Influence Maximization Research conducted at SIGDATA Special Interest Group in Data (SIGDATA) includes researchers from Xerox Research, UMass, IIT Delhi, American Express Big-Data Labs, IIT Gandhinagar and IIT Kanpur

Related Publications (*Equal Contribution)

Debunking the Myths of Influence Maximization: An in-depth Benchmarking Study. [Project Page] (SIGMOD Reproducible) Akhil Arora*, Sainyam Galhotra* and Sayan Ranu Proc. of the 2017 ACM SIGMOD International Conference on Management of Data. Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models Sainyam Galhotra*, Akhil Arora*, and Shourya Roy Proc. of the 2016 ACM SIGMOD International Conference on Management of Data. ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model Sainyam Galhotra*, Akhil Arora*, Srinivas Virinchi, and Shourya Roy Proc. of the 2015 WWW International Conference on World Wide Web.

Primary Contributors

Akhil Arora Sainyam Galhotra Sayan Ranu Shourya Roy

Additional Contributors

Manoj Gupta Medha Atre Srinivas Virinchi Suqi Cheng