Explore the words cloud of the RENOIR project. It provides you a very rough idea of what is the project "RENOIR" about.
The following table provides information about the project.
Coordinator |
POLITECHNIKA WARSZAWSKA
Organization address contact info |
Coordinator Country | Poland [PL] |
Project website | http://www.renoirproject.eu/ |
Total cost | 1˙314˙000 € |
EC max contribution | 1˙273˙500 € (97%) |
Programme |
1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge) |
Code Call | H2020-MSCA-RISE-2015 |
Funding Scheme | MSCA-RISE |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2019-12-31 |
Take a look of project's partnership.
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1 | POLITECHNIKA WARSZAWSKA | PL (WARSZAWA) | coordinator | 508˙500.00 |
2 | POLITECHNIKA WROCLAWSKA | PL (WROCLAW) | participant | 346˙500.00 |
3 | INSTITUT JOZEF STEFAN | SI (LJUBLJANA) | participant | 301˙500.00 |
4 | SLOVENSKA TISKOVNA AGENCIJA DOO | SI (LJUBLJANA) | participant | 117˙000.00 |
5 | AUTONOMOUS NONPROFIT ORGANIZATION OF HIGHER EDUCATION INTERNATIONAL BANKING INSTITUTE | RU (ST. PETERSBURG) | partner | 0.00 |
6 | BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY | US (STANFORD) | partner | 0.00 |
7 | CARNEGIE MELLON UNIVERSITY | US (PITTSBURGH) | partner | 0.00 |
8 | ITMO UNIVERSITY | RU (ST PETERSBURG) | partner | 0.00 |
9 | NANYANG TECHNOLOGICAL UNIVERSITY | SG (SINGAPORE) | partner | 0.00 |
10 | NORTHEASTERN UNIVERSITY | US (BOSTON MA) | partner | 0.00 |
11 | Rensselaer Polytechnic Institute | US (Troy) | partner | 0.00 |
12 | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA | US (OAKLAND CA) | partner | 0.00 |
13 | University of Notre Dame du Lac | US (Notre Dame) | partner | 0.00 |
14 | UNIVERSITY OF TECHNOLOGY SYDNEY | AU (SYDNEY) | partner | 0.00 |
In today's world, access to information is a decisive factor advancing industry, society and even culture. It is therefore of great importance to understand why and how some information (e.g. some memes) spreads virally with great ease, while other is met with disinterest and omission. Uncovering the reasons may allow promoting important information, like warnings about cyber-attacks, while stifle harmful rumors, such as vaccines causing autism. The aim of the project is to treat the vast complexity of such information dynamics in social systems by involving researchers in social sciences, journalism, computing, data mining and complexity science. The Project’s objectives are: - discovery and reverse-engineering the mechanisms of information spreading in social media, such as dynamics of news releases, blog and internet for posts, Twitter messages, e-mails etc., - training and exchange of knowledge between partners in different domains coming from Warsaw University of Technology, Jozef Stefan Institute, Wroclaw University of Technology and leading world universities Stanford University, Rensselaer Polytechnic Institute, Nanyang Technological University, - bidirectional knowledge transfer between academia and media industry (Slovenian Press Agency) by exposing researchers to real-life problems and giving business access to innovative methods and tools for information analysis.
The project will be based on three pillars: data acquisition, data mining/machine learning and complex systems modeling. The specific problems addressed will include understanding rules of and predicting information spreading in different media and about different topics, finding information sources and uncovering hidden information channels.
