Article(id=1242136803013111934, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136800303591544, articleNumber=null, orderNo=4, doi=10.3981/j.issn.1000-7857.2018.08.002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1509292800000, receivedDateStr=2017-10-30, revisedDate=1522252800000, revisedDateStr=2018-03-29, acceptedDate=null, acceptedDateStr=null, onlineDate=1524797287700, onlineDateStr=2018-04-27, pubDate=1524844800000, pubDateStr=2018-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1524797287700, onlineIssueDateStr=2018-04-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078091619, creator=sys-migrate, updateTime=1774078091619, updator=sys-migrate, issue=Issue{id=1242136800303591544, tenantId=1146029695717560320, journalId=1146031591421210625, year='2018', volume='36', issue='8', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1524844800000', pubDateStr='2018-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078090974, creator='sys-migrate', updateTime=1774078090974, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=22, endPage=30, ext={EN=ArticleExt(id=1242136806494384278, articleId=1242136803013111934, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Theoretical studies of signed social networks based on null models, columnId=1242116903087440448, journalTitle=Science & Technology Review, columnName=Spescial Issues, runingTitle=null, highlight=null, articleAbstract=The structural balance and the status are important issues in social network fields, which can be used to analyze signed social networks with a mixture of positive and negative interactions. In this study firstly three novel random link-mixing null models are proposed. Then the status and structural balance theories of signed social networks are studied based on the random link-mixing null models as well as the random sign-mixing null models. It is shown that, based on null models, not only the accuracy obtained based on both theories can be verified in the study of empirical networks, but also the impacts of the positive and negative edge topologies and the edge signed correlation on the whole network properties can be revealed. Finally, a new framework is proposed to study whether the directed signed networks can be transformed into the undirected signed networks. It is confirmed that the common methods for transforming the directed signed networks into the undirected signed networks are not suitable for studying social network theories, and the potential theory in unsigned directed networks is also studied., authors=XU Xiaoke^1,2, GENG Xuena¹, WANG Xue³, authorsList=XU Xiaoke, GENG Xuena, WANG Xue, authorCompany=1. College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China;
2. Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, China;
3. Library of Dalian Minzu University, Dalian 116600, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Ck62XisgObr2FKYckdwgLg==, pdfFileSize=3050918, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136805412253831, articleId=1242136803013111934, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=参照零模型的符号社交网络理论研究, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=结构平衡理论和地位理论是社交网络领域的重要理论，可以用来分析同时具有正向和负向连边的社交符号网络。提出了3种新的随机断边重连零模型，基于随机断边重连和符号随机置乱两大类零模型，对符号社交网络的地位理论和结构平衡理论进行了系统研究。发现基于零模型不但可以验证两种理论在实证网络中的准确性，还能揭示正边、负边拓扑结构和连边符号相关性对于整个网络性质的影响。提出了一个新框架，研究能否将有向符号网络转化为无向符号网络，发现目前常用的将有向符号网络转化成无向符号网络的方法在有些情况下对于研究社交网络理论是不合适的，存在着信息损失；讨论了非符号有向网络中的势能理论。, authors=许小可^1,2, 耿雪娜¹, 王雪³, authorsList=许小可, 耿雪娜, 王雪, authorCompany=1. 大连民族大学信息与通信工程学院, 大连 116600;
2. 贵州省公共大数据重点实验室(贵州大学), 贵阳 550025;
3. 大连民族大学图书馆, 大连 116600, correspAuthors=null, authorNote=许小可,教授,研究方向为非线性时间序列分析和复杂网络,电子信箱:xuxiaoke@foxmail.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Is/WFgB3eeyYuiwJv7EATg==, pdfFileSize=3050918, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目（61773091，61603073，61374170）；大连市青年科技之星项目支持计划（2015R091）；贵州省公共大数据重点实验室开放课题（2017BDKFJJ001）)}, authors=null, keywords=[Keyword(id=1242136804971851907, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242136803013111934, language=CN, orderNo=1, keyword=符号网络), Keyword(id=1242136805085098116, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242136803013111934, language=CN, orderNo=1, keyword=网络零模型), 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