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  1. In this paper we investigate the regularities characterizing the temporal purchasing behavior of the customers of a retail market chain. Most of the literature studying purchasing behavior focuses on what cust...

    Authors: Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi and Fosca Giannotti

    Citation: EPJ Data Science 2018 7:6

    Content type: Regular article

    Published on:

  4. Preserving individual control over private information is one of the rising concerns in our digital society. Online social networks exist in application ecosystems that allow them to access data from other ser...

    Authors: David Garcia, Mansi Goel, Amod Kant Agrawal and Ponnurangam Kumaraguru

    Citation: EPJ Data Science 2018 7:3

    Content type: Regular article

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  5. Predictive models for human mobility have important applications in many fields including traffic control, ubiquitous computing, and contextual advertisement. The predictive performance of models in literature...

    Authors: Andrea Cuttone, Sune Lehmann and Marta C. González

    Citation: EPJ Data Science 2018 7:2

    Content type: Regular article

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  6. Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understanding of custome...

    Authors: Yongli Ren, Martin Tomko, Flora D Salim, Jeffrey Chan and Mark Sanderson

    Citation: EPJ Data Science 2018 7:1

    Content type: Regular article

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  7. Social networks are made out of strong and weak ties having very different structural and dynamical properties. But what features of human interaction build a strong tie? Here we approach this question from a ...

    Authors: Henry Navarro, Giovanna Miritello, Arturo Canales and Esteban Moro

    Citation: EPJ Data Science 2017 6:31

    Content type: Regular article

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  9. Emerging trends in the use of smartphones, online mapping applications, and social media, in addition to the geo-located data they generate, provide opportunities to trace users’ socio-economic activities in a...

    Authors: Lei Dong, Sicong Chen, Yunsheng Cheng, Zhengwei Wu, Chao Li and Haishan Wu

    Citation: EPJ Data Science 2017 6:29

    Content type: Regular article

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  10. The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding o...

    Authors: Andrew J Reagan, Christopher M Danforth, Brian Tivnan, Jake Ryland Williams and Peter Sheridan Dodds

    Citation: EPJ Data Science 2017 6:28

    Content type: Regular article

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  11. Understanding and modeling the mobility of individuals is of paramount importance for public health. In particular, mobility characterization is key to predict the spatial and temporal diffusion of human-trans...

    Authors: Gianni Barlacchi, Christos Perentis, Abhinav Mehrotra, Mirco Musolesi and Bruno Lepri

    Citation: EPJ Data Science 2017 6:27

    Content type: Regular article

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  13. The immense growth of the social Web, which has made a large amount of user data easily and publicly available, has opened a whole new spectrum for research in social behavioral sciences. However, as the volum...

    Authors: Vanessa Peña-Araya, Mauricio Quezada, Barbara Poblete and Denis Parra

    Citation: EPJ Data Science 2017 6:25

    Content type: Regular article

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  14. The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make...

    Authors: Graham McNeill, Jonathan Bright and Scott A Hale

    Citation: EPJ Data Science 2017 6:24

    Content type: Regular article

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  18. Contemporary collective action, much of which involves social media and other Internet-based platforms, leaves a digital imprint which may be harvested to better understand the dynamics of mobilization. Petiti...

    Authors: Taha Yasseri, Scott A Hale and Helen Z Margetts

    Citation: EPJ Data Science 2017 6:20

    Content type: Regular article

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  19. Existing studies have developed different indices based on various approaches including network connectivity, delay time and flow capacity, estimating the traffic reliability states from different angles. Howe...

    Authors: Limiao Zhang, Guanwen Zeng, Shengmin Guo, Daqing Li and Ziyou Gao

    Citation: EPJ Data Science 2017 6:19

    Content type: Regular article

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  20. The structure of scientific collaborations has been the object of intense study both for its importance for innovation and scientific advancement, and as a model system for social group coordination and format...

    Authors: Alice Patania, Giovanni Petri and Francesco Vaccarino

    Citation: EPJ Data Science 2017 6:18

    Content type: Regular article

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  21. Persistent homology (PH) is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of in...

    Authors: Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod and Heather A Harrington

    Citation: EPJ Data Science 2017 6:17

    Content type: Regular article

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  23. Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagra...

    Authors: Andrew G Reece and Christopher M Danforth

    Citation: EPJ Data Science 2017 6:15

    Content type: Regular article

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    The Erratum to this article has been published in EPJ Data Science 2017 6:21

  25. Social media expose millions of users every day to information campaigns - some emerging organically from grassroots activity, others sustained by advertising or other coordinated efforts. These campaigns cont...

    Authors: Onur Varol, Emilio Ferrara, Filippo Menczer and Alessandro Flammini

    Citation: EPJ Data Science 2017 6:13

    Content type: Regular article

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  27. A longitudinal mobile phone data that include both location and communication logs is analyzed to infer social influence in terms of ego-network effect in the commute mode choice. The results show that person’...

    Authors: Santi Phithakkitnukoon, Titipat Sukhvibul, Merkebe Demissie, Zbigniew Smoreda, Juggapong Natwichai and Carlos Bento

    Citation: EPJ Data Science 2017 6:11

    Content type: Regular article

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  28. The availability of big data recorded from massively multiplayer online role-playing games (MMORPGs) allows us to gain a deeper understanding of the potential connection between individuals’ network positions ...

    Authors: Wen-Jie Xie, Yan-Hong Yang, Ming-Xia Li, Zhi-Qiang Jiang and Wei-Xing Zhou

    Citation: EPJ Data Science 2017 6:10

    Content type: Regular article

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  29. Military populations present a small, unique community whose mental and physical health impacts the security of the nation. Recent literature has explored social media’s ability to enhance disease surveillance...

