1. Processed food intake assortativity in the personal networks of older adultsMarian-Gabriel Hâncean, Jürgen Lerner, Matjaž Perc, José Luis Molina González, Marius Geanta, Iulian Oană, Bianca-Elena Mihǎilǎ, 2025, izvirni znanstveni članek Opis: Existing research indicates that dietary habits spread through social networks, yet the impact on populations in Eastern Europe, particularly in rural areas, is less understood. We examine the influence of personal networks on the consumption of high-salt processed foods among individuals in rural Romania, with a specific focus on older adults. Using a personal network analysis, we analyze data from 83 participants of varying ages and their social contacts through multi-level regression models. The inclusion of participants across a wider age range allows us to capture the broader dynamics of social networks, reflecting the intergenerational nature of rural communities. Our findings reveal assortativity in dietary habits, indicating that individuals cluster with others who share similar food consumption patterns. Our results underscore the need for public health interventions that account for the influence of social networks on dietary behavior, as addressing high salt intake and its associated health risks may require considering the broader social context beyond older adults. The study contributes to understanding the social determinants of dietary behaviors and highlights the role of personal networks in shaping food choices in vulnerable populations. Ključne besede: processed food, older adults, social networks, assortativity, Romania, Eastern Europe Objavljeno v DKUM: 31.03.2025; Ogledov: 0; Prenosov: 3
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2. Reasons for Facebook usage : data from 46 countriesMarta Kowal, Piotr Sorokowski, Agnieszka Sorokowska, Małgorzata Dobrowolska, Katarzyna Pisanski, Anna Oleszkiewicz, Toivo Aavik, Grace Akello, Charlotte Alm, Naumana Amjad, Maja Zupančič, Tina Kavčič, Bojan Musil, Nejc Plohl, Afifa Anjum, Kelly Asao, Chiemezie Atama, Derya Atamtürk Duyar, Richard Ayebare, Mons Bendixen, Aicha Bensafia, Boris Bizumic, Mahmoud Boussena, David M. Buss, Marina Butovskaya, Seda Can, Katarzyna Cantarero, Antonin Carrier, Hakan Cetinkaya, Daniel Conroy-Beam, Marco A. C. Varella, Rosa M. Cueto, Marcin Czub, Daria Dronova, Seda Dural, Izzet Duyar, Berna Ertugrul, Agustín Espinosa, Ignacio Estevan, Carla S. Esteves, Tomasz Frackowiak, Jorge Contreras-Graduño, Farida Guemaz, Ivana Hromatko, Chin-Ming Hui, Iskra Herak, Jas L. Jaafar, Feng Jiang, Konstantinos Kafetsios, Leif Edward Ottesen Kennair, Nicolas Kervyn, Nils C. Köbis, András Láng, Georgina R. Lennard, Ernesto León, Torun Lindholm, Giulia Lopez, Mohammad Madallh Alhabahba, Alvaro Mailhos, Zoi Manesi, Rocío Martínez, Sarah L. McKerchar, Norbert Meskó, Girishwar Misra, Hoang Moc Lan, Conal Monaghan, Emanuel C. Mora, Alba Moya Garófano, George Nizharadze, Elisabeth Oberzaucher, Mohd S. Omar Fauzee, Ike E. Onyishi, Baris Özener, Ariela F. Pagani, Vilmante Pakalniskiene, Miriam Parise, Farid Pazhoohi, Mariia Perun, Annette Pisanski, Camelia Popa, Pavol Prokop, Muhammad Rizwan, Mario Sainz, Svjetlana Salkicević, Ruta Sargautyte, Susanne Schmehl, Oksana Senyk, Rizwana Shaikh, Shivantika Sharad, Franco Simonetti, Meri Tadinac, Truong Thi Khanh Ha, Trinh Thi Linh, Karina Ugalde González, Nguyen Van Luot, Christin-Melanie Vauclair, Luis D. Vega, Gyesook Yoo, Stanislava Yordanova Stoyanova, Zainab F. Zadeh, 2020, drugi znanstveni članki Ključne besede: online social networks, Facebook, cross cultural psychology, cross cultural differences, human sex differences, age differences, motives Objavljeno v DKUM: 27.01.2025; Ogledov: 0; Prenosov: 8
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3. Impact of inter-city interactions on disease scalingNathalia A. Loureiro, Camilo R. Neto, Jack Sutton, Matjaž Perc, Haroldo V. Ribeiro, 2025, izvirni znanstveni članek Opis: Inter-city interactions are critical for the transmission of infectious diseases, yet their effects on the scaling of disease cases remain largely underexplored. Here, we use the commuting network as a proxy for inter-city interactions, integrating it with a general scaling framework to describe the incidence of seven infectious diseases across Brazilian cities as a function of population size and the number of commuters. Our models significantly outperform traditional urban scaling approaches, revealing that the relationship between disease cases and a combination of population and commuters varies across diseases and is influenced by both factors. Although most cities exhibit a less-than-proportional increase in disease cases with changes in population and commuters, more-than-proportional responses are also observed across all diseases. Notably, in some small and isolated cities, proportional rises in population and commuters correlate with a reduction in disease cases. These findings suggest that such towns may experience improved health outcomes and socioeconomic conditions as they grow and become more connected. However, as growth and connectivity continue, these gains diminish, eventually giving way to challenges typical of larger urban areas - such as socioeconomic inequality and overcrowding - that facilitate the spread of infectious diseases. Our study underscores the interconnected roles of population size and commuter dynamics in disease incidence while highlighting that changes in population size exert a greater influence on disease cases than variations in the number of commuters. Ključne besede: complex networks, statistical physics, interactions between cities, disease scaling, social physics Objavljeno v DKUM: 09.01.2025; Ogledov: 0; Prenosov: 4
