Results 41 to 50 of about 9,790,052 (309)

Estimating Mixed Memberships in Directed Networks by Spectral Clustering

Entropy, 2023
Community detection is an important and powerful way to understand the latent structure of complex networks in social network analysis. This paper considers the problem of estimating community memberships of nodes in a directed network, where a node may ...
Huan Qing
doaj   +1 more source

Community Detection for Correlation Matrices [PDF]

Physical Review X, 2015
Final version, accepted for publication on ...
MacMahon, M., Garlaschelli, D.
openaire   +5 more sources

Power Grid Partitioning Based on Functional Community Structure

IEEE Access, 2019
Network partitioning is a popular research topic. Not all available partitioning methods are equally suitable for power grids. Community detection is a critical issue in complex network theory, and power grid is a typical type of complex network.
Chuanzhi Zhao, Jintang Zhao, Chunchao Wu, Xiaoliang Wang, Fei Xue, Shaofeng Lu   +5 more
doaj   +1 more source

Directed Community Detection With Network Embedding

Journal of the American Statistical Association, 2021
Community detection in network data aims at grouping similar nodes sharing certain characteristics together. Most existing methods focus on detecting communities in undirected networks, where similarity between nodes is measured by their node features ...
Jingnan Zhang, Xin He, Junhui Wang
semanticscholar   +1 more source

A linear time series analysis of carbon price via a complex network approach

Frontiers in Physics, 2022
Identifying the essential characteristics and forecasting carbon prices is significant in promoting green transformation. This study transforms the time series into networks based on China’s pilots by using the visibility graph, mining more information ...
Yuxia Hu, Chengbin Chu, Peng Wu, Jun Hu    +3 more
doaj   +1 more source

A Relationships-based Algorithm for Detecting the Communities in Social Networks [PDF]

International Journal of Web Research, 2022
Social network research analyzes the relationships between interactions, people, organizations, and entities. With the developing reputation of social media, community detection is drawing the attention of researchers.
Sevda Fotovvat, Habib Izadkhah , Javad Hajipour   +2 more
doaj   +1 more source

Large Scale Community Detection Using a Small World Model

Applied Sciences, 2017
In a social network, small or large communities within the network play a major role in deciding the functionalities of the network. Despite of diverse definitions, communities in the network may be defined as the group of nodes that are more densely ...
Ranjan Kumar Behera, Santanu Kumar Rath, Sanjay Misra, Robertas Damaševičius, Rytis Maskeliūnas   +4 more
doaj   +1 more source

Simulating Subject Communities in Case Law Citation Networks

Frontiers in Physics, 2021
We propose and evaluate generative models for case law citation networks that account for legal authority, subject relevance, and time decay. Since Common Law systems rely heavily on citations to precedent, case law citation networks present a special ...
Jerrold Soh Tsin Howe
doaj   +1 more source

Network Community Detection on Metric Space

Algorithms, 2015
Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function,
Suman Saha, Satya P. Ghrera
doaj   +1 more source

Spectral Clustering Community Detection Algorithm Based on Point-Wise Mutual Information Graph Kernel

Entropy, 2023
To address the problem that traditional spectral clustering algorithms cannot obtain the complete structural information of networks, this paper proposes a spectral clustering community detection algorithm, PMIK-SC, based on the point-wise mutual ...
Yinan Chen, Wenbin Ye, Dong Li
doaj   +1 more source