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  1. Content type: Research

    A heterogeneous continuous time random walk is an analytical formalism for studying and modeling diffusion processes in heterogeneous structures on microscopic and macroscopic scales. In this paper we study bo...

    Authors: Liubov Tupikina and Denis S. Grebenkov

    Citation: Applied Network Science 2019 4:16

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  2. Content type: Research

    Social networks often has the graph structure of giant strongly connected component (GSCC) and its upstream and downstream portions (IN and OUT), known as a bow-tie structure since a pioneering study on the Wo...

    Authors: Yuji Fujita, Yuichi Kichikawa, Yoshi Fujiwara, Wataru Souma and Hiroshi Iyetomi

    Citation: Applied Network Science 2019 4:15

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  3. Content type: Research

    Growing evidence shows that social media facilitate diffusion of both pro-recovery and anti-recovery information among people affected by mental health problems, while little is known about the associations of...

    Authors: Tao Wang, Markus Brede, Antonella Ianni and Emmanouil Mentzakis

    Citation: Applied Network Science 2019 4:12

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  4. Content type: Research

    Companies face increased product complexity that involves reviewing and optimizing product development business processes.This leads to an increasingly multidisciplinary approach. Research units and multi-loca...

    Authors: Soumaya Yahiaoui, Christophe Courtin, Pierre Maret and Laurent Tabourot

    Citation: Applied Network Science 2019 4:11

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  5. Content type: Research

    As recent work demonstrated, the task of identifying communities in networks can be considered analogous to the classical problem of decoding messages transmitted along a noisy channel. We leverage this analog...

    Authors: Krishna C. Bathina and Filippo Radicchi

    Citation: Applied Network Science 2019 4:9

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  6. Content type: Research

    We examine students’ representations of their conceptions of the interlinked nature of science history and general history, as well as cultural history. Such knowledge landscapes of the history of science are ...

    Authors: Henri Lommi and Ismo T. Koponen

    Citation: Applied Network Science 2019 4:6

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  7. Content type: Research

    This paper studies the driving forces behind the formation of ties within the major communities in the Japanese nationwide network of production, which contains one million firms and five million links between...

    Authors: Hazem Krichene, Abhijit Chakraborty, Yoshi Fujiwara, Hiroyasu Inoue and Masaaki Terai

    Citation: Applied Network Science 2019 4:5

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  8. Content type: Review

    The growing availability of multirelational data gives rise to an opportunity for novel characterization of complex real-world relations, supporting the proliferation of diverse network models such as Attribut...

    Authors: Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron and Alessandra Sala

    Citation: Applied Network Science 2019 4:4

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  9. Content type: Research

    In this work, we investigate how court decisions aggregate citations in the European Court of Human Rights. Using the Bass model, we quantify the prevalence of the rich-get-richer phenomenon. We find that the ...

    Authors: Jorge C. Leitão, Sune Lehmann and Henrik Palmer Olsen

    Citation: Applied Network Science 2019 4:3

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  10. Content type: Research

    Electronic healthcare records contain large volumes of unstructured data in different forms. Free text constitutes a large portion of such data, yet this source of richly detailed information often remains und...

    Authors: M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki and Mauricio Barahona

    Citation: Applied Network Science 2019 4:2

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  11. Content type: Research

    This paper describes a network reduction technique to reveal possibly hidden relational patterns in information diffusion networks of interlinked content published across different types of online media. Topic...

    Authors: Tobias Hecking, Laura Steinert, Victor H. Masias and H. Ulrich Hoppe

    Citation: Applied Network Science 2019 4:1

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  12. Content type: Research

    Tools from network science can be utilized to study relations between diseases. Different studies focus on different types of inter-disease linkages. One of them is the comorbidity patterns derived from large-...

    Authors: Babak Fotouhi, Naghmeh Momeni, Maria A. Riolo and David L. Buckeridge

    Citation: Applied Network Science 2018 3:46

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  13. Content type: Research

    Understanding the relationship between individuals’ social networks and health could help devise public health interventions for reducing incidence of unhealthy behaviors or increasing prevalence of healthy on...

    Authors: Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel and Tijana Milenković

    Citation: Applied Network Science 2018 3:45

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  14. Content type: Research

    Creating a map of actors and their leanings is important for policy makers and stakeholders in the European Commission’s ‘Better Regulation Agenda’. We explore publicly available information about the European...

