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  1. 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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  2. 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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  3. 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

  4. 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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  5. 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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  7. 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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  8. 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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  9. 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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  11. 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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  12. 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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  14. 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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  17. 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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  18. 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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  19. 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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  23. 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

    Content type: Regular article

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  24. 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

    Content type: Regular article

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  25. 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

    Content type: Regular article

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  26. 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

    Content type: Regular article

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  30. 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

    Content type: Regular article

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  32. 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

    Content type: Regular article

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  33. 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

    Content type: Letter

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  34. 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

    Content type: Regular article

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  36. Understanding the importance of links in transmitting information in a network can provide ways to hinder or postpone ongoing dynamical phenomena like the spreading of epidemic or the diffusion of information....

    Authors: Qian Zhang, Márton Karsai and Alessandro Vespignani

    Citation: EPJ Data Science 2018 7:33

    Content type: Regular article

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  38. We investigate Bitcoin network observing transactions broadcasted into the network during a week from 04/05/2016 and then monitoring their inclusion into the blockchain during the following seven months.We unv...

    Authors: Giuseppe Pappalardo, Tiziana Di Matteo, Guido Caldarelli and Tomaso Aste

    Citation: EPJ Data Science 2018 7:30

    Content type: Regular article

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  39. In Latin America, shopping malls seem to offer an open, safe and democratic version of the public space. However, it is often difficult to quantitatively measure whether they indeed foster, hinder, or are neut...

    Authors: Mariano G. Beiró, Loreto Bravo, Diego Caro, Ciro Cattuto, Leo Ferres and Eduardo Graells-Garrido

    Citation: EPJ Data Science 2018 7:28

    Content type: Regular article

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  40. Very low birth weight (VLBW) infants require specialized care in neonatal intensive care units. In the United States (U.S.), such infants frequently are transferred between hospitals. Although these neonatal t...

    Authors: Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards, Lucy T. Greenberg and Jeffrey D. Horbar

    Citation: EPJ Data Science 2018 7:27

    Content type: Regular article

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  42. Social capital has been studied in economics, sociology and political science as one of the key elements that promote the development of modern societies. It can be defined as the source of capital that facili...

    Authors: Marco Mamei, Francesca Pancotto, Marco De Nadai, Bruno Lepri, Michele Vescovi, Franco Zambonelli and Alex Pentland

    Citation: EPJ Data Science 2018 7:25

    Content type: Regular article

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  43. Human mobility always had a great influence on the spreading of cultural, social and technological ideas. Developing realistic models that allow for a better understanding, prediction and control of such coupl...

    Authors: Nataša Djurdjevac Conrad, Luzie Helfmann, Johannes Zonker, Stefanie Winkelmann and Christof Schütte

    Citation: EPJ Data Science 2018 7:24

    Content type: Regular article

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  44. Subway and bus networks work as an integrated multiplex transportation system and play an indispensable role in modern big cities. Even though a variety of works have investigated the coupling dynamics of mult...

    Authors: Zhihao Zheng, Zhiren Huang, Fan Zhang and Pu Wang

    Citation: EPJ Data Science 2018 7:23

    Content type: Regular article

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  45. In this paper, we follow the short-ranged Syrian refugees’ migration to Lebanon as documented by the UNHCR. We propose a model inspired by the Debye–Hückel theory and show that it properly predicts the refugee...

    Authors: Sara Najem and Ghaleb Faour

    Citation: EPJ Data Science 2018 7:22

    Content type: regular article

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  47. Popularity prediction has been studied in diverse online contexts with demonstrable practical, sociological and technical benefit. Here, we add to the popularity prediction literature by studying the popularit...

    Authors: Christoph Trattner, Dominik Moesslang and David Elsweiler

    Citation: EPJ Data Science 2018 7:20

    Content type: Regular article

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  48. As users of mobile devices make phone calls, browse the web, or use an app, large volumes of data are routinely generated that are a potentially useful source for investigating human behavior in space. However...

    Authors: Luca Scherrer, Martin Tomko, Peter Ranacher and Robert Weibel

    Citation: EPJ Data Science 2018 7:19

    Content type: Regular article

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  49. As dominant factors driving human actions, personalities can be excellent indicators to predict the offline and online behavior of individuals. However, because of the great expense and inevitable subjectivity...

    Authors: Zhenkun Zhou, Ke Xu and Jichang Zhao

    Citation: EPJ Data Science 2018 7:18

    Content type: Regular article

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  • ISSN: 2193-1127 (electronic)