640 citations · 796 across the 22 of their papers we have counts for
4 papers · 1 filter
Non-parametric Bayesian modeling of complex networks
Mikkel N. Schmidt, Morten Mørup
Modeling structure in complex networks using Bayesian non-parametrics makes it possible to specify flexible model structures and infer the adequate model complexity from the observ…
Nonparametric Bayesian models of hierarchical structure in complex networks
Mikkel N. Schmidt, Tue Herlau, Morten Mørup
Analyzing and understanding the structure of complex relational data is important in many applications including analysis of the connectivity in the human brain. Such networks can…
The Infinite Degree Corrected Stochastic Block Model
Tue Herlau, Mikkel N. Schmidt, Morten Mørup
In Stochastic blockmodels, which are among the most prominent statistical models for cluster analysis of complex networks, clusters are defined as groups of nodes with statisticall…
Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior
Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski +2
In this paper we present a study of sensing and analyzing an offline social network of participants at a large-scale music festival (8 days, 130,000+ participants). We place 33 fix…