摘要
Inthispaper,weanalyzethe180stockswhichhavethepotentialinfluenceontheShanghaiStockExchange(SSE).First,weusethestockclosingpricesfromJanuary1,2005toJune19,2015tocalculatelogarithmicthecorrelationcoefficientandthenbuildthestockmarketmodelbythresholdmethod.Secondly,accordingtodifferentnetworksunderdifferentthresholds,wefindoutthepotentialinfluencestocksonthebasisoflocalstructuralcentrality.Finally,bycomparingtheaccuracyofsimilarityindexofthelocalinformationandpathinthelinkpredictionmethod,wedemonstratethattherearebestsimilarityindextopredicttheprobabilityfornodesconnectioninthedifferentstocknetworks.
出版日期
2017年05月15日（中国期刊网平台首次上网日期，不代表论文的发表时间）
