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EPJ Data Science
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  1. Many times the nodes of a complex network, whether deliberately or not, are aggregated for technical, ethical, legal limitations or privacy reasons. A common example is the geographic position: one may uncover...

    Authors: Yérali Gandica, Adeline Decuyper, Christophe Cloquet, Isabelle Thomas and Jean-Charles Delvenne

    Citation: EPJ Data Science 2020 9:6

    Content type: Regular article

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  3. We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series—termed the Discrete Shocklet Transform (DST)—and an associate...

    Authors: David Rushing Dewhurst, Thayer Alshaabi, Dilan Kiley, Michael V. Arnold, Joshua R. Minot, Christopher M. Danforth and Peter Sheridan Dodds

    Citation: EPJ Data Science 2020 9:3

    Content type: Regular article

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  4. Recent advances in the quantitative, computational methodology for the modeling and analysis of heterogeneous large-scale data are leading to new opportunities for understanding human behaviors and faculties, ...

    Authors: Doheum Park, Juhan Nam and Juyong Park

    Citation: EPJ Data Science 2020 9:2

    Content type: Regular article

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  5. Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-sca...

    Authors: Max Pellert, Simon Schweighofer and David Garcia

    Citation: EPJ Data Science 2020 9:1

    Content type: Regular article

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  8. The gravity law has been documented in many socioeconomic networks, which states that the flow between two nodes positively correlates with the strengths of the nodes and negatively correlates with the distanc...

    Authors: Li Wang, Jun-Chao Ma, Zhi-Qiang Jiang, Wanfeng Yan and Wei-Xing Zhou

    Citation: EPJ Data Science 2019 8:37

    Content type: Regular article

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  9. The steady growth of digitized historical information is continuously stimulating new different approaches to the fields of Digital Humanities and Computational Social Science. In this work we use Natural Lang...

    Authors: Lorenzo Lucchini, Sara Tonelli and Bruno Lepri

    Citation: EPJ Data Science 2019 8:36

    Content type: Regular article

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  10. Echo chambers in online social networks, in which users prefer to interact only with ideologically-aligned peers, are believed to facilitate misinformation spreading and contribute to radicalize political disc...

    Authors: Wesley Cota, Silvio C. Ferreira, Romualdo Pastor-Satorras and Michele Starnini

    Citation: EPJ Data Science 2019 8:35

    Content type: Regular article

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  11. This paper examines the population heterogeneity of travel behaviours from a combined perspective of individual actors and collective behaviours. We use a social media dataset of 652,945 geotagged tweets gener...

    Authors: Yuan Liao, Sonia Yeh and Gustavo S. Jeuken

    Citation: EPJ Data Science 2019 8:34

    Content type: Regular article

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  12. Scientific discoveries do not occur in vacuum but rather by connecting existing pieces of knowledge in new and creative ways. Mapping the relation and structure of scientific knowledge is therefore central to ...

    Authors: Matteo Chinazzi, Bruno Gonçalves, Qian Zhang and Alessandro Vespignani

    Citation: EPJ Data Science 2019 8:33

    Content type: Regular article

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  13. Systemic risk of financial institutions and sectoral companies relies on their inter-dependencies. The inter-connectivity of the financial networks has proven to be crucial to understand the propagation of def...

    Authors: Adrià Barja, Alejandro Martínez, Alex Arenas, Pablo Fleurquin, Jordi Nin, José J. Ramasco and Elena Tomás

    Citation: EPJ Data Science 2019 8:32

    Content type: Regular article

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  14. Reading remains a preferred leisure activity fueling an exceptionally competitive publishing market: among more than three million books published each year, only a tiny fraction are read widely. It is largely...

    Authors: Xindi Wang, Burcu Yucesoy, Onur Varol, Tina Eliassi-Rad and Albert-László Barabási

    Citation: EPJ Data Science 2019 8:31

    Content type: Regular article

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  15. Mobile phone data are a popular source of positioning information in many recent studies that have largely improved our understanding of human mobility. These data consist of time-stamped and geo-referenced co...

