基于多头绒泡菌仿生算法的复杂网络节点中心度研究

基于多头绒泡菌仿生算法的复杂网络节点中心度研究AbstractThe study of centrality in complex networks is of great significance

基于多头绒泡菌仿生算法的复杂网络节点中心度研究 Abstract Thestudyofcentralityincomplexnetworksisofgreat significanceinunderstandingthestructureandfunctionofsuch networks.Inthispaper,weproposeamulti-headslimemold algorithmbasedonbio-mimeticstostudythecentralityofnodes incomplexnetworks.Thealgorithmisdesignedtosimulatethe behaviorofslimemoldandtoestimatetheimportanceofnodes bymeasuringtheamountofslimemoldthatpassesthrough them.Throughsimulationsandexperiments,wedemonstratethe effectivenessofouralgorithminidentifyingnodeswithhigh centralityinvarioustypesofcomplexnetworks.Ourresultsshow thattheproposedalgorithmcanaccuratelyandefficientlyidentify themostimportantnodesincomplexnetworks,whichcanbe furtherusedinvariousapplicationssuchasnetworkanalysis, socialnetworkanalysis,andtransportationnetworks. Introduction Centralityisanimportantconceptinthestudyofcomplex networks.Itreferstotheimportanceorinfluenceofanodewithin anetwork.Severalcentralitymeasureshavebeenproposedinthe literature,suchasbetweennesscentrality,closenesscentrality, degreecentrality,andeigenvectorcentrality.Thesemeasureshave beenusedinvariousapplicationssuchassocialnetworkanalysis, transportationnetworkanalysis,andbiologicalnetworkanalysis. Inrecentyears,bio-inspiredalgorithmshavegained significantattentioninsolvingcomplexproblems.Onesuch algorithmistheslimemoldalgorithm,whichisbasedonthe behaviorofslimemold.Slimemoldhasbeenobservedtohave theabilitytofindtheshortestpathinamazebycreatinga networkofslimetubesthatconnectthefoodsources.This behaviorofslimemoldhasinspiredthedevelopmentofseveral algorithmsthatsimulatethebehaviorofslimemold.These algorithmshavebeenappliedtovariousproblemssuchaspath planning,optimization,anddecisionmaking. Inthispaper,weproposeamulti-headslimemoldalgorithm basedonbio-mimeticstostudythecentralityofnodesincomplex networks.Theproposedalgorithmisdesignedtosimulatethe behaviorofslimemoldinidentifyingimportantnodesina