Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections

Ian Davidson1, Antoine Gourru2, Julien Velcin2, Yue Wu1
1University of California, Davis, Davis, USA
2Université de Lyon, Lyon 2, ERIC EA 3083, France, Lyon, France

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Aragón Pablo, Kappler Karolin Eva, Kaltenbrunner Andreas, Laniado David, Volkovich Yana (2013) Communication dynamics in Twitter during political campaigns: the case of the 2011 Spanish national election. Policy Internet 5(2):183–206

Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008(10):P10008

Bryden J, Funk S, Jansen VAA (2013) Word usage mirrors community structure in the online social network Twitter. EPJ Data Sci 2(1):3

Conover M, Ratkiewicz J, Francisco MR, Gonçalves B, Menczer F, Flammini A (2011) Political polarization on Twitter. Proc Int Conf Web Soc Med (ICWSM) 133:89–96

Davidson I, Gourru A, Ravi SS (2018) The clustering description problem: complexity results, algorithms and applications. In NIPS 2018

Enli G (2017) Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and Clinton in the 2016 US presidential election. Eur J Commun 32(1):50–61

Fraisier O, Cabanac G, Pitarch Y, Besançon R, Boughanem M (2018) #lyse2017fr: The 2017 French presidential campaign on twitter. Stanford, California, pp 501–510

Fraley C, Raftery AE (2006) Mclust version 3: an r package for normal mixture modeling and model-based clustering. Technical report, Washington Univ. Seattle Dpt. of Statistics

Gaumont N, Panahi M, Chavalarias D (2018) Reconstruction of the socio-semantic dynamics of political activist Twitter networks—method and application to the 2017 French presidential election. PLoS One 13(9):e0201879

Giorgino T, Giorgino MT (2018) Package dtw

Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821–7826

Herring SC, Paolillo JC, Ramos-Vielba I, Kouper I, Wright E, Stoerger S, Scheidt LA, Clark B (2007) Language networks on livejournal. In: 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07). IEEE, pp 79–79

Hong L, Convertino G, Chi EH (2011) Language matters in Twitter: a large scale study. In: 5th International AAAI conference on weblogs and social media

Johnson TJ, Perlmutter DD (2013) New media, campaigning and the 2008 Facebook election. Routledge, Abingdon

Kouloumpis E, Wilson T, Moore JD (2011) Twitter sentiment analysis: the good the bad and the omg! In: Proceedings of the international conference on web and the social media (ICWSM) 11(538–541):164

Kuo C-T, Ravi SS, Vrain C, Davidson I, et al (2018) Descriptive clustering: ILP and CP formulations with applications. In: IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence

Larsson AO, Moe H (2012) Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Med Soc 14(5):729–747

Ng, AY, Jordan MI, Weiss Y (2002) On spectral clustering: analysis and an algorithm. In: Advances in neural information processing systems, pp 849–856

Perrin A (2015) Social media usage. Pew Research Center, pp 52–68

Poblete B, Garcia R, Mendoza M, Jaimes A (2011) Do all birds tweet the same?: characterizing Twitter around the world. In: Proceedings of the 20th ACM international conference on Information and knowledge management. ACM, pp 1025–1030

Quraishi M, Fafalios P, Herder E (2018) Viewpoint discovery and understanding in social networks. In: Proceedings of the 10th ACM Conference on Web Science. ACM, pp 47–56

Romero DM, Meeder B, Kleinberg J (2011) Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on Twitter. In: Proceedings of the 20th international conference on World wide web. ACM, pp 695–704

Smith MA, Rainie L, Shneiderman B, Himelboim I (2014) Mapping Twitter topic networks: from polarized crowds to community clusters. Pew Research Center (https://www.pewinternet.org/2014/02/20/mapping-twitter-topic-networks-from-polarized-crowds-to-community-clusters)

Torgerson WS (1958) Theory and methods of scaling

Velcin J, Kim Y-M, Brun C, Dormagen J-Y, SanJuan E, Khouas L, Peradotto A, Bonnevay S, Roux C, Boyadjian J et al (2014) Investigating the image of entities in social media: Dataset design and first results. In: LREC, pp 818–822

Wang Y, Zheng B (2014) On macro and micro exploration of hashtag diffusion in Twitter. In: Proceedings of the IEEE/ACM international conference on advances in social networks analysis and mining. IEEE Press, pp 285–288

Williams C, Gulati G (2009) What is a social network worth? Facebook and vote share in the 2008 presidential primaries. In: Proceedings of the annual meeting of the American Political Science Association

Wong FMF, Tan CW, Sen S, Chiang M (2016) Quantifying political leaning from tweets, retweets, and retweeters. IEEE Trans Knowl Data Eng 28(8):2158–2172

Yang J, Leskovec J (2010) Modeling information diffusion in implicit networks. In: IEEE international conference on data mining. IEEE, pp 599–608

Yang Z, Algesheimer R, Tessone CJ (2016) A comparative analysis of community detection algorithms on artificial networks. Sci Rep 6:30750