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UID:node-11483@prod.cs.cornell.edu
DTSTAMP:20210308T210000Z
DTSTART:20210308T210000Z
DTEND:20210308T220000Z
SUMMARY:Random Graphs with Prescribed K Core Sequences: A New Null Model for Network Analysis
DESCRIPTION:Katie Van Koevering, PhD, Cornel University. Random Graphs with Prescribed K Core Sequences: A New Null Model for Network Analysis (via Zoom)Abstract: In the analysis of large-scale network data, a fundamental operation is the comparison of observed phenomena to the predictions provided by null models: when we find an interesting structure in a family of real networks, it is important to ask whether this structure is also likely to arise in random networks with similar characteristics to the real ones. A long-standing challenge in network analysis has been the relative scarcity of reasonable null models for networks; arguably the most common such model has been the configuration model, which starts with a graph G and produces a random graph with the same node degrees as G. This leads to a very weak form of null model, since fixing the node degrees does not preserve many of the crucial properties of the network, including the structure of its subgraphs.Guided by this challenge, we propose a new family...https://prod.cs.cornell.edu/content/random-graphs-prescribed-k-core-sequences-new-null-model-network-analysis
LOCATION:Streaming via Zoom
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