    Authors: Guangshuo Chen, Aline Carneiro Viana, Marco Fiore and Carlos Sarraute

    Citation: EPJ Data Science 2019 8:30

    Content type: Regular article

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  17. Prediction of traffic congestion is one of the core issues in the realization of smart traffic. Accurate prediction depends on understanding of interactions and correlations between different city locations. W...

    Authors: Shengmin Guo, Dong Zhou, Jingfang Fan, Qingfeng Tong, Tongyu Zhu, Weifeng Lv, Daqing Li and Shlomo Havlin

    Citation: EPJ Data Science 2019 8:28

    Content type: Regular article

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  19. Human mobility across national borders is a key phenomenon of our time. At the global scale, however, we still know relatively little about the structure and nature of such transnational movements. This study ...

    Authors: Lorenzo Gabrielli, Emanuel Deutschmann, Fabrizio Natale, Ettore Recchi and Michele Vespe

    Citation: EPJ Data Science 2019 8:26

    Content type: Regular article

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  20. Women are severely marginalized in software development, especially in open source. In this article we argue that disadvantage is more due to gendered behavior than to categorical discrimination: women are at ...

    Authors: Balazs Vedres and Orsolya Vasarhelyi

    Citation: EPJ Data Science 2019 8:25

    Content type: Regular article

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    The Correction to this article has been published in EPJ Data Science 2019 8:29

  24. Aggregate and systemic risk in complex systems are emergent phenomena depending on two properties: the idiosyncratic risk of the elements and the topology of the network of interactions among them. While a sig...

    Authors: Elisa Letizia and Fabrizio Lillo

    Citation: EPJ Data Science 2019 8:21

    Content type: Regular article

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  25. The growing importance of citation-based bibliometric indicators in shaping the prospects of academic careers incentivizes scientists to boost the numbers of citations they receive. Whereas the exploitation of...

    Authors: Weihua Li, Tomaso Aste, Fabio Caccioli and Giacomo Livan

    Citation: EPJ Data Science 2019 8:20

    Content type: Regular article

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  26. Due to the rise of communication technologies and economic globalization, modern large cities are becoming more and more interconnected and this phenomenon leads to an increasing synchronization in activities ...

    Authors: Lorenzo Candeago, Giulia Bertagnolli, Paolo Bosetti, Michele Vescovi, Francesco Sacco and Bruno Lepri

    Citation: EPJ Data Science 2019 8:19

    Content type: Regular article

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  28. The recent rise of the political extremism in Western countries has spurred renewed interest in the psychological and moral appeal of political extremism. Empirical support for the psychological explanation us...

    Authors: Meysam Alizadeh, Ingmar Weber, Claudio Cioffi-Revilla, Santo Fortunato and Michael Macy

    Citation: EPJ Data Science 2019 8:17

    Content type: Regular article

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  29. The power of the press to shape the informational landscape of a population is unparalleled, even now in the era of democratic access to all information outlets. However, it is known that news outlets (particu...

    Authors: Erick Elejalde, Leo Ferres and Rossano Schifanella

    Citation: EPJ Data Science 2019 8:16

    Content type: Regular article

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  30. Identifying influential nodes in a network is a fundamental issue due to its wide applications, such as accelerating information diffusion or halting virus spreading. Many measures based on the network topolog...

    Authors: Zakariya Ghalmane, Mohammed El Hassouni, Chantal Cherifi and Hocine Cherifi

    Citation: EPJ Data Science 2019 8:15

    Content type: Regular article

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  31. To complement traditional dietary surveys, which are costly and of limited scale, researchers have resorted to digital data to infer the impact of eating habits on people’s health. However, online studies are ...

