Soojong Kim

Doctoral Student

Soojong Kim is a doctoral student at the Annenberg School for Communication, University of Pennsylvania. He is interested in social influence, social identity, and social networks. His research focuses on how we can understand, predict, and manipulate information flow on social networks. He is a member of the Center for Health Behavior and Communication Research (CHBCR), and Digital Media, Networks, and Political Communication Research Group (DiMeNet). His previous research in Network Dynamics Group focused on social epidemiology and complex system dynamics. 

As a former computer scientist and an engineer, he conducts research based on computational methods, including computational modeling and simulation, web-based experiment, and large-scale data analysis.

He holds B.S. and M.S. degrees in Electrical Engineering and Computer Science from Seoul National University. He worked at Samsung Electronics as a researcher. He also earned his Master degree in Sociology at Seoul National University.

Selected Publications

▹Hopkins, D., Kim, E., Kim, S., (2017). Does Newspaper Coverage Influence or Reflect Public Perceptions of the Economy, Research & Politics

▹Suh, Y., Kim, S., (2015). Accumulation of representable personal information through mobile applications of smart phones and policy implications of privacy protection, Information Society & Media (Korean)

Kim, S., Directionality of Information Flow and Echoes without Chambers, Under Review.

Kim, S., Effects of Structural Homophily on Information Flow and Perception, Working Manuscript.

Kim, S., Information Flow on Homogeneous Structures and Chambers without Echoes, Working Manuscript.

Kim, S., Representing the Social: Effects of Social Categorization on Political Polarization, Working Manuscript.

Kim, S., Bridging the Gap: Social Status and the Diffusion of Health Information, Working Manuscript.

Kim, S. and Oh, P., A Method of Generating Networks with Heterogeneous Agents and Structural Homophily, In Preparation.

Oh, P. and Kim, S., Empirical Evidence of the Emergence and Evolution of Language on Networks, In Preparation.

Conference Presentations

Kim, S., “Directionality of Information Flow and Echoes without Chambers,” National Communication Association (NCA) Annual Convention, Salt Lake City, UT, November 2018. (Accepted.)

Kim, S., “Creating Echo Chamber: How Biased Flow of Information Can Be Engineered,” International Conference on Computational Social Science, Evanston, IL, July 2018. (Accepted.)

Kim, S., Herbert, N., van de Rijt, A., Centola, D., “Emergence and Stability of Status Hierarchy,” International Conference on Computational Social Science, Cologne, Germany, July 2017.

Kim, S., Centola, D., "A seeding strategy to promote the spread of behavior on social networks", International School and Conference on Network Science, Indianapolis, Indiana, June 2017.

Kim, S., Herbert, N., van de Rijt, A., Centola, D., "Emergence and Stability of Status Hierarchy", the 5th Annenberg Graduate Student Symposium, March 2017.

▹ Herbert, N., Kim, S., and Centola, D., “Is inequality inevitable? An agent-based bargaining model of network structure and nominal characteristic tags”, Advances in Mathematical Sociology session, Annual Meeting of the American Sociological Association, Seattle, Washington, August 2016.

▹ Herbert, N., Kim, S., and Centola, D., “Is inequality inevitable? An agent-based bargaining model of network structure and nominal characteristic tags”, International Conference on Computational Social Science, Evanston, Illinois, June 2016.

Soojong Kim is a doctoral student at the Annenberg School for Communication. He is interested in social influence, social identity, and social networks. Currently, he is focusing on the topic of understanding, predicting, and manipulating information diffusion on social networks.

Kim's Network

  • John B. Jemmott III, Ph.D.
  • Sandra González-Bailón, Ph.D.
  • Yphtach Lelkes, Ph.D.
  • Digital Media and Social Networks
  • Media and Communication Effects
  • Center for Health Behavior and Communication Research
  • Digital Media, Networks, and Political Communication Group