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NCASD Alumnus Ben Gibson Joins RAND

Published on February 11, 2020 by

NCASD lab alumnus Ben Gibson, currently a postdoctoral researcher with the Army Research Lab, will be joining RAND’s Washington DC office this year as an Associate Sociologist.  In this position, Ben will leverage his expertise in social networks, research design, and statistical analysis to examine a range of questions related to public policy.  Congratulations to

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Statnet Consortium Wins Richards Award

Published on August 6, 2019 by

The 2019 William Richards software award from the International Network for Social Network Analysis has been given to the statnet Consortium, the group of volunteer software developers responsible for the statnet collection of libraries for the R statistical computing system.  NCASD lab PI Carter Butts is one of the founding developers of the group, having

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NCASD Lab Member Rick Gardner’s Work Featured

Published on August 2, 2019 by

NCSD lab member Rick Gardner’s work with the NSF-funded HEROIC project has recently been featured by the UCI School of Social Sciences, in a write-up that discusses his findings on Twitter Social Influence Bot Networks, and the role played by this work in his recent receipt of an NSF Graduate Research Fellowship.  Gardner’s research, results

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NCASD Lab Member Richard Gardner Receives NSF Graduate Research Fellowship

Published on July 31, 2019 by

Congratulations to NCASD Lab Member and Sociology graduate student Richard Gardner, who will be beginning a new National Science Foundation Graduate Research Fellowship in Fall 2019.  The NSF GRFP is a highly competitive fellowship program, which selects students based on a combination of their prior record of accomplishments, promise for excellence in their research field,

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NCASD Alumna Lorien Jasny Promoted to Senior Lecturer

Published on June 18, 2019 by

We are very pleased to announce that NCASD alumna and CNRA Fellow Lorien Jasny has been promoted to the position of Senior Lecturer in the Department of Politics at the University of Exeter.  This promotion, the equivalent of promotion to Associate Professor in the American academic system, recognizes Dr. Jasny’s significant body of contributions to

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Better Signal Mapping with Machine Learning

Published on March 18, 2019 by

Bad cellular reception is a universal frustration, but keeping the public at four bars takes a lot of work.  Cellular providers constantly test, tune, and develop their infrastructure, with a close eye on their performance – and that of their competitors.   Optimizing the network requires keeping tabs on signal strength, and on identifying problems quickly

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Making the Most of Bad News about Cancer

Published on March 13, 2019 by

When celebrities or other well-known figures go public with the bad news that they have cancer, there’s an opportunity for more than sympathy.  As shown in a new paper in the journal Cancer Control by NCASD Lab PI Carter Butts and alumnus Ben Gibson, with collaborators Sarah Vos and Jeannette Sutton, these announcements can serve

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NCASD Lab PI Butts Elected AAAS Fellow

Published on March 8, 2019 by

NCASD Lab PI Carter Butts recently traveled to Washington, DC, to receive recognition as a newly elected Fellow of the American Association for the Advancement of Science.  Each year, the AAAS recognizes a small number of scientists across all fields for outstanding contributions to the promotion and/or progress of scientific knowledge.  Butts was recognized for

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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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