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]
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.

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Additional Contributors