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  1. 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
  2. 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
  3. 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
  4. 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
  5. Billions of users of mobile phones, social media platforms, and other technologies generate an increasingly large volume of data that has the potential to be leveraged towards solving public health challenges....

    Authors: Moritz U. G. Kraemer, D. Bisanzio, R. C. Reiner, R. Zakar, J. B. Hawkins, C. C. Freifeld, D. L. Smith, S. I. Hay, J. S. Brownstein and T. Alex Perkins
    Citation: EPJ Data Science 2018 7:16
  6. Recurrent interactions between agents play an essential role in the organization of a dynamic complex system. While intensive researches have been done on social systems formed by human interactions, dynamical...

    Authors: Teruyoshi Kobayashi and Taro Takaguchi
    Citation: EPJ Data Science 2018 7:15
  7. Estimating revenue and business demand of a newly opened venue is paramount as these early stages often involve critical decisions such as first rounds of staffing and resource allocation. Traditionally, this ...

    Authors: Krittika D’Silva, Anastasios Noulas, Mirco Musolesi, Cecilia Mascolo and Max Sklar
    Citation: EPJ Data Science 2018 7:13
  8. International aid is a complex system: it involves different issues, countries, and donors. In this paper, we use web crawling to collect information about the activities of international aid organizations on ...

    Authors: Michele Coscia, Katsumasa Hamaguchi, Maria Elena Pinglo and Antonio Giuffrida
    Citation: EPJ Data Science 2018 7:12
  9. Identifying the factors that influence academic performance is an essential part of educational research. Previous studies have documented the importance of personality traits, class attendance, and social net...

    Authors: Valentin Kassarnig, Enys Mones, Andreas Bjerre-Nielsen, Piotr Sapiezynski, David Dreyer Lassen and Sune Lehmann
    Citation: EPJ Data Science 2018 7:10
  10. Using a large dataset with individual-level demographic information of almost 60,000 families in contemporary Finland, we analyse the regional variation and cultural assortativity by studying the network betwe...

    Authors: Kunal Bhattacharya, Venla Berg, Asim Ghosh, Daniel Monsivais, János Kertész, Kimmo Kaski and Anna Rotkirch
    Citation: EPJ Data Science 2018 7:9
  11. Societal unrest and similar events are important for societies, but it is often difficult to quantify their effects on individuals, hindering a timely and effective policy-making in emergencies and in particul...

    Authors: Xiaowen Dong, Joachim Meyer, Erez Shmueli, Burçin Bozkaya and Alex Pentland
    Citation: EPJ Data Science 2018 7:8
  12. Reading remains the preferred leisure activity for most individuals, continuing to offer a unique path to knowledge and learning. As such, books remain an important cultural product, consumed widely. Yet, whil...

    Authors: Burcu Yucesoy, Xindi Wang, Junming Huang and Albert-László Barabási
    Citation: EPJ Data Science 2018 7:7
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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

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

  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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

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