SONIC Researchers Publish “Citation Distance: Measuring Changes in Scientific Search Strategies” in the Proceedings of the 25th International Conference on World Wide Web

SONIC JD/PhD candidate Ryan Whalen, along with coauthors Yun Huang (senior research associate at SONIC), Craig Tanis, Anup Sawant (senior software developer at SONIC), Brian Uzzi (SONIC affiliated faculty) and Noshir Contractor (SONIC lab director) recently published an article titled “Citation Distance: Measuring Changes in Scientific Search Strategies” in the Proceedings of the 25th International Conference Companion on World Wide Web.

Abstract:

Using latent semantic analysis on the full text of scientific articles, we measure the distance between 36 million citing/cited article pairs and chart changes in citation proximity over time. The analysis shows that the mean distance between citing and cited articles has steadily increased since 1990. This demonstrates that current scholars are more likely to cite distantly related research than their peers of 20 years ago who tended to cite more proximate work. These changes coincide with the introduction of new information technologies like the Internet, and the increasing popularity of interdisciplinary and multidisciplinary research. The “citation distance” measure shows promise in improving our understanding of the evolution of knowledge. It also offers a method to add nuance to scholarly impact measures by assessing the extent to which an article influences proximate or distant future work.

Read the full article here.

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SONIC Receives Funding from Northwestern University’s Office of the Provost to Create New Discussion Board Platform

Lab Director Noshir Contractor, IEMS Professor Seyed Iravani, and SONIC PhD candidate Jackie Ng were recently awarded a unique grant from Northwestern University’s Office of the Provost and Faculty Distance Learning Workshop. Their project titled “Fostering Effective Online Discussion in Higher Education With ‘Nebula’, a Graphical Interface for Discussion Boards” was one of only nine projects to receive funding as part of an initiative to increase Northwestern’s visibility in digital and online teaching environments.

For more information on this project check out the Nebula grant page.

Click here to read a news story featuring Nebula.

Click here to read a news story featuring all of the winning proposals.

Nebula

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Mathematicians Mapped Out Every “Game of Thrones” Relationship to Find the Main Character

It’s the network study you’ve all been waiting for! Who is the most popular Game of Thrones character? Prof. Beveridge of Macalester College and one of his undergraduate students have calculated a number of network statistics based on the proximity of names mentioned in George R. R. Martin’s famous novels. The only question is: can these metrics help predict who is likely to meet an unfortunate end in the future? If popularity is a significant predictor then I’m not looking forward to what happens next!

Read the full article here:

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Noshir Speaks at the University of California Santa Barbara’s Department of Computer Science

Lab Director Noshir Contractor presented his talk “Some Assembly Required: Organizing in the 21st Century” during a Research Group Talk at the University of California Santa Barbara’s Department of Computer Science. Click here for a link to the event page.

Abstract

Recent technological advances provide comprehensive digital traces of social actions, interactions, and transactions. These data provide an unprecedented exploratorium to model the socio-technical motivations for creating, maintaining, dissolving, and reconstituting into teams. Using examples from research on scientific collaboration, software development and massively multiplayer online games, Contractor will argue that Network Science serves as the foundation for the development of social network theories and methods to help advance our ability to understand the emergence of effective teams. More importantly, he will argue that these insights will also enable effective teams by building a new generation of recommender systems that leverage our research insights on the socio-technical motivations for creating ties.

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