Now showing 1 - 8 of 8
  • 2015Journal Article
    [["dc.bibliographiccitation.firstpage","3374"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","IEEE Transactions on Knowledge and Data Engineering"],["dc.bibliographiccitation.lastpage","3389"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Tang, Jie"],["dc.contributor.author","Liu, Lu"],["dc.contributor.author","Luo, Jar-Der"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2017-09-07T11:45:32Z"],["dc.date.available","2017-09-07T11:45:32Z"],["dc.date.issued","2015"],["dc.identifier.doi","10.1109/tkde.2015.2453956"],["dc.identifier.gro","3149034"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5679"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","Institute of Electrical and Electronics Engineers (IEEE)"],["dc.relation.issn","1041-4347"],["dc.title","Triadic Closure Pattern Analysis and Prediction in Social Networks"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2021Journal Article
    [["dc.bibliographiccitation.firstpage","541"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","World Wide Web"],["dc.bibliographiccitation.lastpage","561"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Zhou, Wei"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Hua, Qiang-Sheng"],["dc.contributor.author","Yu, Dongxiao"],["dc.contributor.author","Jin, Hai"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2021-04-14T08:30:37Z"],["dc.date.available","2021-04-14T08:30:37Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1007/s11280-020-00857-0"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83307"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1573-1413"],["dc.relation.issn","1386-145X"],["dc.title","Core decomposition and maintenance in weighted graph"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2018Conference Paper
    [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.lastpage","5"],["dc.contributor.author","Zhao, Bo"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Luo, Jar-Der"],["dc.contributor.author","Wang, Xinggang"],["dc.contributor.author","Yao, Xiaoming"],["dc.contributor.author","Yahyapour, Ramin"],["dc.contributor.author","Zhenxuan, Wang"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2018-08-16T13:18:40Z"],["dc.date.available","2018-08-16T13:18:40Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1109/VTCSpring.2018.8417710"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15360"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.notes.status","final"],["dc.relation.conference","2018 IEEE 87th Vehicular Technology Conference (VTC Spring)"],["dc.relation.eventend","2018-06-06"],["dc.relation.eventlocation","Porto, Portugal"],["dc.relation.eventstart","2018-06-03"],["dc.relation.isbn","978-1-5386-6355-4"],["dc.relation.iserratumof","yes"],["dc.relation.orgunit","Gesellschaft für wissenschaftliche Datenverarbeitung"],["dc.title","A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2018Journal Article
    [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","ACM Transactions on Knowledge Discovery from Data"],["dc.bibliographiccitation.lastpage","25"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Dong, Yuxiao"],["dc.contributor.author","Tang, Jie"],["dc.contributor.author","Yang, Hongxia"],["dc.contributor.author","Chawla, Nitesh V."],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2018-05-28T12:08:14Z"],["dc.date.available","2018-05-28T12:08:14Z"],["dc.date.issued","2018"],["dc.description.abstract","The social triad—a group of three people—is one of the simplest and most fundamental social groups. Extensive network and social theories have been developed to understand its structure, such as triadic closure and social balance. Over the course of a triadic closure—the transition from two ties to three among three users, the strength dynamics of its social ties, however, are much less well understood. Using two dynamic networks from social media and mobile communication, we examine how the formation of the third tie in a triad affects the strength of the existing two ties. Surprisingly, we find that in about 80% social triads, the strength of the first two ties is weakened although averagely the tie strength in the two networks maintains an increasing or stable trend. We discover that (1) the decrease in tie strength among three males is more sharply than that among females, and (2) the tie strength between celebrities is more likely to be weakened as the closure of a triad than those between ordinary people. Furthermore, we formalize a triadic tie strength dynamics prediction problem to infer whether social ties of a triad will become weakened after its closure. We propose a TRIST method—a kernel density estimation (KDE)-based graphical model—to solve the problem by incorporating user demographics, temporal effects, and structural information. Extensive experiments demonstrate that TRIST offers a greater than 82% potential predictability for inferring triadic tie strength dynamics in both networks. The leveraging of the KDE and structural correlations enables TRIST to outperform baselines by up to 30% in terms of F1-score."],["dc.identifier.doi","10.1145/3154399"],["dc.identifier.uri","http://hdl.handle.net/2/14786"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Will Triadic Closure Strengthen Ties in Social Networks?"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]
