Reverse EngiNeering of sOcial Information pRocessing

Informazioni relative al progetto

RENOIR

ID dell’accordo di sovvenzione: 691152

DOI

10.3030/691152

Progetto chiuso

Data della firma CE 28 Ottobre 2015

Data di avvio 1 Gennaio 2016

Data di completamento 31 Dicembre 2019

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 314 000,00

Contributo UE

€ 1 273 500,00

Coordinato da

POLITECHNIKA WARSZAWSKA
Poland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (18)

Midterm report on the training, sharing and dissemination of knowledge in RENOIR project

Models of information spreading

Progress report 2 month 36

Cross-lingual News Reporting Bias

Application and refinement of developed methods

Probabilistic Event Prediction

Minutes from the kick-off meeting along

Final report on the training, sharing and dissemination of knowledge in RENOIR project

Event based spread of influence and spread of innovation

Reporting Influences & Distractions

Report for the mid-term review

Learning Causal Templates

Relational learning and inference

Progress report 1 month 12

Final meeting report along with the summary of the Project

Report on inference methods for information spreading processes

Modelling Information Diffusion with Barriers

Models of event dynamics

Demonstrators, pilots, prototypes (4)

Training materials on Data Infrastructure

Meta-Data annotation and Adapters tool for Data Sources

Final Data Storage infrastructure and Access

Early Data Storage infrastructure and Access

Pubblicazioni

Peer reviewed articles (28)

Coupling of link- and node-ordering in the coevolving voter model

Autori: J. Toruniewska, K. Kułakowski, K. Suchecki, J. A. Hołyst
Pubblicato in: Physical Review E, Numero 96/4, 2017, Pagina/e 042306, ISSN 2470-0045
Editore: American Physical Society
DOI: 10.1103/PhysRevE.96.042306

WordNet2Vec: Corpora agnostic word vectorization method

Autori: Roman Bartusiak, Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko, Maciej Piasecki
Pubblicato in: Neurocomputing, 2017, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2017.01.121

On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy

Autori: Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko
Pubblicato in: Complexity, Numero 2017, 2017, Pagina/e 1-12, ISSN 1076-2787
Editore: John Wiley & Sons Inc.
DOI: 10.1155/2017/3250301

Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method

Autori: Fredrik Erlandsson, Piotr Bródka, Martin Boldt, Henric Johnson
Pubblicato in: Entropy, Numero 19/12, 2017, Pagina/e 686, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e19120686

Tricriticality in the q -neighbor Ising model on a partially duplex clique

Autori: Anna Chmiel, Julian Sienkiewicz, Katarzyna Sznajd-Weron
Pubblicato in: Physical Review E, Numero 96/6, 2017, Pagina/e 062137, ISSN 2470-0045
Editore: Physical Review E
DOI: 10.1103/PhysRevE.96.062137

Fast and accurate detection of spread source in large complex networks

Autori: Robert Paluch, Xiaoyan Lu, Krzysztof Suchecki, Bolesław K. Szymański, Janusz A. Hołyst
Pubblicato in: Scientific Reports, Numero 8/1, 2018, Pagina/e 2508, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-018-20546-3

A multilayer network dataset of interaction and influence spreading in a virtual world

Autori: Jarosław Jankowski, Radosław Michalski, Piotr Bródka
Pubblicato in: Scientific Data, Numero 4, 2017, Pagina/e 170144, ISSN 2052-4463
Editore: Springer
DOI: 10.1038/sdata.2017.144

Quantifying layer similarity in multiplex networks: a systematic study

Autori: Piotr Bródka, Anna Chmiel, Matteo Magnani, Giancarlo Ragozini
Pubblicato in: Royal Society Open Science, Numero 5/8, 2018, Pagina/e 171747, ISSN 2054-5703
Editore: The Royal Society
DOI: 10.1098/rsos.171747

Categorical and Geographical Separation in Science

Autori: Julian Sienkiewicz, Krzysztof Soja, Janusz A. Hołyst, Peter M. A. Sloot
Pubblicato in: Scientific Reports, Numero 8/1, 2018, Pagina/e 8253, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-018-26511-4

Hierarchical partitions of social networks between rivaling leaders

Autori: Małgorzata J. Krawczyk, Krzysztof Kułakowski, Janusz A. Hołyst
Pubblicato in: PLOS ONE, Numero 13/3, 2018, Pagina/e e0193715, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0193715

