SoBigData
Contact Person: Dr. Nino Antulov-Fantulin
Duration: 09/2015 - 12/2019
Funding: EU Horizon 2020 (grant agreement No. 654024)
Website: external pagewww.SoBigData.eucall_made
Description:
Social Mining & Big Data Ecosystem
SoBigData proposes to create the Social Mining & Big Data Ecosystem: a research infrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by “big data”. Building on several established national infrastructures, SoBigData will open up new research avenues in multiple research fields, including mathematics, ICT, and human, social and economic sciences, by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services, into new research. The high-level goal of SoBigData is to deliver an innovative research infrastructure for analysing large volumes of social data, by bringing together state-of-the-art methods and services from complementary research fields.
Our team will contribute to the project by 1) developing tools to monitor and analyse the social processes around data
science and innovation, 2) enhancing these social processes by integrating personalization techniques and recommender systems, 3) providing methods and services for measuring and understanding social behaviour and human dynamics (such as individual profiling, learning and monitoring collective sentiment/opinion, predictive analytics for social measurements, models for multi-dimensional diffusion processes).
Publications
Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin, external pageGeneralized Network Dismantlingcall_made, PNAS April 2, 2019 116 (14) 6554-6559.
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin, external pageSensing Social Media Signals for Cryptocurrency Newscall_made, ACM WWW '19 Conference, MSM'19 Workshop.
Xiao-Long Ren, Niels Gleinig, Dijana Tolić, and Nino Antulov-Fantulin (2018) external pageUnderestimated Cost of Targeted Attacks on Complex Networkscall_made. Complexity, vol. 2018, Article ID 9826243
Piškorec, M., Antulov-Fantulin, N., Miholić, I., Šikić, M. (2017) external pageModeling of peer and external influence in online socialnetwork during December 1st 2013 referendum in Croatiacall_made Proceedings of the 6th International Workshop on Complex Networks and their Applications
Tian Guo, Albert Bifet, and Nino Antulov-Fantulin, Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders, accepted at external pageICDM 2018call_made.
Dijana Tolic, Kaj-Kolja Kleineberg, Nino Antulov-Fantulin (2017) external pageSimulating SIR processes on networks using weighted shortest pathscall_made. Scientific Reports 8:6562.
E. Boudemagh, I. Moise (2017) external pageNews Media Coverage of Refugees in 2016: A GDELT Case Studycall_made. AAAI Publications, Eleventh International AAAI Conference on Web and Social Media.
S. Wang, I. Moise, D. Helbing and T. Terano (2017). Early Signals of Trending Rumor Event in Streaming Social Media. Workshop of IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC) 2017, Turin, Italy.
D. Griego, V. Buff, E. Hayoz, I. Moise, E. Pournaras (2017). Sensing and Mining Urban Qualities in Smart Cities. Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications-AINA 2017, Taipei.
I. Moise, E. Gaere, R. Merz, S. Koch and E. Pournaras (2016). external pageTracking Language Mobility in the Twitter Landscapecall_made. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, 663-670.
E. Pournaras, J. Nikolic, P. Velásquez, M. Trovati, N. Bessis, D. Helbing (2016). external pageSelf-regulatory information sharing in participatory social sensingcall_made. EPJ Data Science, 5(1), 14.