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  1. 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
  2. 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
  3. 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

  4. 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
  5. In this paper, we study the network of global interconnections between language communities, based on shared co-editing interests of Wikipedia editors, and show that although English is discussed as a potential l...

    Authors: Anna Samoilenko, Fariba Karimi, Daniel Edler, Jérôme Kunegis and Markus Strohmaier
    Citation: EPJ Data Science 2016 5:9

    The Erratum to this article has been published in EPJ Data Science 2016 5:15

  6. We consider inventions as novel combinations of existing technological capabilities. Patent data allow us to explicitly identify such combinatorial processes in invention activities (Youn et al. in J R Soc Interf...

    Authors: Daniel Kim, Daniel Burkhardt Cerigo, Hawoong Jeong and Hyejin Youn
    Citation: EPJ Data Science 2016 5:8
  7. Citation networks have been widely used to study the evolution of science through the lenses of the underlying patterns of knowledge flows among academic papers, authors, research sub-fields, and scientific jo...

    Authors: Valerio Ciotti, Moreno Bonaventura, Vincenzo Nicosia, Pietro Panzarasa and Vito Latora
    Citation: EPJ Data Science 2016 5:7
  8. Contributing to the writing of history has never been as easy as it is today thanks to Wikipedia, a community-created encyclopedia that aims to document the world’s knowledge from a neutral point of view. Thou...

    Authors: Claudia Wagner, Eduardo Graells-Garrido, David Garcia and Filippo Menczer
    Citation: EPJ Data Science 2016 5:5
  9. Segregation is widespread in all realms of human society. Several influential studies have argued that intolerance is not a prerequisite for a segregated society, and that segregation can arise even when peopl...

    Authors: Milena Tsvetkova, Olof Nilsson, Camilla Öhman, Lovisa Sumpter and David Sumpter
    Citation: EPJ Data Science 2016 5:4
  10. The exploration of people’s everyday life has long been of interest to social scientists. Recent years have witnessed a growing interest in analyzing human behavioral data generated by technology (e.g. mobile ...

    Authors: Simone Centellegher, Marco De Nadai, Michele Caraviello, Chiara Leonardi, Michele Vescovi, Yusi Ramadian, Nuria Oliver, Fabio Pianesi, Alex Pentland, Fabrizio Antonelli and Bruno Lepri
    Citation: EPJ Data Science 2016 5:3
  11. Link prediction appears as a central problem of network science, as it calls for unfolding the mechanisms that govern the micro-dynamics of the network. In this work, we are interested in ego-networks, that is th...

    Authors: Lionel Tabourier, Anne-Sophie Libert and Renaud Lambiotte
    Citation: EPJ Data Science 2016 5:1
  12. In recent years, we have seen scientists attempt to model and explain human dynamics and in particular human movement. Many aspects of our complex life are affected by human movement such as disease spread and...

    Authors: Hugo Barbosa, Fernando B de Lima-Neto, Alexandre Evsukoff and Ronaldo Menezes
    Citation: EPJ Data Science 2015 4:21
  13. Uber has recently been introducing novel practices in urban taxi transport. Journey prices can change dynamically in almost real time and also vary geographically from one area to another in a city, a strategy...

    Authors: Anastasios Noulas, Vsevolod Salnikov, Renaud Lambiotte and Cecilia Mascolo
    Citation: EPJ Data Science 2015 4:23
  14. The spreading of information is of crucial importance for the modern information society. While we still receive information from mass media and other non-personalized sources, online social networks and influ...

    Authors: Alexandre Vidmer, Matúš Medo and Yi-Cheng Zhang
    Citation: EPJ Data Science 2015 4:20
  15. Large-scale protests occur frequently and sometimes overthrow entire political systems. Meanwhile, online social networks have become an increasingly common component of people’s lives. We present a large-scal...

    Authors: Zachary C Steinert-Threlkeld, Delia Mocanu, Alessandro Vespignani and James Fowler
    Citation: EPJ Data Science 2015 4:19
  16. Novel data streams (NDS), such as web search data or social media updates, hold promise for enhancing the capabilities of public health surveillance. In this paper, we outline a conceptual framework for integr...

    Authors: Benjamin M Althouse, Samuel V Scarpino, Lauren Ancel Meyers, John W Ayers, Marisa Bargsten, Joan Baumbach, John S Brownstein, Lauren Castro, Hannah Clapham, Derek AT Cummings, Sara Del Valle, Stephen Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan George…
    Citation: EPJ Data Science 2015 4:17
  17. The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ and to provide a discussion venue about recent advances ...

    Authors: Bruno Lepri, Fabrizio Antonelli, Fabio Pianesi and Alex Pentland
    Citation: EPJ Data Science 2015 4:16
  18. The widespread adoption of mobile devices that record the communications, social relations, and movements of billions of individuals in great detail presents unique opportunities for the study of social struct...

    Authors: Huina Mao, Xin Shuai, Yong-Yeol Ahn and Johan Bollen
    Citation: EPJ Data Science 2015 4:15
  19. Customers mobility is dependent on the sophistication of their needs: sophisticated customers need to travel more to fulfill their needs. In this paper, we provide more detailed evidence of this phenomenon, pr...

