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  1. As a relatively new field, network neuroscience has tended to focus on aggregate behaviours of the brain averaged over many successive experiments or over long recordings in order to construct robust brain mod...

    Authors: James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane and Gesine D. Reinert
    Citation: Applied Network Science 2022 7:15
  2. We propose a multi-layer network model for the spread of an infectious disease that accounts for interactions within the family, between children in classes and schools, and casual contacts in the population. ...

    Authors: Christian Bongiorno and Lorenzo Zino
    Citation: Applied Network Science 2022 7:12
  3. We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of twee...

    Authors: Mikaela Irene Fudolig, Thayer Alshaabi, Michael V. Arnold, Christopher M. Danforth and Peter Sheridan Dodds
    Citation: Applied Network Science 2022 7:9
  4. Road networks result from a subtle balance between geographical coverage and rapid access to strategic points. An understanding of their structure is fundamental when it comes to evaluating and improving terri...

    Authors: Hanae El Gouj, Christian Rincón-Acosta and Claire Lagesse
    Citation: Applied Network Science 2022 7:6
  5. Path homology is a powerful method for attaching algebraic invariants to digraphs. While there have been growing theoretical developments on the algebro-topological framework surrounding path homology, bona fide ...

    Authors: Samir Chowdhury, Steve Huntsman and Matvey Yutin
    Citation: Applied Network Science 2022 7:4
  6. This paper provides new tools for analyzing spatio-temporal event networks. We build time series of directed event networks for a set of spatial distances, and based on scan-statistics, the spatial distance th...

    Authors: Alan Miguel Forero Sanabria, Martha Patricia Bohorquez Castañeda, Rafael Ricardo Rentería Ramos and Jorge Mateu
    Citation: Applied Network Science 2022 7:3
  7. The rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the contex...

    Authors: Alessandro Muscolino, Antonio Di Maria, Rosaria Valentina Rapicavoli, Salvatore Alaimo, Lorenzo Bellomo, Fabrizio Billeci, Stefano Borzì, Paolo Ferragina, Alfredo Ferro and Alfredo Pulvirenti
    Citation: Applied Network Science 2022 7:1
  8. Complex networks lend themselves for the modeling of multidimensional data, such as relational and/or temporal data. In particular, when such complex data and their inherent relationships need to be formalized...

    Authors: Stefan Bloemheuvel, Jurgen van den Hoogen and Martin Atzmueller
    Citation: Applied Network Science 2021 6:97
  9. Twitter data exhibits several dimensions worth exploring: a network dimension in the form of links between the users, textual content of the tweets posted, and a temporal dimension as the time-stamped sequence...

    Authors: Bojan Evkoski, Nikola Ljubešić, Andraž Pelicon, Igor Mozetič and Petra Kralj Novak
    Citation: Applied Network Science 2021 6:96
  10. Group testing has recently become a matter of vital importance for efficiently and rapidly identifying the spread of Covid-19. In particular, we focus on college towns due to their density, observability, and ...

    Authors: Alex Zhao, Kavin Kumaravel, Emanuele Massaro and Marta Gonzalez
    Citation: Applied Network Science 2021 6:93
  11. The role of higher education in social and spatial mobility has attracted considerable attention. However, there are very few countrywide databases that follow the career paths of graduates from their place of...

    Authors: Zsolt Tibor Kosztyán, Vivien Valéria Csányi, Zsuzsanna Banász, Ákos Jakobi, Ildikó Neumanné-Virág and András Telcs
    Citation: Applied Network Science 2021 6:88
  12. Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification. ...

    Authors: Lorenzo Zangari, Roberto Interdonato, Antonio Calió and Andrea Tagarelli
    Citation: Applied Network Science 2021 6:87
  13. Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, and reliable and accurately refl...

    Authors: Leonie Neuhäuser, Felix I. Stamm, Florian Lemmerich, Michael T. Schaub and Markus Strohmaier
    Citation: Applied Network Science 2021 6:86
  14. The Erasmus Program is the main international mobility program in Europe and worldwide. Since its launch in 1987, it has been growing both in terms of participants and budget devoted to its activities. However...

