Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Statistics in natural sciences and technology Location: 0.001 Session Chair: Gaby Schneider Session Chair: Ansgar Steland | |
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Time-varying degree-corrected stochastic block models ISBA/LIDAM, UC Louvain, Belgium Recent interest has emerged in community detection for dynamic networks which are observed along a trajectory of points in time. In this talk, we present a time-varying degree-corrected stochastic block model to fit a dynamic network which allows evolving heterogeneity in the degrees of nodes within a community over time. Considering the influence of the varying time window on the aggregation of network information from different time points, in the parameter estimation, we propose a smoothing-based method to recover time-varying degree parameters and communities. In particular we provide rates of consistency of our smoothed estimators for degree parameters and communities using a time-localised profile-likelihood approach. We illustrate our method by some comparative simulation studies and an application to a real data set. | |