The secondments will accelerate individual careers of involved researchers, especially early stage ones. The project will lay foundations for long-term collaboration by strengthening existing links between partners and creating new ones.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Wenyuan Liu, Stanisław Saganowski, Przemysław Kazienko, Siew Ann Cheong Predicting the Evolution of Physics Research from a Complex Network Perspective published pages: 1152, ISSN: 1099-4300, DOI: 10.3390/e21121152 |
Entropy 21/12 | 2020-02-27 |
2019 |
Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko, Grzegorz Miebs, Arkadiusz Rusin Priority Attachment: a Comprehensive Mechanism for Generating Networks published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-40015-9 |
Scientific Reports 9/1 | 2020-02-27 |
2020 |
Piotr Brodka, Katarzyna Musial, Jaroslaw Jankowski Interacting Spreading Processes in Multilayer Networks: A Systematic Review published pages: 10316-10341, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.2965547 |
IEEE Access 8 | 2020-02-27 |
2017 |
Z. Herga, C. Doyle, S. Dipple, C. Nasman, G. Korniss, B.K. Szymanski, J. Brank, J. Rupnik, and D. Mladenic Building Client’s Risk Profile Based on Call Detail Records published pages: , ISSN: , DOI: |
Proc SiKDD 2017 | 2020-02-27 |
2019 |
Sovan Saha, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri, Dariusz Plewczynski FunPred 3.0: improved protein function prediction using protein interaction network published pages: e6830, ISSN: 2167-8359, DOI: 10.7717/peerj.6830 |
PeerJ 7 | 2020-02-27 |
2019 |
Jan Chołoniewski, Julian Sienkiewicz, Gregor Leban, Janusz A. Hołyst Modeling of temporal fluctuation scaling in online news network with independent cascade model published pages: 129-144, ISSN: 0378-4371, DOI: 10.1016/j.physa.2019.02.035 |
Physica A: Statistical Mechanics and its Applications 523 | 2020-02-27 |
2019 |
Stanisław Saganowski, Piotr Bródka, Michał Koziarski, Przemysław Kazienko Analysis of group evolution prediction in complex networks published pages: e0224194, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0224194 |
PLOS ONE 14/10 | 2020-02-27 |
2018 |
Piotr Bródka, Anna Chmiel, Matteo Magnani, Giancarlo Ragozini Quantifying layer similarity in multiplex networks: a systematic study published pages: 171747, ISSN: 2054-5703, DOI: 10.1098/rsos.171747 |
Royal Society Open Science 5/8 | 2020-02-27 |
2018 |
Julian Sienkiewicz, Krzysztof Soja, Janusz A. Hołyst, Peter M. A. Sloot Categorical and Geographical Separation in Science published pages: 8253, ISSN: 2045-2322, DOI: 10.1038/s41598-018-26511-4 |
Scientific Reports 8/1 | 2020-02-27 |
2019 |
Grzegorz Siudem, Janusz A. Hołyst Diffusion on hierarchical systems of weakly-coupled networks published pages: 675-686, ISSN: 0378-4371, DOI: 10.1016/j.physa.2018.08.078 |
Physica A: Statistical Mechanics and its Applications 513 | 2020-02-27 |
2018 |
Jarosław Jankowski, Boleslaw K. Szymanski, Przemysław Kazienko, Radosław Michalski, Piotr Bródka Probing Limits of Information Spread with Sequential Seeding published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-32081-2 |
Scientific Reports 8/1 | 2020-02-27 |
2018 |
Małgorzata J. Krawczyk, Krzysztof Kułakowski, Janusz A. Hołyst Hierarchical partitions of social networks between rivaling leaders published pages: e0193715, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0193715 |
PLOS ONE 13/3 | 2020-02-27 |
2018 |
Marcin Kulisiewicz, Przemysław Kazienko, Boleslaw K. Szymanski, Radosław Michalski Entropy Measures of Human Communication Dynamics published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-32571-3 |
Scientific Reports 8/1 | 2020-02-27 |
2019 |
Michał Weskida, Radosław Michalski Finding influentials in social networks using evolutionary algorithm published pages: 77-85, ISSN: 1877-7503, DOI: 10.1016/j.jocs.2018.12.010 |
Journal of Computational Science 31 | 2020-02-27 |
2018 |