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4. Evolutionary games on multilayer networks : a colloquiumZhen Wang, Lin Wang, Attila Szolnoki, Matjaž Perc, 2015, pregledni znanstveni članek Opis: Networks form the backbone of many complex systems, ranging from the Internet to human societies. Accordingly, not only is the range of our interactions limited and thus best described and modeled by networks, it is also a fact that the networks that are an integral part of such models are often interdependent or even interconnected. Networks of networks or multilayer networks are therefore a more apt description of social systems. This colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies. We first give an overview of the most significant conceptual differences between single-layer and multilayer networks, and we provide basic definitions and a classification of the most commonly used terms. Subsequently, we review fascinating and counterintuitive evolutionary outcomes that emerge due to different types of interdependencies between otherwise independent populations. The focus is on coupling through the utilities of players, through the flow of information, as well as through the popularity of different strategies on different network layers. The colloquium highlights the importance of pattern formation and collective behavior for the promotion of cooperation under adverse conditions, as well as the synergies between network science and evolutionary game theory. Ključne besede: kooperacija, sociološke mreže, evolucijske igre, kolektivni pojav, samo-organizacija, fazni prehodi, recipročnost, fizika socioloških sistemov, cooperation, social networks, evolutionary games, collective phenomena, self-organization, phase transitions, reciprocity, physics of social systems Objavljeno v DKUM: 17.09.2024; Ogledov: 0; Prenosov: 2
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5. Universal productivity patterns in research careersAndre S. Sunahara, Matjaž Perc, Haroldo V. Ribeiro, 2023, izvirni znanstveni članek Opis: A common expectation is that career productivity peaks rather early and then gradually declines with seniority. But whether this holds true is still an open question. Here we investigate the productivity trajectories of almost 8500 scientists from over 50 disciplines using methods from time-series analysis, dimensionality reduction, and network science, showing that there exist six universal productivity patterns in research. Based on clusters of productivity trajectories and network representations where researchers with similar productivity patterns are connected, we identify constant, u-shaped, decreasing, periodic-like, increasing, and canonical productivity patterns, with the latter two describing almost three-fourths of researchers. In fact, we find that canonical curves are the most prevalent, but contrary to expectations, productivity peaks occur much more frequently around midcareer rather than early. These results outline the boundaries of possible career paths in science and caution against the adoption of stereotypes in tenure and funding decisions. Ključne besede: scientific networks, research career, social physics, universality Objavljeno v DKUM: 13.09.2024; Ogledov: 38; Prenosov: 7
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6. Segregation dynamics driven by network leadersWen-Xuan Wang, Yuhao Feng, Siru Chen, Wenzhe Xu, Xinjian Zhuo, Huijia Li, Matjaž Perc, 2022, izvirni znanstveni članek Opis: Network segregation - a critical problem in real-life networks - can reveal the emergence of conflicts or signal an impending collapse of the whole system. However, the strong heterogeneity of such networks and the various definitions for key nodes continue to pose challenges that limit our ability to foresee segregation and to determine the main drivers behind it. In this paper, we show that a multi-agent leader-follower consensus system can be utilized to define a new index, named leadership, to identify key leaders in real-life networks. And then, this paper explores the emergence of network segregation that is driven by these leaders based on the removal or the rewiring of the relations between different nodes in agreement with their contribution distance. We finally show that the observed leaders-driven segregation dynamics reveals the dynamics of heterogeneous attributes that critically influence network structure and its segregation. Thus, this paper provides a theoretical method to study complex social interactions and their roles in network segregation, which ultimately leads to a closed-form explanation for the emergence of imbalanced network structure from an evolutionary perspective. Ključne besede: complex networks, network segregation, multi-agent leader–follower consensus system, key leaders identification, leader, segregation, social physics Objavljeno v DKUM: 08.07.2024; Ogledov: 122; Prenosov: 24
