Study finds a stronger correlation for women between success and being central to a network Being well connected is more important for women who want to get ahead in science than men, a study suggests. By analyzing how patterns of research collaboration relate to scientific outcomes, US statisticians found that highly cited female scientists at top US universities tended to be very prominent within their research networks. However, the same was not true for highly cited male scientists, who are generally less central to the larger academic networks they participated in, according to the paper by Charisse Madlock-Brown, from the University of Tennessee Health Science Center, and David Eichmann, from the University of Iowa. The article, “The Scientometrics of Successful Women in Science”, was published recently online by the Institute of Electrical and Electronics Engineers. Read the full article here.
On February 13, 2017 Noshir Contractor presented on Bridging the Boundary, while Minding the Seams: Boundary Propensities in Multiteam Systems in a colloquium held at the Center for Work, Technology, and Organization, Management Science & Engineering, Stanford University, CA.
Friendship isn’t always as serendipitous as it might feel. Are you a “tight-knitter”, a “compartmentalizer,” or a “sampler”? According to Dartmouth sociology professor Janice McCabe, whose study of the effects of social connections on academic performance was published this month in the journal Contexts, when forming new friendships, people tend to follow one of these three patterns. McCabe used mathematical models to examine the friendship structures of 67 students on a Midwestern college campus, aiming to figure out how those structures influenced success in the classroom. Read the full article here.
SONIC and ATLAS members: eight graduate students, one undergraduate researcher, and two post-doctoral researchers will be attending the NASA Human Research Program Investigators’ Workshop in Galveston, TX from January 23rd – January 26th. Our team is presenting six posters. Patrick Park: Understanding Elective Task Switching Ashley Niler: Impact of Social Connectedness, Communication Delay, and Sleep Deprivation on Cognitive Network Similarity in Analog Teams Zach Gibson: Building Extreme Teams: Simulating team Composition Effects in Isolated and Confined Environments Ilya Gokhman: Leadership Networks in Space Crews Igor Zakhlebin Influence of Interpersonal Perceptions on Team Structure in Long-Duration Space Exploration Missions Gabe Plummer: The Costs of Switching Between Team and Multiteam Tasks and The Role of Shared Cognition
On Sunday, December 4th, a SONIC PhD candidate Aaron Schecter and Professor Noshir Contractor presented at a workshop titled “The Network Science of Squads“, held in Denton, TX on December 3rd – 5th. An illustration of the relational event model to analyze group interaction processes Abstract A fundamental assumption in the study of groups is that they are constituted by various interaction processes that are critical to survival, success, and failure. However, there are few methods available sophisticated enough to empirically analyze group interaction. To address this issue, we present an illustration of relational event modeling (REM). A relational event is a “discrete event generated by a social actor and directed toward one or more targets.” Because REM provides a procedure for modeling relational event histories, it has the ability figure out which patterns of group interaction are more or less common than others. For instance, do past patterns of interaction influence future interactions, (e.g., reciprocity), do individual attributes make it more likely that individuals will create interactions (e.g., homophily), and do specific contextual factors influence interaction patterns (e.g., a complexity of a task)? The current presentation provides an REM tutorial from a multi-team system experiment in which two teams navigated a terrain ...
On December 1st, 2016, Noshir Contractor presented on Leveraging Computational Social Science to Address Grand Societal Challenges. The symposium, titled “Understanding social systems via computational approaches and new kinds of data”, took place from November 30 – December 1, 2016 at KOMED im MediaPark, Cologne, Germany The complete schedule of presentations and Noshir’s talk abstract can be viewed following the link below: http://www.gesis.org/css-wintersymposium/program/schedule/
As the electoral map turned crimson this evening, everyone exclaimed that the data and polls had not seen this coming. They were only partly right. At least one overlooked data source had made a very strong suggestion that Donald Trump enjoyed an unquantified current of popular support. Read the full article here
Please join us in celebrating the 10th birthday of Web Science at Northwestern University – the final stop of a 10-hour web-a-thon that will have spanned the globe from Singapore, Bangalore, Berlin, and London before landing in Evanston.
How the Bot-y Politic Influenced This Election: Nearly 20 percent of all election-related tweets come from an army of influential robots. Read the full article here. Trump’s Twitter Bots Turned Out on Election Day: Throughout the campaign, automated propaganda accounts on Twitter leaned Republican, but that disparity increased in the race’s final days. Read the full article here.