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Dissecting Subgroups in Complex Networks

Published on June 4, 2018 by

Complex social, biological, or other networks often arise from a wide range of mechanisms, acting within a heterogeneous and often dynamic environment.  This complicated “stew” of factors gives rise to networks that are anything but clean and elegant: rather, they are decidedly “lumpy,” consisting of myriad overlapping subgroups of varying size and consistency.  While this

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To Improve Network Measurement, Minimize Opportunities for Error

Published on May 28, 2018 by

Measuring social, biological, and other networks is often a difficult and expensive process, involving surveys, experiments, or other time consuming and costly procedures.  Given that no measurement is perfect, how do we get the greatest “bang for the buck” when trying to assess network ties?  A new paper by NCASD lab members Francis Lee and

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Solving the Mysteries of Butterfly Spit – With Computation

Published on January 5, 2018 by

Heliconius butterflies are unusual in consuming pollen — unlike butterflies that live on nectar — a task made more difficult by the fact that they lack the mouthparts needed to chew it.  How do these insects manage to devour pollen grains too big to swallow, without the ability to chew them?  The answer lies in

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NCASD Lab Publishes Work on New Methods for Simulating Networks

Published on November 6, 2017 by

Simulating the structure of complex networks is an important challenge for problems ranging from the modeling organizational structure to understanding the behavior of protein aggregates.  While recent years have seen many innovations in this area, obtaining provably high quality simulations for networks with complex dependence has remained an elusive goal.  In a forthcoming paper in

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Improving Molecular Dynamics Simulations with Machine Learning

Published on October 13, 2017 by

NCASD Postdoc Gianmarc Grazioli, Lab PI Carter Butts, and Prof. Ioan Andricioaei from the UCI Chemistry Department have published new results showing how the performance of molecular dynamics simulations can be improved with a little help from machine learning.  These results are contained in their forthcoming paper, “Automated Placement of Interfaces in Conformational Kinetics Calculations

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Lab PI Butts Elected to ASA Offices

Published on June 12, 2017 by

Lab PI Carter Butts has been elected to two offices in the American Sociological Association: the Section Council of the ASA Section on Methodology, and Chair-Elect of the ASA Section on Mathematical Sociology.  Butts is currently serving a term on the Section Council of the ASA Section on Mathematical Sociology, and will transition from this

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New Book by Lab Alumna Landivar

Published on June 9, 2017 by

Lab Alumna Liana Landivar (Senior Researcher and Sociologist at the US Department of Labor) has released a new book, Mothers at Work: Who Opts Out?  Landivar’s book examines a key question relating to the labor force participation of high-achieving American women: are mothers in managerial and professional occupations more likely to leave the labor force

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NCASD, Martin Labs Apply Network Analysis and Molecular Modeling to Chitinases

Published on March 20, 2017 by

Chitin, the polysaccharide-based material from which insects make their exoskeletons, is tough stuff – and digesting it is a tall order, especially for a plant.  Nevertheless, some carnivorous plants, like the Cape Sundew, Drosera Capensis, are able to do just that.  In a recent paper in Biochemica et Biophysica Acta, NCASD Lab PI Butts and

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Dr. Gianmarc Grazioli to Join NCASD Lab

Published on March 17, 2017 by

The NCASD Lab is pleased to welcome Dr. Gianmarc Grazioli, who will be joining as a postdoctoral scholar as of spring quarter, 2017.  Dr. Grazioli, who obtained his Ph.D. in the Andricioaei lab before a one-year stint in the Paesani lab at UCSD, brings with him a wealth of expertise in molecular modeling, particularly the

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CNRA Fellow and Lab Member Phillips Heading to Harvard

Published on March 15, 2017 by

CNRA Graduate Fellow and NCASD Lab Member Nolan Phillips has accepted a position as a postdoctoral scholar at Harvard University, starting in fall 2018.  Phillips, who is completing his dissertation work on network comparison, model evaluation, and the dynamics of technology adoption by government agencies, will join the group of Professor Robert Sampson, where he

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