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  2. 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

    Content type: Research

    Published on:

  7. 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

    Content type: Research

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  8. 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

    Content type: Research

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  9. 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

    Content type: Research

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  12. 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

    Content type: Research

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  13. 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

    Content type: Research

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  14. 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

    Content type: Research

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  15. 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

    Content type: Research

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  17. 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

    Content type: Research

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  18. 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

    Content type: Research

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  19. 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

    Content type: Research

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  22. 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

    Content type: Research

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  23. 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

    Content type: Research

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  25. 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

    Content type: Research

    Published on:

  27. 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

    Content type: Research

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  28. 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

    Content type: Research

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  29. 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

    Content type: Research

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  30. 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

    Content type: Research

    Published on:

  32. Motifs represent local subgraphs that are overrepresented in networks. Several disciplines document multiple instances in which motifs appear in graphs and provide insight into the structure and processes of t...

    Authors: Diane Felmlee, Cassie McMillan and Roger Whitaker

    Citation: Applied Network Science 2021 6:63

    Content type: Research

    Published on:

  33. 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

    Content type: Research

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  34. In designing the city of the future, city managers and urban planners are driven by specific citizens’ behaviors. In fact, economic and financial behaviors, and specifically, which goods and services citizens ...

    Authors: Alessia Galdeman, Cheick T. Ba, Matteo Zignani, Christian Quadri and Sabrina Gaito

    Citation: Applied Network Science 2021 6:61

    Content type: Research

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  35. Graph sampling methods have been used to reduce the size and complexity of big complex networks for graph mining and visualization. However, existing graph sampling methods often fail to preserve the connectiv...

    Authors: Jingming Hu, Tuan Tran Chu, Seok-Hee Hong, Jialu Chen, Amyra Meidiana, Marnijati Torkel, Peter Eades and Kwan-Liu Ma

    Citation: Applied Network Science 2021 6:60

    Content type: Research

    Published on:

  36. Crises in a global setting of interdependencies call for time-critical coordinated responses. However, it is often the case that the mechanisms responsible for these actions do not agree across all their hiera...

    Authors: Jason Bassett, Niccolò Pescetelli, Alex Rutherford and Manuel Cebrian

    Citation: Applied Network Science 2021 6:59

    Content type: Research

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  37. Sparsification is the process of decreasing the number of edges in a network while one or more topological properties are preserved. For probabilistic networks, sparsification has only been studied to preserve...

    Authors: Amin Kaveh, Matteo Magnani and Christian Rohner

    Citation: Applied Network Science 2021 6:58

    Content type: Research

    Published on:

  38. Cities are microcosms representing a diversity of human experience. The complexity of urban systems arises from this diversity, where the services that cities offer to their inhabitants have to be tailored for...

    Authors: Renita Murimi

    Citation: Applied Network Science 2021 6:57

    Content type: Research

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  39. Network centrality measures assign importance to influential or key nodes in a network based on the topological structure of the underlying adjacency matrix. In this work, we define the importance of a node in...

    Authors: Matthew D. Nemesure, Thomas M. Schwedhelm, Sofia Sacerdote, A. James O’Malley, Luke R. Rozema and Erika L. Moen

    Citation: Applied Network Science 2021 6:56

    Content type: Research

    Published on:

  42. A system of hospitals in large cities can be considered a large and diverse but interconnected system. Widely applied in hospitals, electronic health records (EHR) are crucially different from each other becau...

    Authors: Anastasia A. Funkner, Michil P. Egorov, Sergey A. Fokin, Gennady M. Orlov and Sergey V. Kovalchuk

    Citation: Applied Network Science 2021 6:53

    Content type: Research

    Published on:

  45. In this work, we analyze in detail the topology of the written language network using co-occurrence of words to recognize authorship. The Latin texts object of this study are excerpts from Historia Augusta, a col...

    Authors: Armando Martins, Clara Grácio, Cláudia Teixeira, Irene Pimenta Rodrigues, Juan Luís Garcia Zapata and Lígia Ferreira

    Citation: Applied Network Science 2021 6:50

    Content type: Research

    Published on:

  46. Space Syntax and the theory of natural movement demonstrated that spatial morphology is a primary factor influencing movement. This paper investigates to what extent spatial morphology at different scales (nod...

    Authors: Helena Freire de Almeida, Rui J. Lopes, João M. Carrilho and Sara Eloy

    Citation: Applied Network Science 2021 6:49

    Content type: Research

    Published on:

  49. A common issue in trade network analysis is missing data, as some countries do not report trade flows. This paper explores what constitutes suitable data, how to deal with missing data, and demonstrates the re...

    Authors: Najmeh Sajedianfard, Ebrahim Hadian, Ali Hussain Samadi, Zahra Dehghan Shabani, Somwrita Sarkar and P. A. Robinson

    Citation: Applied Network Science 2021 6:46

    Content type: Research

    Published on:

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  • ISSN: 2364-8228 (electronic)