简介:Inthispaper,weanalyzethe180stockswhichhavethepotentialinfluenceontheShanghaiStockExchange(SSE).First,weusethestockclosingpricesfromJanuary1,2005toJune19,2015tocalculatelogarithmicthecorrelationcoefficientandthenbuildthestockmarketmodelbythresholdmethod.Secondly,accordingtodifferentnetworksunderdifferentthresholds,wefindoutthepotentialinfluencestocksonthebasisoflocalstructuralcentrality.Finally,bycomparingtheaccuracyofsimilarityindexofthelocalinformationandpathinthelinkpredictionmethod,wedemonstratethattherearebestsimilarityindextopredicttheprobabilityfornodesconnectioninthedifferentstocknetworks.