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Homophily within and across groups
Homophily within and across groups
Date: February 9, 2026
Speaker:
Clara Stegehuis
Clara Stegehuis
University of Twente
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Abstract
Abstract
Traditional social network analysis often models homophily, the tendency of similar individuals to form connections. using a single parameter. We will show that in many important applications, such as hypergraphs or temporal contact networks, homophily occurs at several different scales. We present a model that integrates these different homophily values through a random graph model with a maximum entropy approach. We demonstrate that the interaction between different levels of homophily results in complex percolation thresholds. Furthermore, we show that our model fits remarkably well on a wide range of data sets, capturing their homophily patterns accurately.
Speaker's Bio
Speaker's Bio
Clara Stegehuis is an associate professor at the University of Twente. She works at the intersection of probability theory, graph theory and stochastic networks, with an emphasis on asymptotic analysis, stochastic process limits, and randomized algorithms. Problems she investigates are often inspired by applications in network science, physics and computer science.
Date: March 2, 2026
Speaker:
Maxim Raginsky
Maxim Raginsky
University of Illinois at Urbana-Champaign
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TBD
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Date: March 30, 2026
Speaker:
Mohsen Bayati
Mohsen Bayati
Stanford University
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Abstract
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Date: April 13, 2026
Speaker:
Arnoud den Boer
Arnoud den Boer
University of Amsterdam
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Abstract
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Date: April 20, 2026
Speaker:
Ilias Zadik
Ilias Zadik
Yale University
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Abstract
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Date: May 4, 2026
Speaker:
Benjamin Van Roy
Benjamin Van Roy
Stanford University
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Abstract
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Date: May 11, 2026
Speaker:
Hamsa Bastani
Hamsa Bastani
University of Pennsylvania
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Abstract
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Date: May 18, 2026
Speaker:
Alan Scheller-Wolf
Alan Scheller-Wolf
Carnegie Mellon University
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Abstract
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