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  1. Network science offers valuable tools for planning and managing public transportation systems, with measures such as network centralities proposed as complementary predictors of ridership. This paper explores ...

    Authors: Athanasios Kopsidas, Aristeides Douvaras and Konstantinos Kepaptsoglou
    Citation: Applied Network Science 2023 8:69
  2. Apart from nodes and links, for many networked systems, we have access to data on paths, i.e., collections of temporally ordered variable-length node sequences that are constrained by the system’s topology. Un...

    Authors: Christoph Gote, Giona Casiraghi, Frank Schweitzer and Ingo Scholtes
    Citation: Applied Network Science 2023 8:68
  3. Social media platforms offer cost-effective digital marketing opportunities to monitor the market, create user communities, and spread positive opinions. They allow companies with fewer budgets, like startups,...

    Authors: Ana Rita Peixoto, Ana de Almeida, Nuno António, Fernando Batista, Ricardo Ribeiro and Elsa Cardoso
    Citation: Applied Network Science 2023 8:66
  4. During the April 2023 Brazil–China summit, the creation of a trade currency supported by the BRICS countries was proposed. Using the United Nations Comtrade database, providing the frame of the world trade net...

    Authors: Célestin Coquidé, José Lages and Dima L. Shepelyansky
    Citation: Applied Network Science 2023 8:65
  5. Dynamic (temporal) graphs are a convenient mathematical abstraction for many practical complex systems including social contacts, business transactions, and computer communications. Community discovery is an e...

    Authors: Naw Safrin Sattar, Aydin Buluc, Khaled Z. Ibrahim and Shaikh Arifuzzaman
    Citation: Applied Network Science 2023 8:64
  6. We investigate the development of cooperative behavior in networks over time. In our controlled laboratory experiment, subjects can cooperate by sending costly messages that contain valuable information for th...

    Authors: Gorm Gruner Jensen, Martin Benedikt Busch, Marco Piovesan and Jan O. Haerter
    Citation: Applied Network Science 2023 8:62
  7. Crypto assets have lately become the chief interest of investors around the world. The excitement around, along with the promise of the nascent technology led to enormous speculation by impulsive investors. De...

    Authors: Hendra Setiawan and Moinak Bhaduri
    Citation: Applied Network Science 2023 8:61
  8. The decision of where to locate the catchment area of an urban network exerts significant influence on the indicator values and in this research this influence is referred to as the placement effect. Placement...

    Authors: Hsiao-Hui Chen and Udo Dietrich
    Citation: Applied Network Science 2023 8:60
  9. This paper empirically investigates the role played by cross-country spillovers in shaping spatiotemporal differences in country income. While existing literature focused on effects captured by direct spillove...

    Authors: Giorgio Fagiolo and Davide Samuele Luzzati
    Citation: Applied Network Science 2023 8:59
  10. Hospital databases provide complex data on individual patients, which can be analysed to discover patterns and relationships. This can provide insight into medicine that cannot be gained through focused studie...

    Authors: Ondrej Janca, Eliska Ochodkova, Eva Kriegova, Pavel Horak, Martina Skacelova and Milos Kudelka
    Citation: Applied Network Science 2023 8:57
  11. It is often of interest to sample vertices from a graph with a bias towards higher-degree vertices. One well-known method, which we call random neighbor or RN, involves taking a vertex at random and exchanging...

    Authors: Yitzchak Novick and Amotz Bar-Noy
    Citation: Applied Network Science 2023 8:56
  12. Rapid urbanization has posed challenges to accessibility to critical services that require in-depth analysis. Complex networks theory has been used to evaluate the evolution of network topologies or the overal...

    Authors: Nazli Yonca Aydin, Emre Yigitbasi, Ylenia Casali and Bert van Wee
    Citation: Applied Network Science 2023 8:55
  13. Inferring the source of a diffusion in a large network of agents is a difficult but feasible task, if a few agents act as sensors revealing the time at which they got hit by the diffusion. One of the main limi...

    Authors: Gergely Ódor, Jana Vuckovic, Miguel-Angel Sanchez Ndoye and Patrick Thiran
    Citation: Applied Network Science 2023 8:53
  14. Self-propagating malware (SPM) is responsible for large financial losses and major data breaches with devastating social impacts that cannot be understated. Well-known campaigns such as WannaCry and Colonial P...

    Authors: Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad and Alina Oprea
    Citation: Applied Network Science 2023 8:52
  15. Nestedness has been observed in a variety of networks but has been primarily viewed in the context of bipartite networks. Numerous metrics quantify nestedness and some clustering methods identify fully nested ...

    Authors: Imre Gera and András London
    Citation: Applied Network Science 2023 8:51
  16. The present study aims to infer individuals’ social networks from their spatio-temporal behavior acquired via wearable sensors. Previously proposed static network metrics (e.g., centrality measures) cannot cap...

    Authors: Maedeh Nasri, Mitra Baratchi, Yung-Ting Tsou, Sarah Giest, Alexander Koutamanis and Carolien Rieffe
    Citation: Applied Network Science 2023 8:50
  17. Aiming at knowledge discovery for temporal sequences of cooking recipes published in social media platforms from the viewpoint of network science, we consider an analysis of temporal higher-order networks of i...

