Search Results - "Sienkiewicz, Julian"

Modelling virus spreading in ride-pooling networks by Kucharski, Rafał, Cats, Oded, Sienkiewicz, Julian

“…Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than…”
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A Veritable Zoology of Successive Phase Transitions in the Asymmetric q -Voter Model on Multiplex Networks by Chmiel, Anna, Sienkiewicz, Julian, Fronczak, Agata, Fronczak, Piotr

“…We analyze a nonlinear -voter model with stochastic noise, interpreted in the social context as independence, on a duplex network. The size of the lobby (i.e.,…”
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Collective emotions online and their influence on community life by Chmiel, Anna, Sienkiewicz, Julian, Thelwall, Mike, Paltoglou, Georgios, Buckley, Kevan, Kappas, Arvid, Hołyst, Janusz A

“…E-communities, social groups interacting online, have recently become an object of interdisciplinary research. As with face-to-face meetings, Internet…”
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Impact of lexical and sentiment factors on the popularity of scientific papers by Sienkiewicz, Julian, Altmann, Eduardo G.

“…We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear…”
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Countering misinformation: A multidisciplinary approach by Gradoń, Kacper T, Hołyst, Janusz A., Moy, Wesley R, Sienkiewicz, Julian, Suchecki, Krzysztof

“…The article explores the concept of infodemics during the COVID-19 pandemic, focusing on the propagation of false or inaccurate information proliferating…”
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Networks of companies and branches in Poland by Chmiel, Anna M., Sienkiewicz, Julian, Suchecki, Krzysztof, Hołyst, Janusz A.

“…In the present study we consider relations between companies in Poland taking into account common branches they belong to. It is clear that companies belonging…”
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Statistical analysis of 22 public transport networks in Poland by Sienkiewicz, Julian, Hołyst, Janusz A

“…Public transport systems in 22 Polish cities have been analyzed. The sizes of these networks range from N = 152 to 2881. Depending on the assumed definition of…”
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Modeling of temporal fluctuation scaling in online news network with independent cascade model by Chołoniewski, Jan, Sienkiewicz, Julian, Leban, Gregor, Hołyst, Janusz A.

“…We show that activity of online news outlets follows a temporal fluctuation scaling law and we recover this feature using an independent cascade model…”
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Negative emotions boost user activity at BBC forum by Chmiel, Anna, Sobkowicz, Pawel, Sienkiewicz, Julian, Paltoglou, Georgios, Buckley, Kevan, Thelwall, Mike, Hołyst, Janusz A.

“…We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average…”
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Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation by Giziński, Stanisław, Kaczyńska, Paulina, Ruczyński, Hubert, Wiśnios, Emilia, Pieliński, Bartosz, Biecek, Przemysław, Sienkiewicz, Julian

“…There exists a growing discourse around the domination of Big Tech on the landscape of artificial intelligence (AI) research, yet our comprehension of this…”
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A calibrated measure to compare fluctuations of different entities across timescales by Chołoniewski, Jan, Sienkiewicz, Julian, Dretnik, Naum, Leban, Gregor, Thelwall, Mike, Hołyst, Janusz A.

“…A common way to learn about a system’s properties is to analyze temporal fluctuations in associated variables. However, conclusions based on fluctuations from…”
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Temporal Taylor’s scaling of facial electromyography and electrodermal activity in the course of emotional stimulation by Chołoniewski, Jan, Chmiel, Anna, Sienkiewicz, Julian, Hołyst, Janusz A., Küster, Dennis, Kappas, Arvid

“…•Taylor’s fluctuations scaling were observed in signals of human emotional systems.•fEMG and EDA signals exhibit power law for temporal fluctuation…”
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Categorical and Geographical Separation in Science by Sienkiewicz, Julian, Soja, Krzysztof, Hołyst, Janusz A., Sloot, Peter M. A.

“…We study scientific collaboration at the level of universities. The scope of this study is to answer two fundamental questions: (i) can one indicate a category…”
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Protect our environment from information overload by Hołyst, Janusz A., Mayr, Philipp, Thelwall, Michael, Frommholz, Ingo, Havlin, Shlomo, Sela, Alon, Kenett, Yoed N., Helic, Denis, Rehar, Aljoša, Maček, Sebastijan R., Kazienko, Przemysław, Kajdanowicz, Tomasz, Biecek, Przemysław, Szymanski, Boleslaw K., Sienkiewicz, Julian

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Growing spin model in deterministic and stochastic trees by Sienkiewicz, Julian

“…We solve the growing asymmetric Ising model [J. Sienkiewicz, K. Suchecki, and J. A. Hołyst, Phys. Rev. E 89, 012105 (2014)] in the topologies of deterministic…”
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q-neighbor Ising model on a polarized network by Chmiel, Anna, Sienkiewicz, Julian

“…In this paper, we examine the interplay between the lobby size $q$ in the $q$-neighbor Ising model of opinion formation [Phys. Rev. E {\bf 92}, 052105] and the…”
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Nonequilibrium phase transition due to isolation of communities by Sienkiewicz, Julian, Hołyst, Janusz A

“…We introduce a simple model of a growing system with m competing communities. The model corresponds to the phenomenon of defeats suffered by social groups…”
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Determining crucial factors for the popularity of scientific articles by Jankowski, Robert, Sienkiewicz, Julian

“…Acta Physica Polonica A 138(1), 41-47 (2020) Using a set of over 70.000 records from PLOS One journal consisting of 37 lexical, sentiment and bibliographic…”
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Universal scaling of distances in complex networks by Hołyst, Janusz A, Sienkiewicz, Julian, Fronczak, Agata, Fronczak, Piotr, Suchecki, Krzysztof

“…Universal scaling of distances between vertices of Erdos-Rényi random graphs, scale-free Barabási-Albert models, science collaboration networks, biological…”
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Higher order clustering coefficients in Barabási–Albert networks by Fronczak, Agata, Hołyst, Janusz A, Jedynak, Maciej, Sienkiewicz, Julian

“…Higher order clustering coefficients C( x) are introduced for random networks. The coefficients express probabilities that the shortest distance between any…”
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