Zhan Shi

Asst Professor

  • 120 Citations
  • 2 h-Index
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Update Mathematics
Product Space Mathematics
Period of time Mathematics
Recommendations Mathematics
Social networks Business & Economics
Decrease Mathematics
Broadcasting Business & Economics
Observational learning Business & Economics

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Research Output 2013 2018

  • 120 Citations
  • 2 h-Index
  • 3 Article
  • 2 Conference contribution
2 Citations (Scopus)
Data envelopment analysis
Mathematical models
Network development
Supply network

When your app is under the spotlight

Liang, C., Shi, Z. & Santanam, R., Jan 1 2017, Internetworked World - 15th Workshop on e- Business, WeB 2016, Revised Selected Papers. Springer Verlag, Vol. 296. p. 110-116 7 p. (Lecture Notes in Business Information Processing; vol. 296).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programs
Recommender systems
Product Space

Representation, homophily, and polarization in the U.S. House of representatives in the twitter era

Mousavi, R., Gu, B., Vinze, A. & Shi, Z., 2015, 25th Annual Workshop on Information Technologies and Systems, WITS 2015. University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Content sharing in a social broadcasting environment: Evidence from Twitter

Shi, Z., Rui, H. & Whinston, A. B., Mar 1 2014, In : MIS Quarterly: Management Information Systems. 38, 1, p. 123-142 20 p.

Research output: Contribution to journalArticle

Maximum likelihood
20 Citations (Scopus)

Network structure and observational learning: Evidence from a location-based social network

Shi, Z. & Whinston, A. B., Oct 1 2013, In : Journal of Management Information Systems. 30, 2, p. 185-212 28 p.

Research output: Contribution to journalArticle

Computer science
Observational learning
Social networks
Network structure
Learning model