ICM优秀论文Word文档下载推荐.docx

ICM优秀论文Word文档下载推荐.docx

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we 

establish 

a 

model 

identifyingsuspects 

leader 

based 

on 

theory 

of 

centricity. 

We 

take 

three 

factors 

into 

consideration 

which 

are 

degree 

centrality, 

betweenness 

centrality 

and 

closeness 

to 

evaluate 

every 

possible 

suspect. 

And 

introduce 

comprehensive 

index 

ultimately 

crime 

group 

Gretchen.

Forproblemtwo,thispaperappliesthefuzzyevaluationmodeloftheproblemone.Itcomesoutthatthemostlikelyconspiratorsare16,81,51,56,33,57,60,28,10,79,69,13,17,15.Thecompleteprioritylistandotherdetailsofrequirement2areshowedinthepaper.

Forproblemthree,thispaperbuildsaweightedsocialnetwork---semanticnetworkonthebasisofthedemandtooptimizationthemodelwhichhasbeenestablished.Weusetherelationshipbetweenconceptsandpropertiestodefineaapplicablesemanticnetworktothecurrentcase.Thenfixingweightvaluestoeachtopicaccordingtothespecificcontentofnewsanditscontext.Finally,usingtextanalysistolearnthetopicfurthertoovercomethedefectscausedbythedataelementsinthemodel.

Atlast,thestrengthandweaknessofourmodelarediscussedandthefutureworkispointedaswell.

Keywords:

fuzzyevaluationmodel;

socialnetworkanalysis（SNA）;

semanticnetwork;

textanalysis;

theory 

centricity

1.Introduction

1.1Problembackground

Yourorganization,theIntergalacticCrimeModelers（ICM）,isinvestigatingaconspiracytocommitacriminalact.Theinvestigatorsarehighlyconfidenttheyknowseveralmembersoftheconspiracy,buthopetoidentifytheothermembersandtheleadersbeforetheymakearrests.Theconspiratorsandthepossiblesuspectedconspiratorsallworkforthesamecompanyinalargeofficecomplex.Thecompanyhasbeengrowingfastandmakinganameforitselfindevelopingandmarketingcomputersoftwareforbanksandcreditcardcompanies.ICMhasrecentlyfoundasmallsetofmessagesfromagroupof82workersinthecompanythattheybelievewillhelpthemfindthemostlikelycandidatesfortheunidentifiedco‐conspiratorsandunknownleaders.Sincethemessagetrafficisforalltheofficeworkersinthecompany,itisverylikelythatsome（maybemany）oftheidentifiedcommunicatorsinthemessagetrafficarenotinvolvedintheconspiracy.Infact,theyarecertainthattheyknowsomepeoplewhoarenotintheconspiracy.Thegoalofthemodelingeffortwillbetoidentifypeopleintheofficecomplexwhoarethemostlikelyconspirators.AprioritylistwouldbeidealsoICMcouldinvestigate,placeundersurveillance,and/orinterrogatethemostlikelycandidates.Adiscriminatelineseparatingconspiratorsfromnon‐conspiratorswouldalsobehelpfultodistinctlycategorizethepeopleineachgroup.ItwouldalsobehelpfultotheDA’sofficeifthemodelnominatedtheconspiracyleaders.

1.2Previousresearch

Werefertosomesocialnetworkrelationmodelsaboutcrimeorganizationstructureofthearticle.Suchasthepassage‘Enterprisehiddencrimedetectionbasedonsocialnetworkanalysisoffuzzyevaluationmodel’writtenbyZengYonginChinauniversityofPetroleum,and‘criminalorganizationstructureofsocialnetworkanalysis’writtenbyChenPenginTsinghuauniversity.Wehavelearnedaboutthebasicresearchonthefuzzyevaluationmethodandrelevantevaluationparametersofthemodel.

1.3Ourwork

Weapplynetworksciencetocrimebusting.Avariablenamedconspiracylikelihoodisdefinedtoquantifyhowlikelyonepersonisaconspirator.ThenweanalyzetheCriminalinformationnetworkbyestablishingseveralmodelsfromshallowtodeep.

2.Analysis

2.1Analysisforquestionone

Thispaperestablishedafuzzyevaluationmodelbasedonsocialnetworkanalysis（SNA）.Throughthesocialnetworkanalysiswecreateanindextoreflectthecharacteristicsoftheenterpriseinternalstaffsocialactivities.Usingfuzzyanalytichierarchyprocess,wecomprehensivelythinkabouttheseindexestoevaluatethepersonnelsuspectedofdegreeandthenfindoutthepossibilityofeveryonethatmayparticipateincriminalgangquantitativelyandidentifypossibleaccompliceandsortaccordingtothevolumeofsuspectedtheirpossibility.Inthelast,basedonthemodelcentricitytheoryweestablishedamodeltoidentifythesuspectleaders,gettingthemostpossiblecriminalgroupleaders.

