MEASURING INFLUENCE ON INSTAGRAM: A NETWORK-OBLIVIOUS APPROACH

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MEASURING INFLUENCE ON INSTAGRAM: A NETWORK-OBLIVIOUS APPROACH ( measuring-influence-on-instagram-network-oblivious-approach )

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MEASURING INFLUENCE ON INSTAGRAM: A NETWORK-OBLIVIOUS APPROACH 5 in Proceedings of the 21st international conference on World Wide Web. ACM, 2012, pp. 709–718. [33] C. Egger, “Identifying key opinion leaders in social networks-an approach to use instagram data to rate and identify key opinion leader for a specific business field,” 2016. [34] A. Goyal, F. Bonchi, and L. V. Lakshmanan, “Learning influence probabilities in social networks,” in Proceedings of the third ACM international conference on Web search and data mining. ACM, 2010, pp. 241–250. [35] A. E. Hoerl and R. W. Kennard, “Ridge regression: Biased estima- tion for nonorthogonal problems,” Technometrics, vol. 12, no. 1, pp. 55–67, 1970. [36] L. Breiman, “Random forests,” Machine learning, vol. 45, no. 1, pp. 5–32, 2001. [37] E. W. Forgy, “Cluster analysis of multivariate data: efficiency versus interpretability of classifications,” biometrics, vol. 21, pp. 768–769, 1965. [38] C. S. Arau ́jo, L. P. D. Correˆa, A. P. C. da Silva, R. O. Prates, and W. Meira, “It is not just a picture: revealing some user practices in instagram,” in Web Congress (LA-WEB), 2014 9th Latin American. IEEE, 2014, pp. 19–23. [39] T. H. Silva, P. O. V. de Melo, J. M. Almeida, J. Salles, and A. A. Loureiro, “A picture of instagram is worth more than a thousand words: Workload characterization and application,” in Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on. IEEE, 2013, pp. 123–132. [40] S. Bakhshi, D. A. Shamma, and E. Gilbert, “Faces engage us: Photos with faces attract more likes and comments on instagram,” in Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 2014, pp. 965–974. [41] J. Y. Jang, K. Han, P. C. Shih, and D. Lee, “Generation like: comparative characteristics in instagram,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 2015, pp. 4039–4042. [42] Y.Hu,L.Manikonda,S.Kambhampatietal.,“Whatweinstagram: A first analysis of instagram photo content and user types.” in Icwsm, 2014. [43] E. Ferrara, R. Interdonato, and A. Tagarelli, “Online popularity and topical interests through the lens of instagram,” in Proceedings of the 25th ACM conference on Hypertext and social media. ACM, 2014, pp. 24–34. [44] L.Manikonda,Y.Hu,andS.Kambhampati,“Analyzinguseractiv- ities, demographics, social network structure and user-generated content on instagram,” arXiv preprint arXiv:1410.8099, 2014.

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