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Identifying Influential and Susceptible Members of Social Networks

, and . Science, 337 (6092): 337--341 (Jul 20, 2012)
DOI: 10.1126/science.1215842

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Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks., and . Manag. Sci., 57 (9): 1623-1639 (2011)Identifying Social Influence in Networks Using Randomized Experiments., and . IEEE Intell. Syst., 26 (5): 91-96 (2011)Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"!, , and . ACL (1), page 9529-9549. Association for Computational Linguistics, (2023)Creating Social Contagion through Viral Product Design: A Randomized Trial of Peer Influence in Networks., and . ICIS, page 44. Association for Information Systems, (2010)Identifying Influential and Susceptible Individuals in Social Networks: Evidence from a Randomized Experiment, and . Workshop on Information Systems Economics (WISE), page 1. (2010)Ranking Scientific Publications Using a Simple Model of Network Traffic, , , and . CoRR, (2006)Design of Randomized Experiments in Networks., and . Proc. IEEE, 102 (12): 1940-1951 (2014)Stochastic gradient descent-based inference for dynamic network models with attractors., , , , , , and . CoRR, (2024)Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction., , and . CoRR, (2023)Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment., and . Manag. Sci., 60 (6): 1352-1370 (2014)