Diffusion on hierarchical systems of weakly-coupled networks

Autori: Grzegorz Siudem, Janusz A. Hołyst
Pubblicato in: Physica A: Statistical Mechanics and its Applications, Numero 513, 2019, Pagina/e 675-686, ISSN 0378-4371
Editore: Elsevier BV
DOI: 10.1016/j.physa.2018.08.078

Probing Limits of Information Spread with Sequential Seeding

Autori: Jarosław Jankowski, Boleslaw K. Szymanski, Przemysław Kazienko, Radosław Michalski, Piotr Bródka
Pubblicato in: Scientific Reports, Numero 8/1, 2018, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-018-32081-2

Entropy Measures of Human Communication Dynamics

Autori: Marcin Kulisiewicz, Przemysław Kazienko, Boleslaw K. Szymanski, Radosław Michalski
Pubblicato in: Scientific Reports, Numero 8/1, 2018, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-018-32571-3

Multiple propagation paths enhance locating the source of diffusion in complex networks

Autori: Ł.G. Gajewski, K. Suchecki, J.A. Hołyst
Pubblicato in: Physica A: Statistical Mechanics and its Applications, Numero 519, 2019, Pagina/e 34-41, ISSN 0378-4371
Editore: Elsevier BV
DOI: 10.1016/j.physa.2018.12.012

Finding influentials in social networks using evolutionary algorithm

Autori: Michał Weskida, Radosław Michalski
Pubblicato in: Journal of Computational Science, Numero 31, 2019, Pagina/e 77-85, ISSN 1877-7503
Editore: Elsevier BV
DOI: 10.1016/j.jocs.2018.12.010

Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures

Autori: Mikołaj Morzy, Tomasz Kajdanowicz
Pubblicato in: Entropy, Numero 20/12, 2018, Pagina/e 916, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20120916

scikit-multilearn: A scikit-based Python environment for performing multi-label classification

Autori: Szymanski, P., & Kajdanowicz, T.
Pubblicato in: Journal of Machine Learning Research, Numero 1-22, 2019, ISSN 1532-4435
Editore: MIT Press
DOI: 10.5555/3322706.3322712

Modeling of temporal fluctuation scaling in online news network with independent cascade model

Autori: Jan Chołoniewski, Julian Sienkiewicz, Gregor Leban, Janusz A. Hołyst
Pubblicato in: Physica A: Statistical Mechanics and its Applications, Numero 523, 2019, Pagina/e 129-144, ISSN 0378-4371
Editore: Elsevier BV
DOI: 10.1016/j.physa.2019.02.035

FunPred 3.0: improved protein function prediction using protein interaction network

Autori: Sovan Saha, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri, Dariusz Plewczynski
Pubblicato in: PeerJ, Numero 7, 2019, Pagina/e e6830, ISSN 2167-8359
Editore: PeerJ
DOI: 10.7717/peerj.6830

DALEX: explainers for complex predictive models

Autori: Biecek, Przemyslaw
Pubblicato in: The Journal of Machine Learning Research, Numero 19,1, 2018, Pagina/e 3245-3249, ISSN 1532-4435
Editore: MIT Press
DOI: 10.5281/zenodo.3670940

Analysis of group evolution prediction in complex networks

Autori: Stanisław Saganowski, Piotr Bródka, Michał Koziarski, Przemysław Kazienko
Pubblicato in: PLOS ONE, Numero 14/10, 2019, Pagina/e e0224194, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0224194

Interacting Spreading Processes in Multilayer Networks: A Systematic Review

Autori: Piotr Brodka, Katarzyna Musial, Jaroslaw Jankowski
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 10316-10341, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2020.2965547

Priority Attachment: a Comprehensive Mechanism for Generating Networks

Autori: Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko, Grzegorz Miebs, Arkadiusz Rusin
Pubblicato in: Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-019-40015-9

Predicting the Evolution of Physics Research from a Complex Network Perspective

Autori: Wenyuan Liu, Stanisław Saganowski, Przemysław Kazienko, Siew Ann Cheong
Pubblicato in: Entropy, Numero 21/12, 2019, Pagina/e 1152, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e21121152

Benford’s Distribution in Complex Networks

Autori: Mikołaj Morzy, Tomasz Kajdanowicz, Bolesław K. Szymański
Pubblicato in: Scientific Reports, Numero 6/1, 2016, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/srep34917

Balancing Speed and Coverage by Sequential Seeding in Complex Networks

Autori: Jarosław Jankowski, Piotr Bródka, Przemysław Kazienko, Boleslaw K. Szymanski, Radosław Michalski, Tomasz Kajdanowicz
Pubblicato in: Scientific Reports, Numero 7/1, 2017, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-017-00937-8

