Publications

Found 98 results
[ Author(Desc)] Title Type Year
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Ma Y, Uzzi B.  2018.  The Scientific Prize Network Predicts Who Pushes the Boundaries of Science.. Proceedings of the National Academy of Science (PNAS) . 115(50)
Ma Y, Mukherjee S, Uzzi B.  2020.  Mentorship and Protege Success on Scientific Teams. PNAS. 117(25)
Majeti D, Akleman E, Ahmed MEmtiaz, Petersen A, Uzzi B, Pavlidis I.  2020.  Scholar Plot: Designing a Well-Abstracted and Scalable Interface for Academic Performance. Frontiers in Research Metrics and Analytics. 4:6.
Malone T.W.  2018.  Superminds: The surprising power of people and computers working together.
Malone T.W, Nickerson J.V, Laubacher R.J, Fisher L.H, de Boer P., Han Y., Towne W.B.  2017.  Putting the pieces back together again: Contest webs for large-scale problem solving. ACM Conference on Computer-Supported Cooperative Work and Social Computing.
Malone T.W.  2015.  Conclusion. Handbook of Collective Intelligence.
Malone T.W, Bernstein M.S.  2015.  Introduction. Handbook of Collective Intelligence.
Malone T.W.  2019.  How can human-computer “superminds” develop business strategies? In J. Canals (Ed.), The Future of Management in an Artificial Intelligence-based World.
Malone T.W, Woolley A.W.  2020.  Collective Intelligence. In R. Sternberg (Ed.), Cambridge Handbook of Intelligence. :780-801.
Malone T, Bernstein M.S.  2015.  Handbook of Collective Intelligence.
McGlashan J, de la Haye K, Wang P., Allender S..  2019.  Collaboration in complex systems: Multilevel network analysis for community-based obesity prevention interventions. Scientific Reports.
Mei W, Bullo F.  2017.  Competitive Propagation: Models, Asymptotic Behavior and Quality-Seeding Games. IEEE Transactions on Network Science and Engineering. 4(2):7.
Mei W, Cisneros-Velarde P, Friedkin NE, Bullo F.  2019.  Dynamic social balance and convergent appraisals via homophily and influence mechanisms. Automatica. 110
Mei W., Mohagheghi S., Zampieri S., Bullo F..  2017.  On the dynamics of deterministic epidemic propagation over networks. Annual Reviews in Control. 44:116-128.
Mei W, Friedkin N.E, Bullo F..  2016.  Dynamic Models of Appraisal Networks Explaining Collective Learning. IEEE Conf. on Decision and Control.
Mei W.  2018.  Modeling and Analysis of Social Network Dynamics: Propagation, Learning and Structural Balance. Mechanical Engineering. PhD
Mei W., Friedkin N.E, Lewis K., Bullo F..  2018.  Dynamic models of appraisal networks explaining collective learning. IEEE Transactions on Automatic Control. 63(9)
Mohagheghi S., Agharkar P., Friedkin N.E, Bullo F..  2020.  Multi-Group Connectivity Structures and their Implications. Network Science. 7(4):459-475.
Mohagheghi S..  2020.  Network Science of Teams: Dynamics, Algorithms, and Implications. Electrical and Computer Engineering. PhD
Mukherjee S, Romero D, Jones B, Uzzi B.  2017.  The Nearly Universal Link Between the Age of Past Knowledge and Tomorrow’s Breakthroughs in Science and Technology. Science Advances.
Mukherjee S, Huang Y, Neidhardt J, Uzzi B, Contractor N.  2019.  Prior shared success predicts victory in team competitions. Nature Human Behavior. 3
Mukherjee S, Yun H., Contractor N., Uzzi B..  Submitted.  Predicting Success in Multiteam Systems Based on Between Team Player Transfers. Journal of the British Royal Society.

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