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From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles.

, , , and . SocInfo (2), volume 10540 of Lecture Notes in Computer Science, page 111-120. Springer, (2017)

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Generalised hypergeometric ensembles of random graphs: the configuration model as an urn problem., and . CoRR, (2018)From Relational Data to Graphs: Inferring Significant Links Using Generalized Hypergeometric Ensembles., , , and . SocInfo (2), volume 10540 of Lecture Notes in Computer Science, page 111-120. Springer, (2017)Structure and Dynamics of Collaborative Knowledge Networks.. ETH Zurich, Zürich, Switzerland, (2018)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/282134).Generalized hypergeometric ensembles: Statistical hypothesis testing in complex networks, , , and . arXiv preprint arXiv:1607.02441, (2016)Detecting Path Anomalies in Time Series Data on Networks., , , , , and . CoRR, (2019)Citations driven by social connections? A multi-layer representation of coauthorship networks, , and . Quantitative Science Studies, 1 (4): 1493--1509 (2020)HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks., , , , , and . SDM, page 460-468. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..How do OSS projects change in number and size? A large-scale analysis to test a model of project growth, , , and . (2015)cite arxiv:1506.06924Comment: 22 pages, 10 figures.Quantifying triadic closure in multi-edge social networks., , , and . ASONAM, page 307-310. ACM, (2019)