    Authors: Luca Maria Aiello, Rossano Schifanella, Daniele Quercia and Lucia Del Prete

    Citation: EPJ Data Science 2019 8:14

    Content type: Regular article

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    The Data Descriptor to this article has been published in Scientific Data 2020 7:57

  32. During the past decades the importance of soft skills for labour market outcomes has grown substantially. This carries implications for labour market inequality, since previous research shows that soft skills ...

    Authors: Federica Calanca, Luiza Sayfullina, Lara Minkus, Claudia Wagner and Eric Malmi

    Citation: EPJ Data Science 2019 8:13

    Content type: Regular article

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  33. In this paper, to reveal the differences of gender-specific preference and the factors affecting potential mate choice in online dating, we analyze the users’ behavioral data of a large online dating site in C...

    Authors: Xixian Su and Haibo Hu

    Citation: EPJ Data Science 2019 8:12

    Content type: Regular article

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  35. In this paper we develop a methodology, based on Mutual Information and Transfer of Entropy, that allows to identify, quantify and map on a network the synchronization and anticipation relationships between fi...

    Authors: Mario Gutiérrez-Roig, Javier Borge-Holthoefer, Alex Arenas and Josep Perelló

    Citation: EPJ Data Science 2019 8:10

    Content type: Regular article

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  36. In human relations individuals’ gender and age play a key role in the structures and dynamics of their social arrangements. In order to analyze the gender preferences of individuals in interaction with others ...

    Authors: Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I. M. Dunbar and Kimmo Kaski

    Citation: EPJ Data Science 2019 8:9

    Content type: Regular article

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  37. The tendency of people to form socially cohesive groups that get together in urban spaces is a fundamental process that drives the formation of the social structure of cities. However, the challenge of collect...

    Authors: Matteo Zignani, Christian Quadri, Sabrina Gaito and Gian Paolo Rossi

    Citation: EPJ Data Science 2019 8:8

    Content type: Regular article

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  39. Religion is considered as a notable origin of interpersonal relations, as well as an effective and efficient tool to organize a huge number of people towards some challenging targets. At the same time, a belie...

    Authors: Jiantao Hu, Qian-Ming Zhang and Tao Zhou

    Citation: EPJ Data Science 2019 8:6

    Content type: Regular article

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  40. The diffusion of new information and communication technologies—social media in particular—has played a key role in social and political activism in recent decades. In this paper, we propose a theory-motivated...

    Authors: Ali Mert Ertugrul, Yu-Ru Lin, Wen-Ting Chung, Muheng Yan and Ang Li

    Citation: EPJ Data Science 2019 8:5

    Content type: Regular article

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  42. The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative measure used to express the perceived intensity of an earthquake in terms of damages. Accurate intensity reports are vital to e...

    Authors: Marcelo Mendoza, Bárbara Poblete and Ignacio Valderrama

    Citation: EPJ Data Science 2019 8:3

    Content type: Regular article

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  45. Social media data is widely analyzed in computational social science. Twitter, one of the largest social media platforms, is used for research, journalism, business, and government to analyze human behavior at...

    Authors: Jürgen Pfeffer, Katja Mayer and Fred Morstatter

    Citation: EPJ Data Science 2018 7:50

    Content type: Regular article

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  46. Cities are growing at a fast rate, and transportation networks need to adapt accordingly. To design, plan, and manage transportation networks, domain experts need data that reflect how people move from one pla...

    Authors: Eduardo Graells-Garrido, Diego Caro and Denis Parra

    Citation: EPJ Data Science 2018 7:49

    Content type: Regular article

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  47. Advancing our understanding of human behavior hinges on the ability of theories to unveil the mechanisms underlying such behaviors. Measuring the ability of theories and models to predict unobserved behaviors ...

    Authors: Sergio Cobo-López, Antonia Godoy-Lorite, Jordi Duch, Marta Sales-Pardo and Roger Guimerà

    Citation: EPJ Data Science 2018 7:48

    Content type: Regular article

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  • ISSN: 2193-1127 (electronic)

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