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  1. Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network...

    Authors: Daniel Dylewsky, Xiu Yang, Alexandre Tartakovsky and J. Nathan Kutz

    Citation: Applied Network Science 2019 4:24

    Content type: Research

    Published on:

  2. We study how the community structure of bipartite mutualistic networks changes in a dynamic context. First, we consider a real mutualistic network and introduce extinction events according to several scenarios...

    Authors: Somaye Sheykhali, Juan Fernández-Gracia, Anna Traveset and Víctor M. Eguíluz

    Citation: Applied Network Science 2019 4:23

    Content type: Research

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  3. Transcriptional co-expression networks represent the concerted gene regulation programs by means of statistical inference of co-expression patterns. The rich phenomenology of transcriptional processes behind c...

    Authors: Guillermo de Anda-Jáuregui, Sergio Antonio Alcalá-Corona, Jesús Espinal-Enríquez and Enrique Hernández-Lemus

    Citation: Applied Network Science 2019 4:22

    Content type: Research

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  4. Knowledge graph will be usefull for the intelligent system. As the relationship prediction on the knowledge graph becomes accurate, construction of a knowledge graph and detection of erroneous information incl...

    Authors: Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe and Hiroshi Okamoto

    Citation: Applied Network Science 2019 4:20

    Content type: Research

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  5. 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

    Content type: Research

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  6. 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

    Content type: Research

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  7. 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

    Content type: Research

    Published on:

  8. 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

    Content type: Research

    Published on:

  9. 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

    Content type: Research

    Published on:

  10. 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

    Content type: Research

    Published on:

    The Correction to this article has been published in Applied Network Science 2020 5:42

  11. 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

    Content type: Research

    Published on:

  12. 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

    Content type: Review

    Published on:

  13. 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

    Content type: Research

    Published on:

  14. 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

    Content type: Research

    Published on:

  15. 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

    Content type: Research

    Published on:

  16. 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

    Content type: Research

    Published on:

  17. 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

    Content type: Research

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  18. 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

    Content type: Research

    Published on:

  19. 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

    Content type: Research

    Published on:

  20. 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

    Content type: Research

    Published on:

  21. 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

    Content type: Research

    Published on:

  22. 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

    Content type: Research

    Published on:

  23. 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

    Content type: Research

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  24. 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

    Content type: Research

    Published on:

  25. 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

    Content type: Research

    Published on:

  26. 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

    Content type: Research

    Published on:

  27. 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

    Content type: Research

    Published on:

  28. 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

    Content type: Research

    Published on:

  29. 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

    Content type: Research

    Published on:

  30. 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

    Content type: Research

    Published on:

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