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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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

  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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

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

  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. Close proximity interactions between individuals influence how infections spread. Quantifying close contacts in developing world settings, where such data is sparse yet disease burden is high, can provide insi...

    Authors: Moses C Kiti, Michele Tizzoni, Timothy M Kinyanjui, Dorothy C Koech, Patrick K Munywoki, Milosch Meriac, Luca Cappa, André Panisson, Alain Barrat, Ciro Cattuto and D James Nokes
    Citation: EPJ Data Science 2016 5:21
  29. Gender homophily, or the preference for interaction with individuals of the same gender, has been observed in many contexts, especially during childhood and adolescence. In this study we investigate such pheno...

    Authors: David Laniado, Yana Volkovich, Karolin Kappler and Andreas Kaltenbrunner
    Citation: EPJ Data Science 2016 5:19
  30. Fame, popularity and celebrity status, frequently used tokens of success, are often loosely related to, or even divorced from professional performance. This dichotomy is partly rooted in the difficulty to dist...

    Authors: Burcu Yucesoy and Albert-László Barabási
    Citation: EPJ Data Science 2016 5:17
  31. Participation in social sensing applications is challenged by privacy threats. Large-scale access to citizens’ data allow surveillance and discriminatory actions that may result in segregation phenomena in soc...

    Authors: Evangelos Pournaras, Jovan Nikolic, Pablo Velásquez, Marcello Trovati, Nik Bessis and Dirk Helbing
    Citation: EPJ Data Science 2016 5:14
  32. Energy efficiency is a key challenge for building sustainable societies. Due to growing populations, increasing incomes and the industrialization of developing countries, the world primary energy consumption i...

    Authors: Andrey Bogomolov, Bruno Lepri, Roberto Larcher, Fabrizio Antonelli, Fabio Pianesi and Alex Pentland
    Citation: EPJ Data Science 2016 5:13
  33. Tourism is becoming a significant contributor to medium and long range travels in an increasingly globalized world. Leisure traveling has an important impact on the local and global economy as well as on the e...

    Authors: Aleix Bassolas, Maxime Lenormand, Antònia Tugores, Bruno Gonçalves and José J Ramasco
    Citation: EPJ Data Science 2016 5:12

    The Erratum to this article has been published in EPJ Data Science 2016 5:16

  34. We detect the backbone of the weighted bipartite network of the Japanese credit market relationships. The backbone is detected by adapting a general method used in the investigation of weighted networks. With ...

    Authors: Luca Marotta, Salvatore Miccichè, Yoshi Fujiwara, Hiroshi Iyetomi, Hideaki Aoyama, Mauro Gallegati and Rosario N Mantegna
    Citation: EPJ Data Science 2016 5:10

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