New joint publication of WUT and NTU

A joint work of WUT (J. Sienkiewicz, K. Soja and J. Hołyst) and NTU (P. Sloot) on science of science “Categorial and Geographical Separation in Science” has just appeared in Scientific Reports: https://www.nature.com/articles/s41598-018-26511-4. Abstract We study scientifc collaboration at the level of universities. The scope of this study is to answer two fundamental questions: (i) can […]

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New journalists secondments at WUT

Journalists from the Slovenian Press Agency, STA- Sara Erjavec Tekavec and Lea Udovč were seconded to Politechnika Warszawska between March 23rd and April 22nd as a part of the Renoir Project. In cooperation with Janek Chołoniewski, researcher at Warsaw University of Technology, they were testing tools to help analyze the diffusion of contents through Slovenian media. They also reported on the latest scientific publication […]

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Coordinator secondment to NTU

In March and April 2018,  Prof. Janusz Hołyst, RENOIR coordinator completed secondment to Nanyang Technical University.  He gave a lecture during NTU Winter School on Complexity Science. On the photo with Prof. Geoffrey West from Santa Fe Institute in USA.   Please follow and like us:

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Prof. Hołyst lecture at National University of Singapore

On 3rd April 2018 professor Janusz Hołyst, RENOIR coordinator gave an invited lecture at National University of Singapore. Below you will find a photo concerning the part of a lecture about diffusion on modular and hierarchical networks. Please follow and like us:

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RENOIR PhD student presentation at University California Davis

Piotr Górski, PhD student from Warsaw University of Technology gave a talk on 22 March during his four-month secondment at University of California at Davis. The title, abstract and 2 slides from the talk are available below. Title Modeling structural balance Abstract: During my talk I will consider the problem of structural balance (also called Heider balance) […]

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Alogorithm for fast and accurate detection of sources

Slovenian Press Agency, STA published an article on its website about a new algorithm that could potentially be used for the quick location of sources of fake news or rumours on social networks.  The new algorithm has been developed by Polish researchers as part of the RENOIR Project. The study, featuring researchers from Warsaw University of Technology, […]

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Presentations at University of California, Davis

Two WUST staff members: Przemysław Kazienko and Marcin Kulisiewicz, during their research stay at RENOIR partner – University of California, Davis presented their recent research results to the international research group led by Prof. Raissa D’Souza. Prof. Przemysław Kazienko gave a talk on “CogSNet: a cognition-driven temporal social network” on February 1, 2018, and on […]

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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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