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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. We present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, an...

    Authors: Ariel Salgado, Weixin Li, Fahad Alhasoun, Inés Caridi and Marta Gonzalez
    Citation: Applied Network Science 2021 6:43
  31. The quantitative study of traffic dynamics is crucial to ensure the efficiency of urban transportation networks. The current work investigates the spatial properties of congestion, that is, we aim to character...

    Authors: Aniello Lampo, Javier Borge-Holthoefer, Sergio Gómez and Albert Solé-Ribalta
    Citation: Applied Network Science 2021 6:41
  32. The use of networks for modelling and analysing relations among data is currently growing. Recently, the use of a single networks for capturing all the aspects of some complex scenarios has shown some limitati...

    Authors: Riccardo Dondi, Mohammad Mehdi Hosseinzadeh and Pietro H. Guzzi
    Citation: Applied Network Science 2021 6:40
  33. This paper introduces the notions of chained and semi-chained graphs. The chain of a graph, when existent, refines the notion of bipartivity and conveys important structural information. Also the notion of a c...

    Authors: Anna Concas, Lothar Reichel, Giuseppe Rodriguez and Yunzi Zhang
    Citation: Applied Network Science 2021 6:39

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