Analysis of size of the largest dense subgraph of random hypergraph
Random networks are often described using Erdos-Renyi model of random graph . The concept of graph density is often used in random network analysis.
N. N. Kuzyrin, D. O. Lazarev
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ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics
Exponential-family random graph models are probabilistic network models that are parametrized by sufficient statistics based on structural (i.e., graph-theoretic) properties. The ergm package for the R statistical computing environment is a collection of
Ömer Nebil Yavero?lu +5 more
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Local Interaction on Random Graphs
We analyze dynamic local interaction in population games where the local interaction structure (modeled as a graph) can change over time: A stochastic process generates a random sequence of graphs. This contrasts with models where the initial interaction
Hans Haller, Siegfried Berninghaus
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On the Reliability of Wireless Sensor Networks with Multiple Sinks
The convergence of heterogeneous wireless sensor networks provides many benefits, including increased coverage, flexible load balancing capabilities, more efficient use of network resources, and the provision of additional data by different types of ...
Vladimir Shakhov, Denis Migov
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Where do knowledge-intensive firms locate in Germany?-An explanatory framework using exponential random graph modeling. [PDF]
Heidinger M +4 more
europepmc +1 more source
Practical Network Modeling via Tapered Exponential-family Random Graph Models. [PDF]
Blackburn B, Handcock MS.
europepmc +1 more source
Analysis of the global trade network using exponential random graph models. [PDF]
Setayesh A +2 more
europepmc +1 more source
Temporal exponential random graph models of longitudinal brain networks after stroke. [PDF]
Obando C +4 more
europepmc +1 more source
Testing biological network motif significance with exponential random graph models. [PDF]
Stivala A, Lomi A.
europepmc +1 more source
An introduction to exponential random graph (p*) models for social networks
G. Robins +3 more
semanticscholar +1 more source

