学术研究的技术来确定影响之一是

PROBLEMC:UsingNetworkstoMeasureInfluenceandOneofthetechniquestodetermineinfluenceofacademicresearchistobuildandmeasurepropertiesofcitationorco-authornetworks.学术研究的技术来确定影响之一是构建Co-authoringamanuscriptusuallyconnotesastronginfluentialconnectionbetweenresearchers.与人合写一手稿通常意味着一个强大的的研究人员之间的联Oneofthemostfamousacademicco-authorswasthe20th-centurymathematicianPaulErdöswhohadover500co-authorsandpublishedover1400technicalresearch最著名的学术合作者是20世纪的数学家鄂尔多斯曾超过500的合作者和超过1400个技术研究。Itisironic,orperhapsnot,thatErdösisalsooneoftheinfluencersinbuildingthefoundationfortheemerginginterdisciplinaryscienceofnetworks,particularly,throughhispublicationwithAlfredRényiofthepaper“OnRandomGraphs”in1959.特别是通过与德Renyi的的“随机”在1959年。Erdös’sroleasacollaboratorwassosignificantinthefieldofmathematicsthatmathematiciansoftenmeasuretheirclosenesstoErdösthroughysisofErdös’samazinglylargeandrobustco-authornetwork(seethewebsite).鄂尔多斯作为合作者的角色非常重要领域的数学,数的合著网络(见)。TheunusualandfascinatingstoryofPaulErdösasagiftedmathematician,talentedproblemsolver,andmastercollaboratorisprovidedinmanybooksandon-linewebsites(e.g.,).的与众不同供了许多书籍和(如。,)Perhapshisitinerantlifestylefrequentlystayingwithorresidingwithhiscollaboratorsandgivingmuchofhismoneytostudentsasprizesforsolvingproblems,enabledhisco-authorshipstoflourishandhelpedbuildhisastoundingnetworkofinfluenceinseveralareasofmathematics.也许他流动的生活方式,经常保持与他的合作者或居住,并给的钱来解决问题学生奖,使他co-authorships蓬勃发展并帮助构建了惊人的网络在几 InordertomeasuresuchinfluenceasErdösproduced,therearenetwork-basedevaluationtoolsthatuseco-authorandcitationdatatodetermineimpactfactorofresearchers,publicationsandjournals.为了测量鄂尔多斯等影响生产的,有基于网络的评价工具,使用作者和引文数据来确定影响因素的研究,物和期SomeoftheseareScienceCitationIndex,Hfactor,Impactfactor,Eigenfactor,其中一些科学引文索引,Hfactor,影响因素,特征因子等Scholarisalsoagooddatatooltousefornetworkinfluenceorimpactdatacollectionandysis.Yourteam’sgoalforICM2014istoyzeinfluenceandimpactinresearchnetworksandotherareasofsociety.ICM2014你的团队的目标是分析研究网络和其他地区的和影响的社会YourtaskstodothisBuildtheco-authornetworkoftheErdos1authors(youcanusethefilefromthewebsiteortheoneweincludeatErdos1.htm构建Erdos1的合作网Youshouldbuildaco-authornetworkoftheapproximay510researchersfromthefileErdos1,whocoauthoredapaperwithErdös,butdonotincludeErdös.你该用文件Erdos1构建大概510位研究员的合著网络Thiswilltakesomeskilleddataextractionandmodelingeffortstoobtainthecorrectsetofnodes(theErdöscoauthors)andtheirlinks(connectionswithoneanotherascoauthors).Thereareover18,000linesofrawdatainErdos1file,butmanyofthemwillnotbeusedsincetheyarelinkstopeopleoutsidetheErdos1network.文件Erdos11800条原始数据，但很多可能由于不包阔在Erdos1的网络中而用不上Ifnecessary,youcanlimitthesizeofyournetworktoyzeinordertocalibrateyourinfluencemeasurementalgorithm.必要的话，缩小网络以便矫正你的度量算Oncebuilt,yzethepropertiesofthisnetwork.建完后分析网络性能(Again,donotincludeErdösheisthemostinfluentialandwouldbeconnectedtoallnodesinthenetwork.Inthiscase,it’sco-authorshipwithhimthatbuildsthenetwork,butheisnotpartofthenetworkortheDevelopinfluencemeasure(s)todeterminewhointhisErdos1networkhassignificantinfluencewithinthenetwork.开发影响途径以决定谁在网络中重要ConsiderwhohaspublishedimportantworksorconnectsimportantresearcherswithinErdos1.考虑谁了重要文献或者联合了重要的研究员Again,assumeErdösisnottheretoytheseAnothertypeofinfluencemeasuremightbetocomparethesignificanceofaresearchpaperbyyzingtheimportantworksthatfollowfromitspublication.另一种类型的测Choosesomesetoffoundationalpapersintheemergingfieldofnetworkscienceeitherfromtheattachedlist(NetSciFoundation.pdf)orpapersyoudiscover.Usethesepaperstoyzeanddevelopamodeltodeterminetheirrelative使用这些文件来分析和开发一个模型来确定它们的相对Buildtheinfluencecoauthororcitationnetworksandcalculateappropriatemeasuresforyourysis.