus on generative models of communities in complex networks and their role in developing strong foundation for community detection algorithms.
A network is said to have community structure if the nodes of the network can be easily grouped into (potentially overlapping) sets of nodes.
People also search for
Community structure methods normally assume that the network of interest divides naturally into subgroups and the experimenter's job is to find those groups.
This paper presents a new algorithm for identifying communities in complex networks. The algorithm was inspired by studies on the effect of structural holes in ...
In this paper, we present a new method to find community structure in networks. Our method is hierarchical algorithm based on Tabu Search metaheuristic.
Missing: Identification | Show results with:Identification
Oct 4, 2021 · We propose a set of indices for community structure validation of network partitions that are based on an hypothesis testing procedure.
This survey highlights the characteristics and challenges of the community detection problem in dynamic social networks, motivated by this evolution.
Jan 10, 2023 · The modularity index, Q, is a measure of the proportion of edges that occur within communities, relative to the expected proportion if all edges were placed ...
Missing: Identification | Show results with:Identification