Mikołaj Morzy, Tomasz Kajdanowicz Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures published pages: 916, ISSN: 1099-4300, DOI: 10.3390/e20120916 |
Entropy 20/12 | 2020-02-27 |
2019 |
Szymanski, P., & Kajdanowicz, T. scikit-multilearn: A scikit-based Python environment for performing multi-label classification published pages: , ISSN: 1532-4435, DOI: |
Journal of Machine Learning Research 1-22 | 2020-02-27 |
2019 |
Å.G. Gajewski, K. Suchecki, J.A. HoÅ‚yst Multiple propagation paths enhance locating the source of diffusion in complex networks published pages: 34-41, ISSN: 0378-4371, DOI: 10.1016/j.physa.2018.12.012 |
Physica A: Statistical Mechanics and its Applications 519 | 2020-02-27 |
2018 |
Biecek, Przemyslaw DALEX: explainers for complex predictive models published pages: 3245-3249, ISSN: 1532-4435, DOI: |
The Journal of Machine Learning Research 19,1 | 2020-02-27 |
2016 |
Mikołaj Morzy, Tomasz Kajdanowicz, Bolesław K. Szymański Benford’s Distribution in Complex Networks published pages: , ISSN: 2045-2322, DOI: 10.1038/srep34917 |
Scientific Reports 6/1 | 2020-02-27 |
2017 |
J. Toruniewska, K. Kułakowski, K. Suchecki, J. A. Hołyst Coupling of link- and node-ordering in the coevolving voter model published pages: 42306, ISSN: 2470-0045, DOI: 10.1103/PhysRevE.96.042306 |
Physical Review E 96/4 | 2020-02-27 |
2017 |
Roman Bartusiak, Åukasz Augustyniak, Tomasz Kajdanowicz, PrzemysÅ‚aw Kazienko, Maciej Piasecki WordNet2Vec: Corpora agnostic word vectorization method published pages: , ISSN: 0925-2312, DOI: 10.1016/j.neucom.2017.01.121 |
Neurocomputing | 2020-02-27 |
2018 |
Robert Paluch, Xiaoyan Lu, Krzysztof Suchecki, Bolesław K. Szymański, Janusz A. Hołyst Fast and accurate detection of spread source in large complex networks published pages: 2508, ISSN: 2045-2322, DOI: 10.1038/s41598-018-20546-3 |
Scientific Reports 8/1 | 2020-02-27 |
2017 |
Fredrik Erlandsson, Piotr Bródka, Martin Boldt, Henric Johnson Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method published pages: 686, ISSN: 1099-4300, DOI: 10.3390/e19120686 |
Entropy 19/12 | 2020-02-27 |
2016 |
Å.G. Gajewski, J. ChoÅ‚oniewski, J.A. HoÅ‚yst Key Courses of Academic Curriculum Uncovered by Data Mining of Students\' Grades published pages: 1071-1076, ISSN: 0587-4246, DOI: 10.12693/APhysPolA.129.1071 |
Acta Physica Polonica A 129/5 | 2020-02-27 |
2017 |
Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy published pages: 1-12, ISSN: 1076-2787, DOI: 10.1155/2017/3250301 |
Complexity 2017 | 2020-02-27 |
2017 |
Jarosław Jankowski, Piotr Bródka, Przemysław Kazienko, Boleslaw K. Szymanski, Radosław Michalski, Tomasz Kajdanowicz Balancing Speed and Coverage by Sequential Seeding in Complex Networks published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-00937-8 |
Scientific Reports 7/1 | 2020-02-27 |
2017 |
Tomasz Trzcinski, Adam Bielski, Pawel Cyrta, Matthew Zak SocialML: machine learning for social media video creators published pages: , ISSN: , DOI: |
Neural Information Processing Systems Conference (NIPS) 2017 - Workshop on Machine Learning for Creativity and Design | 2020-02-27 |
2016 |
Piotr Szymański, Tomasz Kajdanowicz, Kristian Kersting How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification? published pages: 282, ISSN: 1099-4300, DOI: 10.3390/e18080282 |
Entropy 18/8 | 2020-02-27 |
2017 |
Jarosław Jankowski, Radosław Michalski, Piotr Bródka A multilayer network dataset of interaction and influence spreading in a virtual world published pages: 170144, ISSN: 2052-4463, DOI: 10.1038/sdata.2017.144 |
Scientific Data 4 | 2020-02-27 |
2017 |
Anna Chmiel, Julian Sienkiewicz, Katarzyna Sznajd-Weron Tricriticality in the q -neighbor Ising model on a partially duplex clique published pages: 62137, ISSN: 2470-0045, DOI: 10.1103/PhysRevE.96.062137 |
Physical Review E 96/6 | 2020-02-27 |
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The information about "RENOIR" are provided by the European Opendata Portal: CORDIS opendata.