network methods

California Exodus? A Network Model of Population Redistribution in the United States

The California Exodus, where droves of population are leaving California and settling in other U.S. states, has recently received broad media coverage, but less attention in scientific research. In a recent paper published in Journal of Mathematical Sociology, NCASD researchers Peng Huang and Carter Butts analyze the population redistribution pattern in the United States. They […]

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Parameter estimation procedures for exponential-family random graph models on count-valued networks: A comparative simulation study

The exponential-family random graph models (ERGMs) have emerged as an important framework for modeling a wide variety of relational types. ERGMs for valued networks are less well-developed than their unvalued counterparts, and pose particular computational challenges. Network data with edge values on the non-negative integers (count-valued networks) is an important such case, with examples ranging

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Network Hamiltonian Models Provide Access to Scalable Protein Aggregation Simulations

Aggregation of γD-crystallin proteins in the eye lens are a known cause of both genetic and age-related cataract disease. Models of these aggregates are difficult to produce due to the size and complexity of traditional Molecular Dynamics (MD) simulations. In this paper, published in The Journal of Physical Chemistry B, NCASD member Liz Diessner and

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