2.2Analysisforquestiontwo

Thesolutiontoproblemtwoisthesameasthatofproblemone.Bothofthemusesocialnetworkanalysismethodtoestablishfuzzyevaluationmodel.Inthesecondquestion,weknowextraconditions.TopiconeisrelatedtotheplotandChrisisoneoftheaccomplices.

2.3Analysisforquestionthree

Semanticwebisalsoakindofnetwork,andthroughtheuseofthenetworkstructureofmutuallyconnectednodes,wetakeedgestorepresentthesemanticsoftherelationshipbetweentheconcepts.Sowecanusethetheoryofsemanticwebandacrimetheconceptsthatcanreflecttherelationshipbetweenthemultiplediagrams.Weusesemanticnetworkanalysismethodtogetherwiththeabovementionedcenterdegreeanalysisinourmodel.

3.Symbols,DefinitionsandAssumptions

3.1SymbolsandDefinitions

symbols

Definitions

i

companyemployeenumber

thecommunicationdegreeofnodesiandthesuspect

thecommunicationdegreeofnodesiandnon-suspects

u

oneofthesuspects/non-suspectentifiedsuspectsthenumberofnon-suspects

d（i,u）

theshortestdistancefromitou

theseriesofstagesrelativeLANandnodei

themostremoteplacethatnodeicanaffect

themaximumvalueoftheenterpriseLANseriesofallpersonnel

therelativenodecentralityofnodei

thenumberofreceivedmessages

thenumberofmessagessentout

thenumberofreceivedmessageswithsuspectthings

thenumberofmessagessentoutwithsuspectthings

thecenterpointofthepotential

thenumberofmessagesreceivedbythenodei

themaximumnumberofreceivedmessagesintheenterprise

3.2Generalassumptions

●Problem1,2onlythinkthatthetheme7.13.15aresuspiciousandothersarenormalsubjects,namelynotconsideringtheeffectofsubjectspecificcontentofsuspiciousdegree.Problem3requiresustotaketheconcretecontentofthethemesintoconsiderationsoastooptimizethemodelshavenbeenbuilt.

●Assumingthattheemergenceofinformationhasnothingtodowiththetime.

●Assumingthatthedataistrueanderrorscanbeignored.

●Assumingthatallmembersparticipateinthecontactandthereisnoisolatepointinthenetwork.

4.Threemodelsfortheproblems

4.1Model1：

Socialnetworkmodel

4.1.1Modelintroduction

Socialnetworkanalysisisakindofsociologicalresearchmethodsandsocialnetworkmodelisestablishedbasedonthemethod.Sociologicaltheoryisthatsocietynotmadeupofindividualsbutbythenetwork,networknodesandcontainstherelationshipbetweenthesocialnetworkanalysismethodthroughtheanalysisabouttherelationbetweenthenetworktostudythestructureandpropertyfeatureofthenetwork,includingnetworkofindividualattributesandtheoverallproperties.Networkindividualattributesanalysisincludes:

pointcentrality,closenesscentralitydegree,etc.Networkanalysisoftheoverallpropertiesincludessmallworldeffect,smallgroupresearch,condensingsubgroup,andsoon.Thismodelismainlyusedincriminology,electionpolls.

4.1.2Theestablishmentofthecriminalnetworkmodel

Intheenterprisesocialnetworkstructure,anoderepresentsacompanyemployeeandalinebetweentwonodesrepresentstheircommunication.Soweusethecollectionsofnodesanddirectedconnectionoftwonodestoestablishthemodel.

Picture1:

thestructureofcriminalnetwork

Network=（V,L）

TheNetworkmeanstherelationshipbetweendifferentnodes.Vmeansnodecollectionsorallthestaffsinthecompany.

.

isasinglenodeandNisthecollectionofnaturalnumbers.EachnodehastwokindsofcommunicationdegreeCwhicharein-degreeandout-degree.In-degreeisthenumberofmessagesthatonenodereceivedandonthecontraryout-degreeisthenumberofmessagesthatonenodesentout.Lrepresentsdifferentcommunicationpathsbetweenthenodes.

andinthisformula,

meansthenumberofmessagesthat

sentto

.TakethemethodSNAintoconsideration,basedonthenodeanditsresponserelationship,webuildaresponserelationshipmatrixS.Thereforetheenterprisecommunicationnetworkcanbeturnedintoacomputablesocialscience.

Replyrelationshipmatrix:

4.2Model2:

fuzzyevaluationmodel

4.2.1Theestablishmentofthefuzzyevaluationmodel

Thepossibilityofeachmemberintheenterprisetoparticipateinthecriminalgangisinvo