Local Higher-Order Community Detection Based on Fuzzy Membership Functions
Local community detection, only considering the regional information of the large network, can be used to identify a densely connected community containing the seed node in a network, aiming to address the efficiency problem faced by global community detection. However, most existing studies in loca...
Main Authors: | Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8825771/ |
Similar Items
-
A Modified Distance Dynamics Model for Improvement of Community Detection
by: Tao Meng, et al.
Published: (2018-01-01) -
Smart Fall Detection by Enhanced SVM with Fuzzy Logic Membership Function
by: Mohammad Kchouri, et al.
Published: (2023-09-01) -
Designing Gaussian Membership Functions for Fuzzy Classifier Generated by Heuristic Possibilistic Clustering
by: Dmitri Arkady Viattchenin, et al.
Published: (2013-12-01) -
Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
by: Leonce Leandry, et al.
Published: (2022-10-01) -
Fuzzy simple linear regression using Gaussian membership functions minimization problem
by: Besma Belhadj
Published: (2022-10-01)