    Authors: Michele Coscia, Diego Pennacchioli and Fosca Giannotti
    Citation: EPJ Data Science 2015 4:14
  20. The Internet is composed of routing devices connected between them and organized into independent administrative entities: the Autonomous Systems. The existence of different types of Autonomous Systems (like l...

    Authors: Mariano G Beiró, Sebastián P Grynberg and J Ignacio Alvarez-Hamelin
    Citation: EPJ Data Science 2015 4:12
  21. In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and...

    Authors: Vincent D Blondel, Adeline Decuyper and Gautier Krings
    Citation: EPJ Data Science 2015 4:10
  22. In this paper we apply techniques of complex network analysis to data sources representing public funding programs and discuss the importance of the considered indicators for program evaluation. Starting from ...

    Authors: Stefano Nicotri, Eufemia Tinelli, Nicola Amoroso, Elena Garuccio and Roberto Bellotti
    Citation: EPJ Data Science 2015 4:8
  23. The high population density in cities confers many advantages, including improved social interaction and information exchange. However, it is often argued that urban living comes at the expense of reducing hap...

    Authors: Aamena Alshamsi, Edmond Awad, Maryam Almehrezi, Vahan Babushkin, Pai-Ju Chang, Zakariyah Shoroye, Attila-Péter Tóth and Iyad Rahwan
    Citation: EPJ Data Science 2015 4:7
  24. Recent grassroots movements have suggested that online social networks might play a key role in their organization, as adherents have a fast, many-to-many, communication channel to help coordinate their mobili...

    Authors: Raquel Alvarez, David Garcia, Yamir Moreno and Frank Schweitzer
    Citation: EPJ Data Science 2015 4:6
  25. There is an increasing trend of people leaving digital traces through social media. This reality opens new horizons for urban studies. With this kind of data, researchers and urban planners can detect many asp...

    Authors: Silvia Paldino, Iva Bojic, Stanislav Sobolevsky, Carlo Ratti and Marta C González
    Citation: EPJ Data Science 2015 4:5
  26. Spatial variations in the distribution and composition of populations inform urban development, health-risk analyses, disaster relief, and more. Despite the broad relevance and importance of such data, acquiri...

    Authors: Rex W Douglass, David A Meyer, Megha Ram, David Rideout and Dongjin Song
    Citation: EPJ Data Science 2015 4:4
  27. We analyse a large mobile phone activity dataset provided by Telecom Italia for the Telecom Big Data Challenge contest. The dataset reports the international country codes of every call/SMS made and received by m...

    Authors: Paolo Bajardi, Matteo Delfino, André Panisson, Giovanni Petri and Michele Tizzoni
    Citation: EPJ Data Science 2015 4:3
  28. Human mobility in a city represents a fascinating complex system that combines social interactions, daily constraints and random explorations. New collections of data that capture human mobility not only help ...

    Authors: Manlio De Domenico, Antonio Lima, Marta C González and Alex Arenas
    Citation: EPJ Data Science 2015 4:1
  29. Food is a central element of humans’ life, and food preferences are amongst others manifestations of social, cultural and economic forces that influence the way we view, prepare and consume food. Historically,...

    Authors: Claudia Wagner, Philipp Singer and Markus Strohmaier
    Citation: EPJ Data Science 2014 3:38
  30. The goal of this thematic series is to provide a discussion venue about recent advances in the study of networks and their applications to the study of collective behavior in socio-technical systems. The serie...

    Authors: Giovanni Luca Ciampaglia, Emilio Ferrara and Alessandro Flammini
    Citation: EPJ Data Science 2014 3:37
  31. The application of functional analysis to infer networks in large datasets is potentially helpful to experimenters in various fields. In this paper, we develop a technique to construct networks of statisticall...

    Authors: Woon Peng Goh, Dennis Kwek, David Hogan and Siew Ann Cheong
    Citation: EPJ Data Science 2014 3:36
  32. Aim of this paper is to introduce the complex system perspective into retail market analysis. Currently, to understand the retail market means to search for local patterns at the micro level, involving the seg...

    Authors: Diego Pennacchioli, Michele Coscia, Salvatore Rinzivillo, Fosca Giannotti and Dino Pedreschi
    Citation: EPJ Data Science 2014 3:33
  33. Communication through social media mediates coordination and information diffusion across a range of social settings. However, online networks are large and complex, and their analysis requires new methods to ...

    Authors: Sandra González-Bailón, Ning Wang and Javier Borge-Holthoefer
    Citation: EPJ Data Science 2014 3:32
  34. Detecting and visualizing what are the most relevant changes in an evolving network is an open challenge in several domains. We present a fast algorithm that filters subsets of the strongest nodes and edges re...

    Authors: Przemyslaw A Grabowicz, Luca Maria Aiello and Filippo Menczer
    Citation: EPJ Data Science 2014 3:27

Annual journal metrics

  • 2022 Citation Impact
    3.6 - 2-year Impact Factor
    4.4 - 5-year Impact Factor
    1.625 - SNIP (Source Normalized Impact per Paper)
    1.066 - SJR (SCImago Journal Rank)

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    21 days submission to first editorial decision for all manuscripts (Median)
    214 days submission to accept (Median)

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