Opendata, web and dolomites

RENOIR SIGNED

Reverse EngiNeering of sOcial Information pRocessing

Total Cost €

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EC-Contrib. €

0

Partnership

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 RENOIR project word cloud

Explore the words cloud of the RENOIR project. It provides you a very rough idea of what is the project "RENOIR" about.

mining    messages    media    modeling    spreads    blog    predicting    university    press    harmful    society    learning    agency    stanford    stifle    world    memes    treat    slovenian    omission    mechanisms    accelerate    industry    rensselaer    machine    decisive    secondments    autism    complexity    engineering    exposing    acquisition    virally    attacks    discovery    ones    pillars    understand    sources    journalism    computing    individual    vaccines    lay    bidirectional    met    rules    releases    mails    sciences    warnings    jozef    stage    links    giving    training    tools    cyber    life    spreading    foundations    internet    innovative    posts    coming    advancing    uncovering    transfer    news    twitter    careers    channels    some    reverse    polytechnic    nanyang    domains    causing    science    warsaw    dynamics    business    ease    disinterest    stefan    vast    culture    rumors    academia    exchange    technological    wroclaw    data    hidden    social    universities   

Project "RENOIR" data sheet

The following table provides information about the project.

Coordinator
POLITECHNIKA WARSZAWSKA 

Organization address
address: PLAC POLITECHNIKI 1
city: WARSZAWA
postcode: 00 661
website: http://www.pw.edu.pl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project objective

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.

 Publications

year authors and title journal last update
List of publications.
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 Ł.G. Gajewski, K. Suchecki, J.A. Hołyst
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, Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław 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 Ł.G. Gajewski, J. Chołoniewski, J.A. Hołyst
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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