EPJ Data Science
Papers 234
1 page of 24 pages (234 results)
#1Caleb M. Koch (ETH Zurich)H-Index: 1
#2Izabela Moise (ETH Zurich)H-Index: 3
Last. Karsten Donnay (University of Konstanz)H-Index: 5
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In this paper, we take a novel approach to study the empirical relationship between public debate in the media and asylum acceptance rates in Europe from 2002–2016. In theory, an asylum seeker should experience the same likelihood of being granted refugee status from each of the 20 European countries we study. Yet, in practice, acceptance rates vary widely for nearly every asylum country of origin. We address this inconsistency with a data-driven approach by analyzing refugee-related news articl...
#1Peng Wang (ECUST: East China University of Science and Technology)
#2Jun-Chao Ma (ECUST: East China University of Science and Technology)
Last. Didier Sornette (ETH Zurich)H-Index: 82
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Empirical investor networks (EIN) proposed by \cite{Ozsoylev-Walden-Yavuz-Bildik-2014-RFS} are assumed to capture the information spreading path among investors. Here, we perform a comparative analysis between the EIN and the cellphone communication networks (CN) to test whether EIN is an information exchanging network from the perspective of the layer structures of ego networks. We employ two clustering algorithms (kmeans algorithm and H/Tbreak algorithm) to detect the layer structures fo...
1 CitationsSource
#1Doheum ParkH-Index: 2
Last. Juyong ParkH-Index: 5
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Recent advances in the quantitative, computational methodology for the modeling and analysis of heterogeneous large-scale data are leading to new opportunities for understanding human behaviors and faculties, including creativity that drives creative enterprises such as science. While innovation is crucial for novel and influential achievements, quantifying these qualities in creative works remains a challenge. Here we present an information-theoretic framework for computing the novelty and infl...
#1Federico Botta (University of Exeter)H-Index: 4
#2Tobias Preis (Warw.: University of Warwick)H-Index: 25
Last. Helen Susannah Moat (Warw.: University of Warwick)H-Index: 15
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Measuring collective human behaviour has traditionally been a time-consuming and expensive process, impairing the speed at which data can be made available to decision makers in policy. Can data generated through widespread use of online services help provide faster insights? Here, we consider an example relating to policymaking for culture and the arts: publicly funded museums and galleries in the UK. We show that data on Google searches for museums and galleries can be used to generate estimat...
#1Milan Janosov (CEU: Central European University)H-Index: 1
#2Federico Battiston (CEU: Central European University)H-Index: 10
Last. Roberta Sinatra (ITU: IT University of Copenhagen)H-Index: 16
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Luck is considered a crucial ingredient to achieve impact in all creative domains, despite their diversity. For instance, in science, the movie industry, music, and art, the occurrence of the highest impact work and a hot streak within a creative career are very difficult to predict. Are there domains that are more prone to luck than others? Here, we provide new insights on the role of randomness in impact in creative careers in two ways: (i) we systematically untangle luck and individual abilit...
1 CitationsSource
#1Anshul VermaH-Index: 1
#2Orazio AngeliniH-Index: 1
Last. Tiziana Di MatteoH-Index: 36
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Composite development indicators used in policy making often subjectively aggregate a restricted set of indicators. We show, using dimensionality reduction techniques, including Principal Component Analysis (PCA) and for the first time information filtering and hierarchical clustering, that these composite indicators miss key information on the relationship between different indicators. In particular, the grouping of indicators via topics is not reflected in the data at a global and local level....
#1Adeline DecuyperH-Index: 5
#2Yérali GandicaH-Index: 6
Last. Jean-Charles DelvenneH-Index: 21
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Many times the nodes of a complex network, whether deliberately or not, are aggregated for technical, ethical, legal limitations or privacy reasons. A common example is the geographic position: one may uncover communities in a network of places, or of individuals identified with their typical geographical position, and then aggregate these places into larger entities, such as municipalities, thus obtaining another network. The communities found in the networks obtained at various levels of aggre...
#1Mandana Saebi (ND: University of Notre Dame)H-Index: 1
#2Jian Xu (ND: University of Notre Dame)
Last. Nitesh V. Chawla (ND: University of Notre Dame)H-Index: 45
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Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance of using Higher-Order Networks (HONs) for modeling and analyzing such complex systems, as the typical Markovian assumption in developing the First Order Network (FON) can be limiting. This higher-order network representation not only creates a more accurate representation of the underlying complex system, but also lea...
#1Zilong ZhaoH-Index: 2
#2Jichang ZhaoH-Index: 12
Last. Shlomo HavlinH-Index: 105
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Social media can be a double-edged sword for society, either as a convenient channel exchanging ideas or as an unexpected conduit circulating fake news through a large population. While existing studies of fake news focus on theoretical modeling of propagation or identification methods based on machine learning, it is important to understand the realistic propagation mechanisms between theoretical models and black-box methods. Here we track large databases of fake news and real news in both, Wei...
1 CitationsSource
#1Yongsung Kim (NU: Northwestern University)
#2Luca Maria Aiello (Bell Labs)H-Index: 20
Last. Daniele Quercia (Bell Labs)H-Index: 31
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Music can motivate many daily activities as it can regulate mood, increase productivity and sports performance, and raise spirits. However, we know little about how to recommend songs that are motivational for people given their contexts and activities. As a first step towards dealing with this issue, we adopt a theory-driven approach and operationalize the Brunel Music Rating Inventory (BMRI) to identify motivational qualities of music from the audio signal. When we look at frequently listened ...
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