How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

Autori: Piotr Szymański, Tomasz Kajdanowicz, Kristian Kersting
Pubblicato in: Entropy, Numero 18/8, 2016, Pagina/e 282, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e18080282

Key Courses of Academic Curriculum Uncovered by Data Mining of Students' Grades

Autori: Ł.G. Gajewski, J. Chołoniewski, J.A. Hołyst
Pubblicato in: Acta Physica Polonica A, Numero 129/5, 2016, Pagina/e 1071-1076, ISSN 0587-4246
Editore: Polska Akademia Nauk
DOI: 10.12693/APhysPolA.129.1071

Conference proceedings (10)

SocialML: machine learning for social media video creators

Autori: Tomasz Trzcinski, Adam Bielski, Pawel Cyrta, Matthew Zak
Pubblicato in: Neural Information Processing Systems Conference (NIPS) 2017 - Workshop on Machine Learning for Creativity and Design, 2017
Editore: none

Seed Selection for Information Cascade in Multilayer Networks

Autori: Fredrik Erlandsson, Piotr Brdóka, Anton Borg
Pubblicato in: Complex Networks & Their Applications VI. COMPLEX NETWORKS 2016 2017. Studies in Computational Intelligence, 2017, Pagina/e 426-436, ISBN 978-3-319-72149-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-72150-7_35

A Network Perspective on Stratification of Multi-Label Data

Autori: Piotr Szymanski, Tomasz Kajdanowicz
Pubblicato in: Proceedings of Machine Learning Research, Numero 2017, 2017, ISSN 1938-7228
Editore: Proceedings of Machine Learning Research

Identifying Promising Research Topics in Computer Science

Autori: Rajmund Klemiński, Przemyslaw Kazienko
Pubblicato in: Network Intelligence Meets User Centered Social Media Networks, 2018, Pagina/e 231-241, ISBN 978-3-319-90311-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-90312-5_16

Extracting Aspects Hierarchies using Rhetorical Structure Theory

Autori: Łukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Pubblicato in: Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence - ACAI 2018, 2018, Pagina/e 1-5, ISBN 9781450366250
Editore: ACM Press
DOI: 10.1145/3302425.3302479

Building Client’s Risk Profile Based on Call Detail Records

Autori: Z. Herga, C. Doyle, S. Dipple, C. Nasman, G. Korniss, B.K. Szymanski, J. Brank, J. Rupnik, and D. Mladenic
Pubblicato in: Proc SiKDD, Numero 2017, 2017
Editore: 2017

Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF

Autori: Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Pubblicato in: 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2019, Pagina/e 43-50, ISBN 978-1-7281-1488-0
Editore: IEEE
DOI: 10.1109/aike.2019.00016

Information flow between news articles: Slovene media case study

Autori: Jan Choloniewski, Gregor Leban, Sebastijan Macek, Aljosa Rehar
Pubblicato in: Informatica. An International Journal of Computing and Informatics, Numero Proceedings of the 19th International Multiconference INFORMATION SOCIETY – IS 2016, Volume D, 2016, Pagina/e 13-16, ISBN 978-961-264-100-9
Editore: "Laboratorij za umetno inteligenco, Institut ""Jožef Stefan"""

metMethod for Aspect-Based Sentiment Annotation Using Rhetorical Analysis

Autori: Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
Pubblicato in: Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Numero Proceedings, Part I, 2017, Pagina/e 772-781, ISBN 978-3-319-54472-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-54472-4_72

Seeds Buffering for Information Spreading Processes

Autori: Jarosław Jankowski, Piotr Bródka, Radosław Michalski, Przemysław Kazienko
Pubblicato in: Lecture Notes on Computer Science LNCS, Numero Springer, 2017., 2017, Pagina/e 628-641, ISBN 978-3-319-67216-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-67217-5_37

Book chapters (2)

Incremental Learning in Dynamic Networks for Node Classification

Autori: Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko
Pubblicato in: Network Intelligence Meets User Centered Social Media Networks, 2018, Pagina/e 133-142, ISBN 978-3-319-90311-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-90312-5_9

Siamese Generative Adversarial Privatizer for Biometric Data

Autori: Witold Oleszkiewicz, Peter Kairouz, Karol Piczak, Ram Rajagopal, Tomasz Trzciński
Pubblicato in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V, Numero 11365, 2019, Pagina/e 482-497, ISBN 978-3-030-20872-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-20873-8_31