构建的影响(合著者或)网络和计算分析适当措施。Whichofthepapersinyoursetdoyouconsideristhemostinfluentialinnetworkscienceandwhy?在你设定你认为是最具的网络科学,为什么?Isthereasimilarwaytodeterminetheroleorinfluencemeasureofanindividualnetworkresearcher?有类似的方式来确定的作用或影响测量网络研究员?Considerhowyouwouldmeasuretherole,influence,orimpactofaspecificuniversity,department,orajournalinnetworkscience?考虑如何测量作用、影响或影响特定大DiscussmethodologytodevelopsuchmeasuresandthedatathatwouldneedtobeImplementyouralgorithmonacompleydifferentsetofnetworkinfluencedataforinstance,influentialsongwriters,musicbands,performers,movieactors,directors,movies,TVshows,columnists,journalists,newspapers,magazines,novelists,novels,bloggers,tweeters,oranydatasetyoucaretoyze.一套完全不同的网络上实现算法影响的数据——例如,的作曲家,音乐乐队,表演者,演员、导演、、电、专栏作家、、报纸、、小说小说博客或者任何你愿意析的数据集。Youmaywishtorestrictthenetworktoaspecificgenreorgeographiclocationorpredeterminedsize.您可能希望限制网络特定类型或地理位置或预定的大小Finallydiscussthescienceunderstandingandutilityofmodelinginfluenceandimpactwithinnetworks.最后,讨论科学、理解和建模的影响和影响在网络的效用。Couldindividuals,organizations,nations,andsocietyuseinfluencemethodologytoimproverelationships,conductbusiness,andmakewisedecisions?可以个人、组织、Forinstance,attheindividuallevel,describehowyoucoulduseyourmeasuresandalgorithmstochoosewhototrytoco-authorwithinordertoboostyourmathematicalinfluenceasrapidlyaspossible.例如,在层面,描述如何使用你的措施和算法选择Orhowcanyouuseyourmodelsandresultstohelpdecideonagraduateschoolorthesisadvisortoselectforyourfutureacademicwork?或你如何使用你的模型和结果来帮助Writeareportexiningyourmodelingmethodology,yournetwork-basedinfluenceandimpactmeasures,andyourprogressandresultsforthepreviousfivetasks.Thereportmustnotexceed20pages(notincludingyoursummarysheet)andshouldpresentsolidysisofyournetworkdata;strengths,weaknesses,andsensitivityofyourmethodology;andthepowerofmodelingthesephenomenausingnetworkscience.报告不得超过20页(不包括你的汇总表),应提供确凿的网络数据的分析,优势,劣*Yoursubmissionshouldconsistofa1pageSummarySheetandyoursolutioncannotexceed20pagesforaumof21pages.*您的提交应该由一个1页汇总表，您的解决方案过20页最长21页Thisisalistingofpossiblepapersthatcouldbeincludedinafoundationalsetofinfluentialpublicationsinnetworkscience.这是一个可能的,可以包含在一组基本的的网络科学物Networkscienceisanew,emerging,diverse,interdisciplinaryfieldsothereisnolarge,concentratedsetofjournalsthatareeasytousetofindnetworkpaperseventhoughseveralnewjournalswererecentlyestablishedandnewacademicprogramsinnetworksciencearebeginningtobeofferedinuniversitiesthroughouttheworld.网络科学是一个新的、新Youcanusesomeofthesepapersorothersofyourownchoiceforyourteam’ssettoyzeandcompareforinfluenceorimpactinnetworksciencefortask#3.您可以使用其科学任务3。Erdös,P.andRényi,A.,OnRandomGraphs,PublicationesMathematicae,6:290-297,Albert,R.andBarabási,A-L.Statisticalmechanicsofcomplexnetworks.ReviewsofModernPhysics,74:47-97,2002.Bonacich,P.F.,PowerandCentrality:Afamilyofmeasures,AmJ.Sociology.92:1170-1182,1987.Barabási,A-L,andAlbert,R.Emergenceofscalinginrandomnetworks.Science,286:509-512,1999.Borgatti,S.Identifyingsetsofkeyyersinanetwork.ComputationalandGraham,R.Onpropertiesofawell-knowngraph,or,WhatisyourRamseynumber?AnnalsoftheNewYorkAcademyofSciences,328:166-172,June1979.Kleinberg,J.Navigationinasmallworld.Nature,406:845,2000.,M.Scientificcollaborationnetworks:II.Shortestpaths,weightednetworks,andcentrality.PhysicalReviewE,64:016132,2001.,M.Thestructureandfunctionofcomplexnetworks.SIAMReview,45:167-256,2003.Watts,D.andDodds,P.Networks,influence,andpublicopinionformation.JournalofConsumerResearch,34:441-458,2007.Watts,D.,Dodds,P.,and,M.Identityandsearchinsocialnetworks.Science,296:1302-1305,May2002.Watts,D.andStrogatz,S.Collectivedynamicsof`small-world'networks.Nature,393:440-442,19