TY - JOUR AU - Lazer, D. AU - Pentland, A. S. AU - Adamic, L. AU - Aral, S. AU - Barabasi, A. L. AU - Brewer, D. AU - Van Alstyne, M. PY - 2009 DA - 2009// TI - Life in the network: the coming age of computational social science JO - Science VL - 323 UR - https://doi.org/10.1126/science.1167742 DO - 10.1126/science.1167742 ID - Lazer2009 ER - TY - JOUR AU - Vespignani, A. PY - 2009 DA - 2009// TI - Predicting the behavior of techno-social systems JO - Science VL - 325 UR - https://doi.org/10.1126/science.1171990 DO - 10.1126/science.1171990 ID - Vespignani2009 ER - TY - JOUR AU - Metaxas, P. T. AU - Mustafaraj, E. PY - 2012 DA - 2012// TI - Social media and the elections JO - Science VL - 338 UR - https://doi.org/10.1126/science.1230456 DO - 10.1126/science.1230456 ID - Metaxas2012 ER - TY - CHAP AU - Conover, M. D. AU - Gonçalves, B. AU - Flammini, A. AU - Menczer, F. PY - 2012 DA - 2012// TI - Partisan asymmetries in online political activity BT - EPJ Data Sci ID - Conover2012 ER - TY - CHAP AU - Asur, S. AU - Huberman, B. A. PY - 2010 DA - 2010// TI - Predicting the future with social media BT - 2010 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology (WI-IAT), Vol 1 UR - https://doi.org/10.1109/WI-IAT.2010.63 DO - 10.1109/WI-IAT.2010.63 ID - Asur2010 ER - TY - CHAP AU - Mestyán, M. AU - Yasseri, T. AU - Kertész, J. PY - 2013 DA - 2013// TI - Early prediction of movie box office success based on Wikipedia activity big data BT - PLoS ONE UR - https://doi.org/10.1371/journal.pone.0071226 DO - 10.1371/journal.pone.0071226 ID - Mestyán2013 ER - TY - JOUR AU - Bollen, J. AU - Mao, H. AU - Zeng, X. PY - 2011 DA - 2011// TI - Twitter mood predicts the stock market JO - J Comput Sci VL - 2 UR - https://doi.org/10.1016/j.jocs.2010.12.007 DO - 10.1016/j.jocs.2010.12.007 ID - Bollen2011 ER - TY - CHAP AU - Culotta, A. PY - 2010 DA - 2010// TI - Towards detecting influenza epidemics by analyzing Twitter messages BT - Proceedings of the first workshop on social media analytics PB - ACM CY - New York UR - https://doi.org/10.1145/1964858.1964874 DO - 10.1145/1964858.1964874 ID - Culotta2010 ER - TY - CHAP AU - Signorini, A. AU - Segre, A. M. AU - Polgreen, P. M. PY - 2011 DA - 2011// TI - The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic BT - PLoS ONE UR - https://doi.org/10.1371/journal.pone.0019467 DO - 10.1371/journal.pone.0019467 ID - Signorini2011 ER - TY - CHAP AU - Chew, C. AU - Eysenbach, G. PY - 2010 DA - 2010// TI - Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak BT - PLoS ONE UR - https://doi.org/10.1371/journal.pone.0014118 DO - 10.1371/journal.pone.0014118 ID - Chew2010 ER - TY - JOUR AU - Lazer, D. AU - Kennedy, R. AU - King, G. AU - Vespignani, A. PY - 2014 DA - 2014// TI - Big data. The parable of google flu: traps in big data analysis JO - Science VL - 343 UR - https://doi.org/10.1126/science.1248506 DO - 10.1126/science.1248506 ID - Lazer2014 ER - TY - JOUR AU - Aral, S. AU - Walker, D. PY - 2012 DA - 2012// TI - Identifying influential and susceptible members of social networks JO - Science VL - 337 UR - https://doi.org/10.1126/science.1215842 DO - 10.1126/science.1215842 ID - Aral2012 ER - TY - JOUR AU - Bond, R. M. AU - Fariss, C. J. AU - Jones, J. J. AU - Kramer, A. D. AU - Marlow, C. AU - Settle, J. E. AU - Fowler, J. H. PY - 2012 DA - 2012// TI - A 61-million-person experiment in social influence and political mobilization JO - Nature VL - 489 UR - https://doi.org/10.1038/nature11421 DO - 10.1038/nature11421 ID - Bond2012 ER - TY - JOUR AU - Centola, D. PY - 2010 DA - 2010// TI - The spread of behavior in an online social network experiment JO - Science VL - 329 UR - https://doi.org/10.1126/science.1185231 DO - 