Barik, Reet, Cappa, Wade, Ferdous, SM, Minutoli, Marco, Halappanavar, Mahantesh, and Kalyanaraman, Ananth. GreediRIS: Scalable influence maximization using distributed streaming maximum cover. Retrieved from https://par.nsf.gov/biblio/10569741. Journal of Parallel and Distributed Computing 198.C Web. doi:10.1016/j.jpdc.2025.105037.

Barik, Reet, Cappa, Wade, Ferdous, SM, Minutoli, Marco, Halappanavar, Mahantesh, & Kalyanaraman, Ananth. GreediRIS: Scalable influence maximization using distributed streaming maximum cover. Journal of Parallel and Distributed Computing, 198 (C). Retrieved from https://par.nsf.gov/biblio/10569741. https://doi.org/10.1016/j.jpdc.2025.105037

Barik, Reet, Cappa, Wade, Ferdous, SM, Minutoli, Marco, Halappanavar, Mahantesh, and Kalyanaraman, Ananth. "GreediRIS: Scalable influence maximization using distributed streaming maximum cover". Journal of Parallel and Distributed Computing 198 (C). Country unknown/Code not available: Journal of Parallel Distributed Computing. https://doi.org/10.1016/j.jpdc.2025.105037. https://par.nsf.gov/biblio/10569741.

@article{osti_10569741,
place = {Country unknown/Code not available}, title = {GreediRIS: Scalable influence maximization using distributed streaming maximum cover}, url = {https://par.nsf.gov/biblio/10569741}, DOI = {10.1016/j.jpdc.2025.105037}, abstractNote = {}, journal = {Journal of Parallel and Distributed Computing}, volume = {198}, number = {C}, publisher = {Journal of Parallel Distributed Computing}, author = {Barik, Reet and Cappa, Wade and Ferdous, SM and Minutoli, Marco and Halappanavar, Mahantesh and Kalyanaraman, Ananth}, }