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1.
Segregation dynamics driven by network leaders
Wen-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: 58; Prenosov: 2
.pdf Celotno besedilo (3,18 MB)
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2.
Integrating social dimensions into future sustainable energy supply networks
Matevž 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: 237; Prenosov: 8
.pdf Celotno besedilo (1,60 MB)
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3.
Social networks as a medium for establishing long-term relationships between customers and brands
Matija Županić, 2018, magistrsko delo

Opis: Social networks have become a big part of our everyday life. They have shaped our everyday lives, the way we communicate, express ourselves and the way we think. The main idea of this research is to explore and show to what extent and in what way do social networks facilitate the promotion of brands among younger users/audience, and what is their role in building a long-term relationship between the customer and the brand
Ključne besede: social networks, branding, establishing relationships between a costumer and a brand
Objavljeno v DKUM: 26.06.2018; Ogledov: 1303; Prenosov: 102
.pdf Celotno besedilo (2,24 MB)

4.
The influence of social networking sites on recruiting human resources in the Czech republic
Lucie 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: 1347; Prenosov: 365
.pdf Celotno besedilo (565,95 KB)
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5.
Determinants of public cooperation in multiplex networks
Federico 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: 1201; Prenosov: 382
.pdf Celotno besedilo (1,05 MB)
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6.
Link prediction in multiplex online social networks
Mahdi Jalili, Yasin Orouskhani, Milad Asgari, Nazanin Alipourfard, Matjaž Perc, 2017, izvirni znanstveni članek

Opis: Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.
Ključne besede: social networks, complex networks, signed networks, link prediction, machine learning
Objavljeno v DKUM: 08.08.2017; Ogledov: 1528; Prenosov: 456
.pdf Celotno besedilo (940,17 KB)
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7.
Opinions and behavior of students in social aspects of internet use in Serbia and Slovenia
Borislav Josanov, Andreja Pucihar, Ivana Jošanov-Vrgović, 2014, izvirni znanstveni članek

Opis: Rapid involvement of Internet infrastructure and services brought a lot of new products based on information and communication technologies. In the focus of world's social interest at this time are social networks and WikiLeaks and their abuse. In this paper authors analyze opinions and behaviour of students at Novi Sad Business School, Serbia, and Faculty of Organizational Sciences in Kranj, Slovenia. This research focuses on different kinds of abuse of social networks and WikiLeaks. Results are presented and analyzed according to the place where examinees study. Conclusions about the differences found between the above-mentioned two groups are compared to the social states and events in these 2 countries which officially separated 25 years ago.
Ključne besede: social networks, abuse, students, Slovenia, Serbia, WikiLeaks
Objavljeno v DKUM: 24.07.2017; Ogledov: 1138; Prenosov: 149
.pdf Celotno besedilo (737,63 KB)
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8.
Opinions and behavior of students about abuse of internet in social involvments : gender analysis
Borislav Josanov, Andreja Pucihar, Ivana Jošanov-Vrgović, Zoran Marošan, 2016, izvirni znanstveni članek

Opis: New Internet technologies brought new gamma of interests worldwide. In the focus of people are social networks, main usage and the abuse of Internet usage. Authors analyze the group of students in Higher School for Professional Business Studies in in Novi Sad, Serbia, and in Faculty of Organizational Sciences Kranj, Slovenia. In the focus of this research are opinions and behavior of students about social aspects of Internet general usage, and specificly opinions about social networks and WikiLeaks. This paper is the succesor of the sross-cultural research that was presented in this journal with the same data two years ago, but structured diferently, acording to the location where they were taken. Results of this research are analyzed and presented according to the gender of examinees.
Ključne besede: social networks, internet, gender, abuse, students, WikiLeaks
Objavljeno v DKUM: 24.07.2017; Ogledov: 1022; Prenosov: 217
.pdf Celotno besedilo (550,09 KB)
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9.
Self-organization towards optimally interdependent networks by means of coevolution
Zhen Wang, Attila Szolnoki, Matjaž Perc, 2014, izvirni znanstveni članek

Opis: Coevolution between strategy and network structure is established as a means to arrive at the optimal conditions needed to resolve social dilemmas. Yet recent research has highlighted that the interdependence between networks may be just as important as the structure of an individual network. We therefore introduce the coevolution of strategy and network interdependence to see whether this can give rise to elevated levels of cooperation in the prisonerʼs dilemma game. We show that the interdependence between networks self-organizes so as to yield optimal conditions for the evolution of cooperation. Even under extremely adverse conditions, cooperators can prevail where on isolated networks they would perish. This is due to the spontaneous emergence of a two-class society, with only the upper class being allowed to control and take advantage of the interdependence. Spatial patterns reveal that cooperators, once arriving at the upper class, are much more competent than defectors in sustaining compact clusters of followers. Indeed, the asymmetric exploitation of interdependence confers to them a strong evolutionary advantage that may resolve even the toughest of social dilemmas.
Ključne besede: coevolution, cooperation, interdependent networks, evolutionary games, collective phenomena, self-organization, phase transitions, physics of social systems
Objavljeno v DKUM: 03.07.2017; Ogledov: 1283; Prenosov: 413
.pdf Celotno besedilo (887,51 KB)
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10.
Probabilistic sharing solves the problem of costly punishment
Xiaojie Chen, Attila Szolnoki, Matjaž Perc, 2014, izvirni znanstveni članek

Opis: Cooperators that refuse to participate in sanctioning defectors create the secondorder free-rider problem. Such cooperators will not be punished because they contribute to the public good, but they also eschew the costs associated with punishing defectors. Altruistic punishers - those that cooperate and punish - are at a disadvantage, and it is puzzling how such behaviour has evolved. We show that sharing the responsibility to sanction defectors rather than relying on certain individuals to do so permanently can solve the problem of costly punishment. Inspired by the fact that humans have strong but also emotional tendencies for fair play, we consider probabilistic sanctioning as the simplest way of distributing the duty. In well-mixed populations the public goods game is transformed into a coordination game with full cooperation and defection as the two stable equilibria, while in structured populations pattern formation supports additional counterintuitive solutions that are reminiscent of Parrondoʼs paradox.
Ključne besede: social dynamics, networks, punishment, public goods, econophysics
Objavljeno v DKUM: 03.07.2017; Ogledov: 1221; Prenosov: 412
.pdf Celotno besedilo (1,52 MB)
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