10.1126/science.1185231 ID - Centola2010 ER - TY - JOUR AU - Golder, S. A. AU - Macy, M. W. PY - 2011 DA - 2011// TI - Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures JO - Science VL - 333 UR - https://doi.org/10.1126/science.1202775 DO - 10.1126/science.1202775 ID - Golder2011 ER - TY - JOUR AU - Salganik, M. J. AU - Dodds, P. S. AU - Watts, D. J. PY - 2006 DA - 2006// TI - Experimental study of inequality and unpredictability in an artificial cultural market JO - Science VL - 311 UR - https://doi.org/10.1126/science.1121066 DO - 10.1126/science.1121066 ID - Salganik2006 ER - TY - JOUR AU - Szabo, G. AU - Huberman, B. A. PY - 2010 DA - 2010// TI - Predicting the popularity of online content JO - Commun ACM VL - 53 UR - https://doi.org/10.1145/1787234.1787254 DO - 10.1145/1787234.1787254 ID - Szabo2010 ER - TY - CHAP AU - Weng, L. AU - Menczer, F. AU - Ahn, Y. Y. PY - 2013 DA - 2013// TI - Virality prediction and community structure in social networks BT - Sci Rep ID - Weng2013 ER - TY - CHAP AU - Conover, M. D. AU - Davis, C. AU - Ferrara, E. AU - McKelvey, K. AU - Menczer, F. AU - Flammini, A. PY - 2013 DA - 2013// TI - The geospatial characteristics of a social movement communication network BT - PLoS ONE UR - https://doi.org/10.1371/journal.pone.0055957 DO - 10.1371/journal.pone.0055957 ID - Conover2013 ER - TY - CHAP AU - Conover, M. D. AU - Ferrara, E. AU - Menczer, F. AU - Flammini, A. PY - 2013 DA - 2013// TI - The digital evolution of Occupy Wall Street BT - PLoS ONE UR - https://doi.org/10.1371/journal.pone.0064679 DO - 10.1371/journal.pone.0064679 ID - Conover2013 ER - TY - JOUR AU - Vespignani, A. PY - 2012 DA - 2012// TI - Modelling dynamical processes in complex socio-technical systems JO - Nat Phys VL - 8 UR - https://doi.org/10.1038/nphys2160 DO - 10.1038/nphys2160 ID - Vespignani2012 ER - TY - BOOK AU - Epstein, J. M. PY - 1996 DA - 1996// TI - Growing artificial societies: social science from the bottom up ID - Epstein1996 ER - TY - CHAP AU - Ruiz, C. V. AU - Aiello, L. M. AU - Jaimes, A. PY - 2014 DA - 2014// TI - Modeling dynamics of attention in social media with user efficiency BT - EPJ Data Sci ID - Ruiz2014 ER - TY - CHAP AU - Iñiguez, G. AU - Török, J. AU - Yasseri, T. AU - Kaski, K. AU - Kertész, J. PY - 2014 DA - 2014// TI - Modeling social dynamics in a collaborative environment BT - EPJ Data Sci ID - Iñiguez2014 ER - TY - CHAP AU - Martin-Borregon, D. AU - Aiello, L. M. AU - Grabowicz, P. AU - Jaimes, A. AU - Baeza-Yates, R. PY - 2014 DA - 2014// TI - Characterization of online groups along space, time, and social dimensions BT - EPJ Data Sci ID - Martin-Borregon2014 ER - TY - CHAP AU - An, J. AU - Quercia, D. AU - Cha, M. AU - Gummadi, K. AU - Crowcroft, J. PY - 2014 DA - 2014// TI - Sharing political news: the balancing act of intimacy and socialization in selective exposure BT - EPJ Data Sci ID - An2014 ER - TY - CHAP AU - González-Bailón, S. AU - Wang, N. AU - Borge-Holthoefer, J. PY - 2014 DA - 2014// TI - The emergence of roles in large-scale networks of communication BT - EPJ Data Sci ID - González-Bailón2014 ER - TY - CHAP AU - Conover, M. AU - Ratkiewicz, J. AU - Francisco, M. AU - Gonçalves, B. AU - Menczer, F. AU - Flammini, A. PY - 2011 DA - 2011// TI - Political polarization on twitter BT - ICWSM ID - Conover2011 ER - TY - CHAP AU - Ferrara, E. PY - 2012 DA - 2012// TI - A large-scale community structure analysis in Facebook BT - EPJ Data Sci ID - Ferrara2012 ER - TY - JOUR AU - De Meo, P. AU - Ferrara, E. AU - Fiumara, G. AU - Provetti, A. PY - 2014 DA - 2014// TI - On Facebook, most ties are weak JO - Commun ACM VL - 57 UR - https://doi.org/10.1145/2629438 DO - 10.1145/2629438 ID - De Meo2014 ER -