    Authors: Koudai Fujisawa, Masahito Kumano and Masahiro Kimura
    Citation: Applied Network Science 2023 8:48
  18. Social media platforms centered around content creators (CCs) faced rapid growth in the past decade. Currently, millions of CCs make livable incomes through platforms such as YouTube, TikTok, and Instagram. As...

    Authors: Stefania Ionescu, Anikó Hannák and Nicolò Pagan
    Citation: Applied Network Science 2023 8:46
  19. Recent advancements have been made in the development of cell-based in-vitro neuronal networks, or organoids. In order to better understand the network structure of these organoids, a super-selective algorithm...

    Authors: Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White and Carey E. Priebe
    Citation: Applied Network Science 2023 8:45
  20. We discuss the added value of various approaches for identifying similarities in social network communities based on the content they produce. We show the limitations of observing communities using topology-on...

    Authors: Bojan Evkoski, Petra Kralj Novak and Nikola Ljubešić
    Citation: Applied Network Science 2023 8:40

    The Correction to this article has been published in Applied Network Science 2023 8:47

  21. We investigate the statistical learning of nodal attribute functionals in homophily networks using random walks. Attributes can be discrete or continuous. A generalization of various existing canonical models,...

    Authors: Nelson Antunes, Sayan Banerjee, Shankar Bhamidi and Vladas Pipiras
    Citation: Applied Network Science 2023 8:39
  22. Non-fungible tokens (NFTs) are a type of digital asset that can prove ownership of both virtual and physical assets using blockchains. Even though creating and trading NFTs have experienced a significant incre...

    Authors: Sajjad Alizadeh, Amin Setayesh, Arash Mohamadpour and Behnam Bahrak
    Citation: Applied Network Science 2023 8:38
  23. In times of a global pandemic, public transit can be crucial to spreading viruses, especially in big cities. Many works have shown that the human infection risk could be extremely high due to the length of exp...

    Authors: Fernanda R. Gubert, Priscila Santin, Mauro Fonseca, Anelise Munaretto and Thiago H. Silva
    Citation: Applied Network Science 2023 8:37
  24. Some phenotypical changes may be related to changes in the associations among genes. The set of such associations is referred to as gene interaction (or association) networks. An association network represents...

    Authors: Pietro Hiram Guzzi, Francesca Cortese, Gaia Chiara Mannino, Elisabetta Pedace, Elena Succurro, Francesco Andreozzi and Pierangelo Veltri
    Citation: Applied Network Science 2023 8:36
  25. In the Bitcoin protocol, dust refers to small amounts of currency that are lower than the fee required to spend them in a transaction. Although “economically irrational”, dust is commonly used for achieving un...

    Authors: Matteo Loporchio, Anna Bernasconi, Damiano Di Francesco Maesa and Laura Ricci
    Citation: Applied Network Science 2023 8:34
  26. Interactive programming environments are powerful tools for promoting innovative network thinking, teaching science of complexity, and exploring emergent phenomena. This paper reports on our recent development...

    Authors: Ayan Chatterjee, Qingtao Cao, Amirhossein Sajadi and Babak Ravandi
    Citation: Applied Network Science 2023 8:33
  27. The widely used characterization of scale-free networks as “robust-yet-fragile” originates primarily from experiments on instances generated by preferential attachment. According to this characterization, scal...

    Authors: Rouzbeh Hasheminezhad and Ulrik Brandes
    Citation: Applied Network Science 2023 8:32
  28. Role discovery is the task of dividing the set of nodes on a graph into classes of structurally similar roles. Modern strategies for role discovery typically rely on graph embedding techniques, which are capab...

    Authors: Eoghan Cunningham and Derek Greene
    Citation: Applied Network Science 2023 8:28
  29. The Artificial Benchmark for Community Detection graph (ABCD) is a random graph model with community structure and power-law distribution for both degrees and community sizes. The model generates graphs with simi...

    Authors: Bogumił Kamiński, Paweł Prałat and François Théberge
    Citation: Applied Network Science 2023 8:25
  30. Protecting medical privacy can create obstacles in the analysis and distribution of healthcare graphs and statistical inferences accompanying them. We pose a graph simulation model which generates networks usi...

    Authors: Carly A. Bobak, Yifan Zhao, Joshua J. Levy and A. James O’Malley
    Citation: Applied Network Science 2023 8:23
  31. The use of data and algorithms in the social sciences allows for exciting progress, but also poses epistemological challenges. Operations that appear innocent and purely technical may profoundly influence fina...

    Authors: Alberto Cottica, Veronica Davidov, Magdalena Góralska, Jan Kubik, Guy Melançon, Richard Mole, Bruno Pinaud and Wojciech Szymański
    Citation: Applied Network Science 2023 8:22
  32. Empirical studies of the spread of something through social networks, a process often called diffusion, tend to rely on network data assembled from the measurement of multiple kinds of social ties. These can b...

    Authors: Jennifer M. Larson and Pedro L. Rodriguez
    Citation: Applied Network Science 2023 8:21

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