Social media networks have gained a lot of popularity among the people by rapidly spreading rumors inquiring a variety of human affairs. Nowadays people simply tend to hype over social media for publicity or promotion which is the prime source for all deception activities online. The data shared in the midst of social media may be spreading a bogus news online and sooner or later they will be sorted off the record as rumors, but meanwhile the rumor might have done an adequate amount of damage to the subject. Current day rumor Segregation practice aims no more than identifying the rumor in the reign, days after its first forecast. The anticipated model will serves as a precise way out for isolating a rumor by calculating the preparatory source of the rumor by the use of Jordan source center with SI, SIR, and SIRI infection models. Jordan source center is the best optimal source calculator which overcomes the error rate, infection rates and other parameters when compared to other centrality estimators from the marketplace. It helps in finding the source of a common social media rumor and proceeding further to cleanse the infections and trim down their forged impact over the social media networks.
R. Krithika, Ashok Kumar Mohan, and Sethumadhavan, M., “Jordan Center Segregation: Rumors in Social Media Networks”, in Security in Computing and Communications: 5th International Symposium, SSCC 2017, Manipal, India, September 13–16, 2017, Proceedings, vol. 746, S. M. Thampi, Pérez, G. Martínez, Westphall, C. Becker, Hu, J., Fan, C. I., and Mármol, F. Gómez, Eds. Singapore: Springer Singapore, 2017, pp. 146–158.