Social Network

blogs

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Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
Social Network Analysis has given us many tools to effectively manage information dissemination in a social group, study growth and dynamics in such groups, etc. But one of the key challenges when studying social groups of underprivileged or socially marginalized groups is the recovery of the underlying social network itself. This study proposes a machine learning approach for learning to effectively allocate a limited budget to discover the network.
By B Ravindran , By Harshavardhan P V
• Sep 5, 2020
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publications

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Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling

Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Shashikant Tambe,

In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems

https://dl.acm.org/doi/abs/10.5555/3398761.3398831
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Near optimal strategies for targeted marketing in social networks

Ramakumar Pasumarthi, Ramasuri Narayanam, B Ravindran,

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems

https://dl.acm.org/doi/10.5555/2772879.2773382