    Authors: Luca De Benedictis and Silvia Leoni
    Citation: Applied Network Science 2021 6:83
  15. In this paper we investigate how the modularity of model and real-world social networks affect their robustness and the efficacy of node attack (removal) strategies based on node degree (ID) and node betweenne...

    Authors: Quang Nguyen, Tuan V. Vu, Hanh-Duyen Dinh, Davide Cassi, Francesco Scotognella, Roberto Alfieri and Michele Bellingeri
    Citation: Applied Network Science 2021 6:82
  16. The issue of vulnerability and robustness in networks have been addressed by several methods. The goal is to identify which are the critical components (i.e., nodes/edges) whose failure impairs the functioning...

    Authors: Andrea Ponti, Antonio Candelieri, Ilaria Giordani and Francesco Archetti
    Citation: Applied Network Science 2021 6:81
  17. Graph Neural Networks (GNNs) are effective in many applications. Still, there is a limited understanding of the effect of common graph structures on the learning process of GNNs. To fill this gap, we study the...

    Authors: Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic and Roman Kern
    Citation: Applied Network Science 2021 6:80
  18. Social networks are very important carriers of information. For instance, the political leaning of our friends can serve as a proxy to identify our own political preferences. This explanatory power is leverage...

    Authors: Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman and Claudia Wagner
    Citation: Applied Network Science 2021 6:78
  19. Fraud in public funding can have deleterious consequences for societies’ economic, social, and political well-being. Fraudulent activity associated with public procurement contracts accounts for losses of bill...

    Authors: Marcos S. Lyra, António Curado, Bruno Damásio, Fernando Bação and Flávio L. Pinheiro
    Citation: Applied Network Science 2021 6:77
  20. During the last decade, the advent of the Web and online social networks rapidly changed the way we were used to search, gather and discuss information of any kind. These tools have given everyone the chance t...

    Authors: Letizia Milli
    Citation: Applied Network Science 2021 6:76
  21. Research on fractal networks is a dynamically growing field of network science. A central issue is to analyze the fractality with the so-called box-covering method. As this problem is known to be NP-hard, a pl...

    Authors: Péter Tamás Kovács, Marcell Nagy and Roland Molontay
    Citation: Applied Network Science 2021 6:73
  22. Many aspects from real life with bi-relational structure can be modeled as bipartite networks. This modeling allows the use of some standard solutions for prediction and/or recommendation of new relations betw...

    Authors: Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux and Lina F. Soualmia
    Citation: Applied Network Science 2021 6:72
  23. Government overlap creates problems for the public and private sector across several government systems. Research suggests that overlap burdens the political and economic system by increasing costs in terms of...

    Authors: Jeremy Straughter and Kathleen Carley
    Citation: Applied Network Science 2021 6:70
  24. While the share of services in international trade has been increasing very slowly over the years, oscillating around 20 per cent since the 1990s, their role has constantly gained importance. Trade in services...

    Authors: Lucia Tajoli, Federico Airoldi and Carlo Piccardi
    Citation: Applied Network Science 2021 6:68
  25. Understanding where and why political change is happening in a country is a fundamental issue in political geography. While electoral choice is individual, it is influenced by various sociological, cultural, a...

    Authors: Jérôme Michaud, Ilkka H. Mäkinen, Attila Szilva and Emil Frisk
    Citation: Applied Network Science 2021 6:67
  26. This article proposes an approach to compare semantic networks using concept-centered sub-networks. A concept-centered sub-network is defined as an induced network whose vertex set consists of the given concept (...

    Authors: Darkhan Medeuov, Camille Roth, Kseniia Puzyreva and Nikita Basov
    Citation: Applied Network Science 2021 6:66
  27. Critical services depend on infrastructure networks for their operation and any disruption to these networks can have significant impacts on society, the economy, and quality of life. Such networks can be char...

    Authors: Craig Robson, Stuart Barr, Alistair Ford and Philip James
    Citation: Applied Network Science 2021 6:65
  28. The alignment strength of a graph matching is a quantity that gives the practitioner a measure of the correlation of the two graphs, and it can also give the practitioner a sense for whether the graph matching...

    Authors: Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey Priebe and Vince Lyzinski
    Citation: Applied Network Science 2021 6:62

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