Community detection in node-attributed social networks: a survey
P Chunaev - Computer Science Review, 2020 - Elsevier
Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …
Network embedding for community detection in attributed networks
Community detection aims to partition network nodes into a set of clusters, such that nodes
are more densely connected to each other within the same cluster than other clusters. For …
are more densely connected to each other within the same cluster than other clusters. For …
Variational deep clustering of wafer map patterns
J Hwang, H Kim - IEEE Transactions on Semiconductor …, 2020 - ieeexplore.ieee.org
In semiconductor manufacturing, several measurement data called wafer maps are obtained
in the metrology steps, and the variations in the process are detected by analyzing the wafer …
in the metrology steps, and the variations in the process are detected by analyzing the wafer …
Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches
Community detection is one of the most well-known and emerging research topics in the
area of social network analysis. There are a wide variety of approaches to find communities …
area of social network analysis. There are a wide variety of approaches to find communities …
Balancing topology structure and node attribute in evolutionary multi-objective community detection for attributed networks
The task of community detection in attributed networks is to find a good community partition
in terms of both topology structure and node attribute. Despite that a number of algorithms …
in terms of both topology structure and node attribute. Despite that a number of algorithms …
A novel intelligent Fuzzy-AHP based evolutionary algorithm for detecting communities in complex networks
The realm of complex network analysis is witnessing a surge in research focus on
community detection. Numerous algorithms have been put forth, each harboring distinct …
community detection. Numerous algorithms have been put forth, each harboring distinct …
Modeling and detecting communities in node attributed networks
As a fundamental structure in real-world networks, in addition to graph topology,
communities can also be reflected by abundant node attributes. In attributed community …
communities can also be reflected by abundant node attributes. In attributed community …
An Incremental Solution for Content-Structural Graph Clustering
Researchers have always been interested in graph nodes clustering based on content or
structure. But less attention has been paid to clustering based on both structure and content …
structure. But less attention has been paid to clustering based on both structure and content …
NotMle: community detection in an inference way
Learning the node-to-community partition of network (aka. community detection) lies at the
core of network analysis, which have proven to be successful for various tasks. How to …
core of network analysis, which have proven to be successful for various tasks. How to …
Clustering attributed multi-graphs
AN Papadopoulos - 2017 - gnosis.library.ucy.ac.cy
An attributed multigraph is a structure that efficiently represents real world networks. In an
attributed graph, a vertex represents an object. A vertex is characterized by some attributes …
attributed graph, a vertex represents an object. A vertex is characterized by some attributes …