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  1. The design of robust supply and distribution systems is one of the fundamental challenges at the interface of network science and logistics. Given the multitude of performance criteria, real-world constraints,...

    Authors: Alexey Lyutov, Yilmaz Uygun and Marc-Thorsten Hütt
    Citation: Applied Network Science 2022 7:33
  2. Inequality perceptions differ along racial and gendered lines. To explain these disparities, we propose an agent-based model of localised perceptions of the gender and racial wage gap in networks. We show that...

    Authors: Daniel M. Mayerhoffer and Jan Schulz
    Citation: Applied Network Science 2022 7:32
  3. Cancer patients with comorbidities face various life problems, health costs, and quality of life. Therefore, determining comorbid diseases would significantly affect the treatment of cancer patients. Because c...

    Authors: Heru C. Rustamaji, Yustina S. Suharini, Angga A. Permana, Wisnu A. Kusuma, Sri Nurdiati, Irmanida Batubara and Taufik Djatna
    Citation: Applied Network Science 2022 7:30
  4. We consider the problem of detecting a noisy induced multiplex template network in a larger multiplex background network. Our approach, which extends the graph matching matched filter framework of Sussman et a...

    Authors: Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe and Vince Lyzinski
    Citation: Applied Network Science 2022 7:29
  5. Gene annotation addresses the problem of predicting unknown associations between gene and functions (e.g., biological processes) of a specific organism. Despite recent advances, the cost and time demanded by a...

    Authors: Miguel Romero, Oscar Ramírez, Jorge Finke and Camilo Rocha
    Citation: Applied Network Science 2022 7:28
  6. Human mobility analysis plays a crucial role in urban analysis, city planning, epidemic modeling, and even understanding neighborhood effects on individuals’ health. Often, these studies model human mobility i...

    Authors: Saket Gurukar, Bethany Boettner, Christopher Browning, Catherine Calder and Srinivasan Parthasarathy
    Citation: Applied Network Science 2022 7:27
  7. Huge advances in understanding patterns of human communication, and the underlying social networks where it takes place, have been made recently using massive automatically recorded data sets from digital comm...

    Authors: Javier Ureña-Carrion, Petri Leskinen, Jouni Tuominen, Charles van den Heuvel, Eero Hyvönen and Mikko Kivelä
    Citation: Applied Network Science 2022 7:26
  8. High-quality outpatient medical care can prevent care-dependent people from having to move to a nursing home. Quality of care is determined by the behaviour and cooperation of providers, which, when sharing pa...

    Authors: Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Karin Wolf-Ostermann and Dirk Peschke
    Citation: Applied Network Science 2022 7:25
  9. Group work is often a critical component of how we ask students to interact while learning in active and interactive environments. A common-sense extension of this feature is the inclusion of group assessments...

    Authors: Steven F. Wolf, Timothy M. Sault, Tyme Suda and Adrienne L. Traxler
    Citation: Applied Network Science 2022 7:24
  10. Google Scholar is a search engine for scholarly literature which indexes most academic papers, dissertations, and books that are available online. This paper aims to analyze the characteristics of the manually...

    Authors: Ghazal Kalhor, Amin Asadi Sarijalou, Niloofar Sharifi Sadr and Behnam Bahrak
    Citation: Applied Network Science 2022 7:21
  11. International trade is based on a set of complex relationships between different countries that can be modelled as an extremely dense network of interconnected agents. On the one hand, this network might favou...

    Authors: Roberto Antonietti, Paolo Falbo, Fulvio Fontini, Rosanna Grassi and Giorgio Rizzini
    Citation: Applied Network Science 2022 7:18
  12. One of the major current challenges in the field of security and safety of populations is to advance further in the understanding and the ability to anticipate their behaviors when faced with threats or disast...

    Authors: Valentina Lanza, Edwige Dubos-Paillard, Rodolphe Charrier, Damienne Provitolo and Alexandre Berred
    Citation: Applied Network Science 2022 7:17
  13. 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
  14. In this work we use a network-based approach to investigate the complex system of interactions among the 17 Sustainable Development Goals (SDGs), that constitute the structure of the United Nations 2030 Agenda...

    Authors: Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Vincenzo Aquaro, Angela Lombardi, Sabina Tangaro and Roberto Bellotti
    Citation: Applied Network Science 2022 7:14
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

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