Publications

Found 98 results
Author Title Type [ Year(Asc)]
2017
Uzzi B, Jones B.  2017.  How to Find the Hotspots for Your Next Breakthrough Idea. Harvard Business Review.
Friedkin N.E, Bullo F..  2017.  How Truth Wins in Opinion Dynamics along Issue Sequences. Proceedings of the National Academy of Science (PNAS). 114(43):11380-11385.
Jones AT, Friedkin N, Singh A.  2017.  Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations. 6th Annual International Conference on Complex Networks and Their Applications.
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.
Parsegov SE, Proskurnikov AV, Tempo R, Friedkin NE.  2017.  Novel Multidimensional Models of Opinion Dynamics in Social Networks. IEEE Transactions on Automatic Control. 62(5)
Jia P., Friedkin N.E, Bullo F..  2017.  Opinion Dynamics and Social Power Evolution over Reducible Influence Networks. SIAM Journal on Control and Optimization. 55(2):21.
Proskurnikov A.V, Tempo R., Cao M., Friedkin N.E.  2017.  Opinion evolution in time-varying social influence networks with prejudiced agents.. IFAC World Congress. 50(1)
Amelkin V., Bullo F., Singh A.K.  2017.  Polar Opinion Dynamics in Social Networks. IEEE Transactions on Automatic Control (TAC). 62(11):5650-5665.
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.
Rawlings C., Friedkin N.E..  2017.  The Structural Balance Theory of Sentiment Networks: Elaboration and Test. American Journal of Sociology. 123(2):38.
Kim Y.J, Engel D., Woolley A.W, Lin J., McArthur N., Malone T.W.  2017.  What makes a strong team? Using collective intelligence to predict team performance in League of Legends 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017).
2016
Jia P., Friedkin N.E, Bullo F..  2016.  The Coevolution of Appraisal and Influence Networks leads to Structural Balance. IEEE Transactions on Network Science and Engineering.
Mei W, Friedkin N.E, Bullo F..  2016.  Dynamic Models of Appraisal Networks Explaining Collective Learning. IEEE Conf. on Decision and Control.
Uzzi B, Dunlap S.  2016.  Make Your Enemies Your Allies: Three steps to reversing a rivalry at work. Harvard Business Review.
Friedkin N.E, Proskurnikov A.V, Tempo R., Parsegov S.E.  2016.  Network science on belief system dynamics under logic constraints. Science. 354(6310):6.
Romero D., Uzzi B., Kleinberg J..  2016.  Social Networks Under Stress. 25th International World Wide Web Conference (WWW).
Friedkin N.E, Jia P., Bullo F..  2016.  A Theory of the Evolution of Social Power: Natural Trajectories of Interpersonal Influence Systems along Issue Sequences. Sociological Science. 3:28.
2015
Wooley A.W, Aggarwal I., Malone T.W.  2015.  Collective intelligence and group performance. Current Directions in Psychological Science. 24:4.
Woolley A.W, Aggarwal I., Malone T.W.  2015.  Collective Intelligence in Teams and Organizations. Handbook of Collective Intelligence.
Malone T.W.  2015.  Conclusion. Handbook of Collective Intelligence.
Malone T, Bernstein M.S.  2015.  Handbook of Collective Intelligence.
Malone T.W, Bernstein M.S.  2015.  Introduction. Handbook of Collective Intelligence.
0
Lim S, Ng J, Uzzi B.  0.  Predicting Crucial Information disclosures in Teams Facing Uncertainty. Management Science.

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