Network Influence and Information Curation Lab

The Network Influence and Information Curation Lab studies influence and influential actors on social networks and the ways information is curated on those networks.

The Network Influence and Information Curation Lab studies influence and influential actors on social networks, generally in the context of social media, and focusing on the ways information is curated on those networks. The lab uses mixed methodologies such as content analysis, network analysis, interviews, and computational analysis. The lab takes an information centric approach to emerging network phenomena across social media and social actors.

Team

Jeff Hemsley is an Associate Professor at the School of Information Studies at Syracuse University and Director of the Center for Computational and Data Sciences. He earned his Ph.D. from the University of Washington’s Information School. His research is about understanding information diffusion, particularly in the context of politics, in social media. He is co-author of the book Going Viral (Polity Press, 2013 and winner of ASIS&T Best Science Books of 2014 Information award and selected by Choice magazine as an Outstanding Academic Title for 2014), which explains what virality is, how it works technologically and socially, and draws out the implications of this process for social change.

Jeff Hemsley

Alexander O. Smith is a 5th year Ph.D. student at Syracuse University School of Information Studies. His research is focused on memetics: the study of memes. Alexander is dedicated to forwarding theory and methods of classification, evolution, and flow of culture as an informational phenomena. His primary data involve visual media on various social media platforms which he interprets through a lens of Cultural Analytics and informational difference.

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Yiran Duan is a 3rd year Ph.D. student at Syracuse University’s School of Information Studies. Her current research interests are at the intersection of social media influencers and social network analysis. Specifically, she is interested in exploring how influencers broadcast information by using hashtags in social movements. She approaches this research area by applying both qualitative and quantitative methods to the #BlackLivesMatter data the lab collected from Twitter. Her most recent work explores how Dribbble.com may impact the Design industry and education by conducting interviews with designers using this platform.

duan-yiran

Dhwani Gandhi is a 2nd year graduate student pursuing Applied Data Science at Syracuse University’s School of Information Studies. She is inclined towards using data science techniques, such as machine learning and statistical modeling for analyzing structured and unstructured data. She is particularly focused on building predictive models to transform data into actionable insights.

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