{"title":"A nature-inspired algorithm to find community structure in complex networks","authors":"Bilal Saoud","doi":"10.22201/icat.24486736e.2023.21.3.1787","DOIUrl":null,"url":null,"abstract":"Complex networks have in generally communities. These communities are very important. Network’s communities represent sets of nodes, which are very connected. In this research, we developed a new method to find the community structure in networks. Our method is based on flower pollination algorithm (FPA) witch is used in the splitting process. The splitting of networks in our method maximizes a function of quality called modularity. We provide a general framework for implementing our new method to find community structure in networks. We present the effectiveness of our method by comparison with some known methods on computer-generated and real-world networks.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Research and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Complex networks have in generally communities. These communities are very important. Network’s communities represent sets of nodes, which are very connected. In this research, we developed a new method to find the community structure in networks. Our method is based on flower pollination algorithm (FPA) witch is used in the splitting process. The splitting of networks in our method maximizes a function of quality called modularity. We provide a general framework for implementing our new method to find community structure in networks. We present the effectiveness of our method by comparison with some known methods on computer-generated and real-world networks.
期刊介绍：
The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work.
The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs.
JART classifies research into the following main fields:
-Material Science:
Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors.
-Computer Science:
Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering.
-Industrial Engineering:
Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies
-Electronic Engineering:
Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation.
-Instrumentation engineering and science:
Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
