Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Vosoughi, S.: Automatic detection and verification of rumors on Twitter. Doctoral dissertation, Massachusetts Institute of Technology (2015)
Luo, W., Tay, W.P., Leng, M., Guevara, M.K.: On the universality of the Jordan center for estimating the rumor source in a social network. In: 2015 IEEE International Conference on Digital Signal Processing (DSP), pp. 760–764. IEEE, July 2015
Seo, E., Mohapatra, P., Abdelzaher, T.: Identifying rumors and their sources in social networks. In: SPIE Defense, Security, and Sensing, p. 83891I. International Society for Optics and Photonics, May 2012
Zubiaga, A., Liakata, M., Procter, R., Bontcheva, K., Tolmie, P.: Towards detecting rumours in social media. arXiv preprint arXiv:1504.04712 (2015)
Song, L.: A Distributed Algorithm for Graph Center Problem. Complexity Research Group, BT Exact, Martlesham (2003)
Luo, W., Tay, W.P., Leng, M.: How to identify an infection source with limited observations. IEEE J. Sel. Top. Sig. Process. 8(4), 586–597 (2014)
Hedetniemi, S.M., Cockayne, E.J., Hedetniemi, S.T.: Linear algorithms for finding the Jordan center and path center of a tree. Transp. Sci. 15(2), 98–114 (1981)
Hage, P., Harary, F.: Eccentricity and centrality in networks. Soc. Netw. 17(1), 57–63 (1995)
Louni, A., Santhanakrishnan, A., Subbalakshmi, K.P.: Identification of source of rumors in social networks with incomplete information. arXiv preprint arXiv:1509.00557 (2015)
Zhao, Z., Resnick, P., Mei, Q.: Enquiring minds: early detection of rumors in social media from enquiry posts. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1395–1405. ACM, May 2015
Danthala, M.K.: Tweet analysis: twitter data processing using Apache Hadoop. Int. J. Core Eng. Manage. (IJCEM) 1, 94–102 (2015)
Viswanath, B., Mislove, A., Cha, M., Gummadi, K.P.: On the evolution of user interaction in Facebook. In: Proceeding of the 2nd ACM Workshop on Online Social Networks (2009)
Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2003)
Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)
Corcoran, M.: Death by cliff plunge, with a push from twitter. New York Times, 12 July 2009
Freeman, L.C., Borgatti, S.P., White, D.R.: Centrality in valued graphs: a measure of betweenness based on network flow. Soc. Netw. 13, 141–154 (1991)
“Mining Data from Twitter” from AbhishangaUpadhyay, Luis Mao, Malavika Goda Krishna (PDF)
Vinodhini, G., Chandrasekaran, R.M.: Sentiment analysis and opinion mining: a survey. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(6), 282–292 (2012). ISSN: 2277 128X
Devi, G.R., Veena, P.V., Kumar, M.A., Soman, K.P.: Entity extraction for Malayalam social media text using structured skip-gram based embedding features from unlabeled data. Procedia Comput. Sci. 93, 547–553 (2016)
Sanjay, S.P., Anand Kumar, M., Soman, K.P.: AMRITA_CEN-NLP@ FIRE 2015: CRF based named entity extractor for Twitter Microposts. In: FIRE Workshops, pp. 96–99 (2015)
Mahalakshmi, R., Suseela, S.: Big-SoSA: social sentiment analysis and data visualization on big data. Int. J. Adv. Res. Comput. Commun. Eng. 4(4), 304–306 (2015). ISSN: 2278-1021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Krithika, R., Mohan, A.K., Sethumadhavan, M. (2017). Jordan Center Segregation: Rumors in Social Media Networks. In: Thampi, S., Martínez Pérez, G., Westphall, C., Hu, J., Fan, C., Gómez Mármol, F. (eds) Security in Computing and Communications. SSCC 2017. Communications in Computer and Information Science, vol 746. Springer, Singapore. https://doi.org/10.1007/978-981-10-6898-0_12
Download citation
DOI: https://doi.org/10.1007/978-981-10-6898-0_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6897-3
Online ISBN: 978-981-10-6898-0
eBook Packages: Computer ScienceComputer Science (R0)