SoBigData

Contact Person: Dr. Nino Antulov-Fantulin

Duration: 09/2015 - present

Funding: EU Horizon 2020 (grant agreement No. 654024)

Website: external page www.SoBigData.eu

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 page Generalized Network Dismantling, PNAS April 2, 2019 116 (14) 6554-6559.

Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin, external page Sensing Social Media Signals for Cryptocurrency News, ACM WWW '19 Conference, MSM'19 Workshop.

Xiao-Long Ren, Niels Gleinig, Dijana Tolić, and Nino Antulov-Fantulin (2018) external page Underestimated Cost of Targeted Attacks on Complex Networks. Complexity, vol. 2018, Article ID 9826243

Piškorec, M., Antulov-Fantulin, N., Miholić, I., Šikić, M. (2017) external page Modeling of peer and external influence in online socialnetwork during December 1st 2013 referendum in Croatia 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 page ICDM 2018.

Dijana Tolic, Kaj-Kolja Kleineberg, Nino Antulov-Fantulin (2017) external page Simulating SIR processes on networks using weighted shortest paths. Scientific Reports 8:6562.

E. Boudemagh, I. Moise (2017) external page News Media Coverage of Refugees in 2016: A GDELT Case Study. 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 page Tracking Language Mobility in the Twitter Landscape. 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 page Self-regulatory information sharing in participatory social sensing. EPJ Data Science, 5(1), 14.