小世界網(wǎng)絡(luò)上的謠言免疫策略研究

1、浙江大學(xué)計(jì)算機(jī)學(xué)院碩士學(xué)位論文小世界網(wǎng)絡(luò)上的謠言免疫策略研究姓名：黃金煜申請學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)軟件與理論指導(dǎo)教師：金小剛20080515浙江大學(xué)碩士學(xué)位論文Abs昀ctAbstractStudiesaboutne似orksindicatethatmallyne研orkshaVe“smallworlde臟ct”Theref0re，sometimessmall_w’orldne鉚orkscaIlaccumtelydescribeth

2、estmctureofnet、vorksi11merealworldFurch％itisme砌ng血laIld曲port鋤toinvestigateproblenlsconcemedwiththerumorpropagationBaSedonthosefacts，westudythe11lmorpropagationonsmall一worldnet、)~，orksaIldourworkisasfollows：1W色modi匆themmo

3、rmodelintroducedbyMoeIloa11dcoauthorsw“chdescribesmemmorpropagationonnetworksWediVidetlleclaSsofpeoplewholoseinterestt0spreadtherumorinto觚osubclassesOneclaSscorrespondstothepeoplewhoacc印tthemmorbut10seinteresttopropagate

4、it；theotherclaSscorrespondstot11epeoplewhorejectthemmorhladdition，weintroduceanewparameterw11ichcaIlrepresentthecredibilityofthen珊or2BaSedonthosemodifications，we舀vemean—fieldequationsaboutthe丌刪orpropagationonsmall—wo訂dne

5、觚orksThrou曲solVingtheseequatiolls，wefindthatmereisno“mmort11reshold”onsmallworldne帆orksFurth％thepar鋤eterwhichcaIlr印resentnlecredibilityoftherumorhaSinverSerelationwithmedensityofi11dividualswhoacc印tthemmorbut10sei11teres

6、ttospreadit3WeinvestigatewhemerraIldomiln】m謝zationmechaIlismaIldtal苫etedimmullization羅nategyareefrectiVeornotinthemodified11lmormodelThrou曲numericalsimulationsaIlda11alysis，wefindthatwhentheaVeragedegreeofthene柳orkissmal

7、l，ralldomimmumzationstrategyandtargetedimmuIlizationstrategycansuCcessmllycontr01thepropagationofthemmorHowever，itisnotthecasewhelltheaVeragedegreeofthenetworkisla唱e111tlliscirc啪stallce，wecaIldecreasemeJrumorcredibilitya

8、ndapplyrandomortargetedi刪muIlizationstrateg)，atthes鋤etimeAsaconsequence，themmorpropagationc鋤bestillcon”011edwithoutimmunizingla唱edensityofindividualsonnetworl(sKeywords：WSmodel，Immunization衄eshold，Credibility，Ralldomimmu