    Authors: Svitlana Volkova, Lauren E Charles, Josh Harrison and Courtney D Corley

    Citation: EPJ Data Science 2017 6:9

    Content type: Regular article

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  31. Propelled by a fast evolving landscape of techniques and datasets, data science is growing rapidly. Against this background, topological data analysis (TDA) has carved itself a niche for the analysis of datase...

    Authors: Alice Patania, Francesco Vaccarino and Giovanni Petri

    Citation: EPJ Data Science 2017 6:7

    Content type: Commentary

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  32. Humans interact through numerous communication channels to build and maintain social connections: they meet face-to-face, make phone calls or send text messages, and interact via social media. Although it is k...

    Authors: Enys Mones, Arkadiusz Stopczynski and Sune Lehmann

    Citation: EPJ Data Science 2017 6:6

    Content type: Regular article

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  33. Gender differences is a phenomenon around the world actively researched by social scientists. Traditionally, the data used to support such studies is manually obtained, often through surveys with volunteers. H...

    Authors: Willi Mueller, Thiago H Silva, Jussara M Almeida and Antonio AF Loureiro

    Citation: EPJ Data Science 2017 6:5

    Content type: Regular article

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  34. Most individuals in social networks experience a so-called Friendship Paradox: they are less popular than their friends on average. This effect may explain recent findings that widespread social network media ...

    Authors: Johan Bollen, Bruno Gonçalves, Ingrid van de Leemput and Guangchen Ruan

    Citation: EPJ Data Science 2017 6:4

    Content type: Regular article

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  35. Mobile phones are one of the fastest growing technologies in the developing world with global penetration rates reaching 90%. Mobile phone data, also called CDR, are generated everytime phones are used and rec...

    Authors: Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex ‘Sandy’ Pentland and Yves-Alexandre de Montjoye

    Citation: EPJ Data Science 2017 6:3

    Content type: Regular article

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    The Erratum to this article has been published in EPJ Data Science 2017 6:8

  36. The emerging domain of data-enabled science necessitates development of algorithms and tools for knowledge discovery. Human interaction with data through well-constructed graphical representation can take spec...

    Authors: Yazhen Jiang, Joseph D Skufca and Jie Sun

    Citation: EPJ Data Science 2017 6:2

    Content type: Regular article

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  37. Social networks require active relationship maintenance if they are to be kept at a constant level of emotional closeness. For primates, including humans, failure to interact leads inexorably to a decline in r...

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

    Citation: EPJ Data Science 2017 6:1

    Content type: Regular article

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  38. In recent times, a phenomenon that threatens the representative democracy of many developed countries is the low voter turnout. Voting Advice Applications (VAAs) are used to inform citizens about the political...

    Authors: Marilena Agathokleous and Nicolas Tsapatsoulis

    Citation: EPJ Data Science 2016 5:34

    Content type: Regular article

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  39. Many complex phenomena, from trait selection in biological systems to hierarchy formation in social and economic entities, show signs of competition and heterogeneous performance in the temporal evolution of t...

    Authors: José A Morales, Sergio Sánchez, Jorge Flores, Carlos Pineda, Carlos Gershenson, Germinal Cocho, Jerónimo Zizumbo, Rosalío F Rodríguez and Gerardo Iñiguez

    Citation: EPJ Data Science 2016 5:33

    Content type: Regular article

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  40. Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by Google searches can help us improve est...

    Authors: Ladislav Kristoufek, Helen Susannah Moat and Tobias Preis

    Citation: EPJ Data Science 2016 5:32

    Content type: Regular article

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  41. Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture’s evolution through its texts using a ‘big data’ lens. Our ability to communicate reli...

    Authors: Andrew J Reagan, Lewis Mitchell, Dilan Kiley, Christopher M Danforth and Peter Sheridan Dodds

    Citation: EPJ Data Science 2016 5:31

    Content type: Regular article

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  42. Predicting human mobility flows at different spatial scales is challenged by the heterogeneity of individual trajectories and the multi-scale nature of transportation networks. As vast amounts of digital trace...

    Authors: Mariano G Beiró, André Panisson, Michele Tizzoni and Ciro Cattuto

    Citation: EPJ Data Science 2016 5:30

    Content type: Regular article

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  44. Community detection techniques are widely used to infer hidden structures within interconnected systems. Despite demonstrating high accuracy on benchmarks, they reproduce the external classification for many r...

    Authors: Vasyl Palchykov, Valerio Gemmetto, Alexey Boyarsky and Diego Garlaschelli

    Citation: EPJ Data Science 2016 5:28

    Content type: Regular article

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  46. This paper introduces a data-driven methodology to study the historical evolution of mathematical thinking and its spatial spreading. To do so, we have collected and integrated data from different online acade...

    Authors: Floriana Gargiulo, Auguste Caen, Renaud Lambiotte and Timoteo Carletti

    Citation: EPJ Data Science 2016 5:26

    Content type: Regular article

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  48. Online social systems are multiplex in nature as multiple links may exist between the same two users across different social media. In this work, we study the geo-social properties of multiplex links, spanning...

    Authors: Desislava Hristova, Anastasios Noulas, Chloë Brown, Mirco Musolesi and Cecilia Mascolo

    Citation: EPJ Data Science 2016 5:24

    Content type: Regular article

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  49. In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to this t...

    Authors: Filipe N Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Marcos André Gonçalves and Fabrício Benevenuto

    Citation: EPJ Data Science 2016 5:23

    Content type: Regular article

    Published on:

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  • ISSN: 2193-1127 (electronic)