New article “Fast and accurate detection of spread source in large complex networks”

The joint work of our teams from WUT and RPI resulted in an article “Fast and accurate detection of spread source in large complex networks” published in Scientific Reports. Spread over complex networks is a ubiquitous process with increasingly wide applications. Locating spread sources is often important, e.g. finding the patient one in epidemics, or […]

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

New WUT publication entitled Tricriticality in the q-neighbor Ising model on a partially duplex clique by Anna Chmiel, Julek Sienkiewicz and Katrzyna Sznajd-Weron in Physical Review E. The nature of transitions between fully ordered and disordered states is usually the pinnacle of the dynamics of opinions. The other important feature is the structure of the underlying […]

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Data Science Day at Wroclaw University of Science and Technology

Wroclaw University of Science and Technology (WUST) organized a Data Science Day. Prof. Nitesh Chawla from the University of Notre Dame, USA (the RENOIR partner) gave a great talk on “The Interdisciplinarity of Data Science: Advancing the Common Good” and other WUST staff members shared their ideas and experiences related to data science. Over 100 […]

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Invited talk by Przemysław Kazienko at University of Notre Dame, USA

Przemysław Kazienko from Wroclaw University of Science and Technology (WUST), the leader of ENGINE – The European Centre for Data Science gave an invited talk on “Perception-based temporal social networks” in the Interdisciplinary Center for Network Science and Applications (iCeSNA, http://icensa.com/) established by Laszlo Barabasi at the University of Notre Dame (UND), South Bend, IN, USA. […]

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Paper on User-Guided Social Media Crawling Method

Piotr Bródka, Renoir project member together with his colleagues from Blekinge Institute of Technology have published a paper “Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method” With the growing use of popular social media services like Facebook and Twitter, it is challenging to collect all content from the […]

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Lecture: Finding Sources in Spreading Processes at RPI

Dr. Krzysztof Suchecki from the Warsaw University of Technology delivered a lecture entitled Finding Sources in Spreading Processes at the joint colloquium of the NeST Center and the computer science department of the Rensselaer Polytechnic Institute(RPI). He was introduced by Boleslaw Szymanski, the Claire and Roland Schmitt Distinguished Professor of Computer Science at the RPI. Please follow and […]

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STA journalists visiting RPI

Journalists from the Slovenian Press Agency, STA presented their work on the Renoir project at the Social Cognitive Network Academic Research Center (SCNARC) of the Rensselaer Polytechnic Institute as part of their one-month secondment in November. Please follow and like us:

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New publication in Neurocomputing related to Word Vectorization

Scientists from the RENOIR project: Roman Bartusiak, Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko in collaboration with Maciej Piasecki have published a paper “WordNet2Vec: Corpora Agnostic Word Vectorization Method” in Neurocomputing (IF=3.317). A complex nature of big data resources demands new methods for structuring especially for textual content. WordNet is a good knowledge source for comprehensive […]

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Visit of RENOIR staff members at RPI, USA

Two RENOIR staff members and Ph.D. students from the ENGINE Centre: Marcin Kulisiewicz and Rajmund Klemiński, during their secondments at Rensselaer Polytechnic Institute (RPI) presented their recent research results to the international community from Social Cognitive Networks Academic Research Center (SCNARC). Marcin Kulisiewicz clarified two new concepts: new temporal, social network model – PerSoNet and […]

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Keynote talk at BESC 2017 by Przemysław Kazienko

Przemysław Kazienko, the ENGINE leader, gave a keynote talk on “Computational Network Science: from Data to Social Models” at BESC 2017 – the 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, in Krakow, Poland, October 16-18, 2017. Please follow and like us:

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