    Authors: Borut Sluban, Mojca Mikac, Petra Kralj Novak, Stefano Battiston and Igor Mozetič

    Citation: Applied Network Science 2018 3:44

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  15. Content type: Research

    Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand t...

    Authors: Letizia Milli, Giulio Rossetti, Dino Pedreschi and Fosca Giannotti

    Citation: Applied Network Science 2018 3:42

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  16. Content type: Research

    An electroencephalography (EEG) coherence network is a representation of functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequ...

    Authors: Chengtao Ji, Natasha M. Maurits and Jos B. T. M. Roerdink

    Citation: Applied Network Science 2018 3:41

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  17. Content type: Research

    In corporate networks, firms are connected through links of corporate ownership and shared directors, connecting the control over major economic actors in our economies in meaningful and consequential ways. Most ...

    Authors: Frank W. Takes, Walter A. Kosters, Boyd Witte and Eelke M. Heemskerk

    Citation: Applied Network Science 2018 3:39

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  18. Content type: Research

    With the growing ubiquity of data in network form, clustering in the context of a network, represented as a graph, has become increasingly important. Clustering is a very useful data exploratory machine learni...

    Authors: John Matta, Junya Zhao, Gunes Ercal and Tayo Obafemi-Ajayi

    Citation: Applied Network Science 2018 3:38

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  19. Content type: Research

    Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data colle...

    Authors: Bruno Requião da Cunha and Sebastián Gonçalves

    Citation: Applied Network Science 2018 3:36

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  20. Content type: Research

    Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we as...

    Authors: Hale Cetinay, Karel Devriendt and Piet Van Mieghem

    Citation: Applied Network Science 2018 3:34

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  21. Content type: Research

    Tuberculosis (TB) is an ancient disease that, although curable, still accounts for over 1 million deaths worldwide. Shortening treatment time is an important area of research but is hampered by the lack of mod...

    Authors: Michael J. Pitcher, Ruth Bowness, Simon Dobson and Stephen H. Gillespie

    Citation: Applied Network Science 2018 3:33

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  22. Content type: Research

    A plethora of centrality measures or rankings have been proposed to account for the importance of the nodes of a network. In the seminal study of Boldi and Vigna (2014), the comparative evaluation of centralit...

    Authors: Ferenc Béres, Róbert Pálovics, Anna Oláh and András A. Benczúr

    Citation: Applied Network Science 2018 3:32

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  23. Content type: Research

    Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy....

    Authors: Aly-Joy Ulusoy, Ivan Stoianov and Aurelie Chazerain

    Citation: Applied Network Science 2018 3:31

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  24. Content type: Research

    In this paper we describe the application of a learning classifier system (LCS) variant known as the eXtended classifier system (XCS) to evolve a set of ‘control rules’ for a number of Boolean network instance...

    Authors: Matthew R. Karlsen and Sotiris Moschoyiannis

    Citation: Applied Network Science 2018 3:30

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  25. Content type: Research

    We propose and illustrate an approach of Soft Textual Cartography consisting in the clustering of regions by taking into account both their spatial relationships and their textual description within a corpus. ...

    Authors: Raphaël Ceré and Mattia Egloff

    Citation: Applied Network Science 2018 3:27

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  26. Content type: Research

    Three fundamental elements to understand human information networks are the individuals (actors) in the network, the information they exchange, that is often observable online as text content (emails, social m...

    Authors: Davide Vega and Matteo Magnani

    Citation: Applied Network Science 2018 3:25

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  27. Content type: Research

    With a steadily growing population and rapid advancements in technology, the global economy is increasing in size and complexity. This growth exacerbates global vulnerabilities and may lead to unforeseen conse...

    Authors: Xiang Niu, Alaa Moussawi, Gyorgy Korniss and Boleslaw K. Szymanski

    Citation: Applied Network Science 2018 3:24

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  28. Content type: Research

    In real physical systems the underlying spatial components might not have crisp boundaries and their interactions might not be instantaneous. To this end, we propose δ-MAPS; a method that identifies spatially con...

    Authors: Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina and Shella Keilholz

    Citation: Applied Network Science 2018 3:21

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  29. Content type: Research

    In this paper, we analyze the millions of referral paths of patients’ interactions with the healthcare system for each year in the 2006-2011 time period and relate them to U.S. cardiovascular treatment records...

    Authors: Chuankai An, A. James O’Malley and Daniel N. Rockmore

    Citation: Applied Network Science 2018 3:20

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