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  • 2016Conference Paper
    [["dc.contributor.author","Froese, Fabian"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Davies, Samuel"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Zhenxuan, Wang"],["dc.date.accessioned","2017-11-29T15:56:51Z"],["dc.date.available","2017-11-29T15:56:51Z"],["dc.date.issued","2016"],["dc.fs.externid","233140"],["dc.fs.pkfprnr","21263"],["dc.identifier.fs","623377"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11234"],["dc.language.iso","en"],["dc.notes.intern","FactScience-Import"],["dc.notes.status","final"],["dc.publisher","Annual Conference of European International Business Academy"],["dc.relation.ispartof","42nd Annual Conference of European International Business Academy"],["dc.title","Which Role Does the Social Network of Expatriates Play in their Career Development?"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]
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  • 2017Book Chapter
    [["dc.bibliographiccitation.firstpage","105"],["dc.bibliographiccitation.lastpage","136"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Tang, Jie"],["dc.contributor.author","Liu, Lu"],["dc.contributor.author","Luo, Jar-Der"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.editor","Fu, Xiaoming"],["dc.contributor.editor","Luo, Jar-Der"],["dc.contributor.editor","Boos, Margarete"],["dc.date.accessioned","2017-09-07T11:44:54Z"],["dc.date.available","2017-09-07T11:44:54Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1201/9781315369594-6"],["dc.identifier.gro","3149003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5644"],["dc.language.iso","en"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","CRC Press"],["dc.publisher.place","Boca Raton/London/New York"],["dc.relation.ispartof","Social Network Analysis"],["dc.title","Analysis and Prediction of Triadic Closure in Online Social Networks"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2014Conference Paper
    [["dc.bibliographiccitation.firstpage","499"],["dc.bibliographiccitation.lastpage","504"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Tang, Jie"],["dc.contributor.author","Wu, Sen"],["dc.contributor.author","Liu, Lu"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2018-04-25T11:21:10Z"],["dc.date.available","2018-04-25T11:21:10Z"],["dc.date.issued","2014"],["dc.description.abstract","A closed triad is a group of three people who are connected with each other. It is the most basic unit for studying group phenomena in social networks. In this paper, we study how closed triads are formed in dynamic networks. More specifically, given three persons, what are the fundamental factors that trigger the formation of triadic closure? There are various factors that may influence the formation of a relationship between persons. Can we design a unified model to predict the formation of triadic closure? Employing a large microblogging network as the source in our study, we formally define the problem and conduct a systematic investigation. The study uncovers how user demographics and network topology influence the process of triadic closure. We also present a probabilistic graphical model to predict whether three persons will form a closed triad in dynamic networks. The experimental results on the microblogging data demonstrate the efficiency of our proposed model for the prediction of triadic closure formation."],["dc.identifier.doi","10.1145/2567948.2576940"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13777"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","ACM"],["dc.relation.conference","WWW '14 Companion"],["dc.relation.eventend","2014-04-11"],["dc.relation.eventlocation","Seoul, Korea"],["dc.relation.eventstart","2014-04-07"],["dc.relation.isbn","978-1-4503-2745-9"],["dc.relation.ispartof","Proceedings of the 23rd International Conference on World Wide Web"],["dc.title","Mining triadic closure patterns in social networks"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]
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  • 2018Journal Article
    [["dc.bibliographiccitation.firstpage","21"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","IEEE Communications Magazine"],["dc.bibliographiccitation.lastpage","27"],["dc.bibliographiccitation.volume","56"],["dc.contributor.author","Gong, Qingyuan"],["dc.contributor.author","Chen, Yang"],["dc.contributor.author","He, Xinlei"],["dc.contributor.author","Zhuang, Zhou"],["dc.contributor.author","Wang, Tianyi"],["dc.contributor.author","Huang, Hong"],["dc.contributor.author","Wang, Xin"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2020-12-10T18:26:15Z"],["dc.date.available","2020-12-10T18:26:15Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1109/MCOM.2018.1700575"],["dc.identifier.eissn","1558-1896"],["dc.identifier.issn","0163-6804"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76011"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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