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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

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

  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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

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

  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. Tourist flows in historical cities are continuously growing in a globalized world and adequate governance processes, politics and tools are necessary in order to reduce impacts on the urban livability and to g...

    Authors: Chiara Mizzi, Alessandro Fabbri, Sandro Rambaldi, Flavio Bertini, Nico Curti, Stefano Sinigardi, Rachele Luzi, Giulia Venturi, Micheli Davide, Giuliano Muratore, Aldo Vannelli and Armando Bazzani
    Citation: EPJ Data Science 2018 7:44
  26. Nowadays, Location-Based Social Networks (LBSN) collect a vast range of information which can help us to understand the regional dynamics (i.e. human mobility) across an entire city. LBSN provides unprecedente...

    Authors: Shakila Khan Rumi, Ke Deng and Flora Dilys Salim
    Citation: EPJ Data Science 2018 7:43
  27. It is well reported that long commutes have a large detrimental effect on people’s health and on the economy of cities. Interestingly, despite the strong impact on our daily lives, a simple way to measure the ...

    Authors: Caio Ponte, Hygor Piaget M. Melo, Carlos Caminha, José S. Andrade Jr. and Vasco Furtado
    Citation: EPJ Data Science 2018 7:42
  28. Customer retention is crucial in a variety of businesses as acquiring new customers is often more costly than keeping the current ones. As a consequence, churn prediction has attracted great attention from bot...

    Authors: Erdem Kaya, Xiaowen Dong, Yoshihiko Suhara, Selim Balcisoy, Burcin Bozkaya and Alex “Sandy” Pentland
    Citation: EPJ Data Science 2018 7:41
  29. A simple model, named the flow and jump model (FJM) is used for describing commuter fluxes at different distances. The model is based on a master equation which allows a local net probability flow and non-loca...

    Authors: Levente Varga, Géza Tóth and Zoltán Néda
    Citation: EPJ Data Science 2018 7:37
  30. In the hospitality industry, the room and apartment sharing platform of Airbnb has been accused of unfair competition. Detractors have pointed out the chronic lack of proper legislation. Unfortunately, there i...

    Authors: Giovanni Quattrone, Andrew Greatorex, Daniele Quercia, Licia Capra and Mirco Musolesi
    Citation: EPJ Data Science 2018 7:31
  31. According to personality psychology, personality traits determine many aspects of human behaviour. However, validating this insight in large groups has been challenging so far, due to the scarcity of multi-cha...

    Authors: Laura Alessandretti, Sune Lehmann and Andrea Baronchelli
    Citation: EPJ Data Science 2018 7:36
  32. Railways are a key infrastructure for any modern country. The reliability and resilience of this peculiar transportation system may be challenged by different shocks such as disruptions, strikes and adverse we...

    Authors: Bernardo Monechi, Pietro Gravino, Riccardo Di Clemente and Vito D. P. Servedio
    Citation: EPJ Data Science 2018 7:35

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