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7. Integrating social dimensions into future sustainable energy supply networksMatevž Obrecht, Yigit Kazancoglu, Matjaž Denac, 2020, izvirni znanstveni članek Opis: Environmental protection and sustainable development have become an inevitable trend in many areas, including the energy industry. The development of energy supply networks is strongly correlated with the economics of energy sources as well as ecological and socio-political issues. However, the energy supply network is often distant from the social perspective. This paper therefore combines examination of perceptions and awareness of general public (web-based questionnaire) and top energy experts (a Delphi survey) on the energy supply network and identifies their potential integration in energy supply decision making processes. The results showed that public should be better informed as well as integrated into designing energy supply network as the prosumers gain power and the energy suppliers will no longer dominate the market. Public actors are ready to shape sustainable energy supply and also willing to pay 5.8% more for a sustainable energy supply. The majority are prepared to invest in renewable energy supply network close to their place of residence. Another result is that the public is calling for a shift in priority towards more sustainable and socially friendlier energy supply rather than focusing mainly on the economic and technical perspectives. Ključne besede: energy supply, supply networks, sustainable energy, public perception, social integration, supply chain management Objavljeno v DKUM: 19.02.2024; Ogledov: 306; Prenosov: 28
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9. The influence of social networking sites on recruiting human resources in the Czech republicLucie Bohmova, Antonín Pavlíček, 2015, izvirni znanstveni članek Opis: Background: This paper is focused on the usage of social networking sites (SNS) for human resources departments in the process of hiring new employees. It also maps the development and influence of SNS on recruiter's behavior and customs. The main aim is to find out, whether SNS could/will replace traditional online job boards in the Czech Republic. The motivation for the research is to determine whether SNS can be used for serious and practical business purposes.
Methods: The paper presents authors’ empirical research with two interconnected instruments used for data collection: (1) Questionnaire with 15 questions devoted to usability, evaluation and comparison of SNS with job portals (N=286 HR specialists) and (2) Comparison of 3 online job advertising methods – job portals, SNS and business website.
Results: HR specialists regularly use publicly available information on candidates’ Facebook profiles. Similar results have been observed using both instruments. SNS's in the Czech Republic are not yet used by recruiters as the main tool for recruitment, however, are often used as a support tool for decision making in the final stage of recruitment. Use of SNS's by recruiters is universal; we have not found any significant differences in terms of demographics (men, women, old, young HR professionals). The rate of utilization of SNS's by recruiters in the Czech Republic is gradually increasing, but does not reach the US level.
Conclusion: Our findings confirm the rising importance of social networking sites (SNS) usage as a new recruiting technology. However, as a major player in the field of recruitment, job boards (eg. Jobs.cz) are still important. However, the expectation is that in the near future, this will change and SNS‘s may replace the job boards. Ključne besede: human resources, new trends, social networks, social networking site, SNS, job boards, competitive advantage Objavljeno v DKUM: 22.01.2018; Ogledov: 1395; Prenosov: 385
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10. Determinants of public cooperation in multiplex networksFederico Battiston, Matjaž Perc, Vito Latora, 2017, izvirni znanstveni članek Opis: Synergies between evolutionary game theory and statistical physics have significantly improved our understanding of public cooperation in structured populations. Multiplex networks, in particular, provide the theoretical framework within network science that allows us to mathematically describe the rich structure of interactions characterizing human societies. While research has shown that multiplex networks may enhance the resilience of cooperation, the interplay between the overlap in the structure of the layers and the control parameters of the corresponding games has not yet been investigated. With this aim, we consider here the public goods game on a multiplex network, and we unveil the role of the number of layers and the overlap of links, as well as the impact of different synergy factors in different layers, on the onset of cooperation. We show that enhanced public cooperation emerges only when a significant edge overlap is combined with at least one layer being able to sustain some cooperation by means of a sufficiently high synergy factor. In the absence of either of these conditions, the evolution of cooperation in multiplex networks is determined by the bounds of traditional network reciprocity with no enhanced resilience. These results caution against overly optimistic predictions that the presence of multiple social domains may in itself promote cooperation, and they help us better understand the complexity behind prosocial behavior in layered social systems. Ključne besede: cooperation, public goods, networks, physics of social systems Objavljeno v DKUM: 04.12.2017; Ogledov: 1271; Prenosov: 398
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