Longitudal Analysis and Modeling of Large-Scale Social Networks
The data generated by digital communication technologies will be used to:
- Test/validate existing social network theories about the mechanisms underlying network dynamics by developing quantitative high-fidelity temporal stochastic models of human behavior within social networks.
- Produce a data-driven, dynamic network modeling suite with prediction capabilities.
- Dr. Mark Alber (ACMS, Notre Dame)
- Dr. Zoltán Toroczkai (Physics, Notre Dame)
- Dr. Nitesh Chawla (Computer Science and Engineering, Notre Dame)
- Drs. Omar Lizardo and David Hachen (Sociology, Notre Dame)
- Notre Dame graduate students: Tanya Salyers (ACMS), Anthony Strathman (Physics), Ryan Lichtenwalter (Computer Science and Engineering), and Cheng Wang (Sociology)
- Dr. Albert-László Barabasi (Physics, Northeastern University)
- Hyunju Kim, (Postdoc, Physics, Virginia Tech)