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  1. 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

    Content type: Regular article

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  2. 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

    Content type: Regular article

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  4. 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

    Content type: Regular article

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  5. 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

    Content type: Regular article

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  6. 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

    Content type: Regular article

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  8. 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

    Content type: Regular article

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  10. 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

    Content type: Regular article

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  11. 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

    Content type: Regular article

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  13. 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

    Content type: Regular article

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  14. 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

    Content type: Regular Article

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  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

    Content type: Regular Article

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  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

    Content type: Editorial

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  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

    Content type: Regular Article

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  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

    Content type: Regular Article

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  21. 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

    Content type: Regular article

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  23. 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

    Content type: Review

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  25. 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

    Content type: Regular article

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  26. 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

    Content type: Regular article

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  27. 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

    Content type: Research

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  28. 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

    Content type: Research

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  29. 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

    Content type: Regular article

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  30. 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

    Content type: Regular article

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  32. 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

    Content type: Regular article

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  33. 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

    Content type: Regular article

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  34. 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

    Content type: Editorial

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  35. 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

    Content type: Regular article

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  37. 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

    Content type: Regular article

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  38. 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

    Content type: Regular article

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  41. 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

    Content type: Research

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  43. Traded corporations are required by law to have a majority of outside directors on their board. This requirement allows the existence of directors who sit on the board of two or more corporations at the same t...

    Authors: Serguei Saavedra, Luis J Gilarranz, Rudolf P Rohr, Michael Schnabel, Brian Uzzi and Jordi Bascompte

    Citation: EPJ Data Science 2014 3:30

    Content type: Regular article

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  44. We studied a dataset of care episodes in a regional Swedish hospital system. We followed how 2,314,477 patients moved between 8,507 units (hospital wards and outpatient clinics) over seven years. The data also...

    Authors: Jan Ohst, Fredrik Liljeros, Mikael Stenhem and Petter Holme

    Citation: EPJ Data Science 2014 3:29

    Content type: Regular article

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  47. The Internet has unleashed the capacity for planetary-scale collective problem solving (also known as crowdsourcing), with ever increasing successful examples. A key hypothesis behind crowdsourcing is that, at...

    Authors: Nicolas Stefanovitch, Aamena Alshamsi, Manuel Cebrian and Iyad Rahwan

    Citation: EPJ Data Science 2014 3:13

    Content type: Regular article

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  48. One might think that, compared to traditional media, social media sites allow people to choose more freely what to read and what to share, especially for politically oriented news. However, reading and sharing...

    Authors: Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi and Jon Crowcroft

    Citation: EPJ Data Science 2014 3:12

    Content type: Research

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  49. We present a novel algorithm and validation method for disambiguating author names in very large bibliographic data sets and apply it to the full Web of Science (WoS) citation index. Our algorithm relies only ...

    Authors: Christian Schulz, Amin Mazloumian, Alexander M Petersen, Orion Penner and Dirk Helbing

    Citation: EPJ Data Science 2014 3:11

    Content type: Regular article

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  50. We address the question to what extent the success of scientific articles is due to social influence. Analyzing a data set of over 100,000 publications from the field of Computer Science, we study how centrali...

    Authors: Emre Sarigöl, René Pfitzner, Ingo Scholtes, Antonios Garas and Frank Schweitzer

    Citation: EPJ Data Science 2014 3:9

    Content type: Regular article

    Published on:

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  • ISSN: 2193-1127 (electronic)
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