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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Stochastic dynamical systems in which local interactions give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring the unknown interaction struct...

    Authors: Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler and Verena Wolf
    Citation: Applied Network Science 2023 8:18
  7. The fractal nature of complex networks has received a great deal of research interest in the last two decades. Similarly to geometric fractals, the fractality of networks can also be defined with the so-called...

    Authors: Enikő Zakar-Polyák, Marcell Nagy and Roland Molontay
    Citation: Applied Network Science 2023 8:17

    The Correction to this article has been published in Applied Network Science 2023 8:26

  8. The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. However, few studies look at how both ...

    Authors: Shiv G. Yücel, Rafael H. M. Pereira, Pedro S. Peixoto and Chico Q. Camargo
    Citation: Applied Network Science 2023 8:16
  9. Genealogical networks (i.e. family trees) are of growing interest, with the largest known data sets now including well over one billion individuals. Interest in family history also supports an 8.5 billion doll...

    Authors: Zachary M. Boyd, Nick Callor, Taylor Gledhill, Abigail Jenkins, Robert Snellman, Benjamin Webb and Raelynn Wonnacott
    Citation: Applied Network Science 2023 8:15
  10. In this paper, we address the problem of earthquake declustering, and propose a k-nearest neighbors approach based on the selection of multiple-parent nodes with respect to each of the given earthquakes, which ca...

    Authors: Yuki Yamagishi, Kazumi Saito, Kazuro Hirahara and Naonori Ueda
    Citation: Applied Network Science 2023 8:14
  11. Systems Thinking (ST) has become essential for practitioners and experts when dealing with turbulent and complex environments. Twitter medium harbors social capital including systems thinkers, however there ar...

    Authors: Harun Pirim, Morteza Nagahi, Oumaima Larif, Mohammad Nagahisarchoghaei and Raed Jaradat
    Citation: Applied Network Science 2023 8:12
  12. We investigate automatic methods to assess COVID vaccination views in Twitter content. Vaccine skepticism has been a controversial topic of long history that has become more important than ever with the COVID-...

    Authors: Ferenc Béres, Tamás Vilmos Michaletzky, Rita Csoma and András A. Benczúr
    Citation: Applied Network Science 2023 8:11
  13. The study investigates to what degree Indonesia’s large-scale decentralization and democratization changed corruption networks. A role structure approach is developed to move current analysis of dyad-level str...

    Authors: Mala Sondang Silitonga, Rafael Wittek, Tom A. B. Snijders and Liesbet Heyse
    Citation: Applied Network Science 2023 8:8
  14. This study outlines an efficient weighted network centrality measure approach and its application in network pharmacology for exploring mechanisms of action of the Ruellia prostrata (RP) and Ruellia bignoniiflora

    Authors: Peter Juma Ochieng, Abrar Hussain, József Dombi and Miklós Krész
    Citation: Applied Network Science 2023 8:7
  15. The graph-theoretic based studies employing bipartite network approach mostly focus on surveying the statistical properties of the structure and behavior of the network systems under the domain of complex netw...

    Authors: Chin Ying Liew, Jane Labadin, Woon Chee Kok and Monday Okpoto Eze
    Citation: Applied Network Science 2023 8:6
  16. We propose a dynamic network sampling scheme to optimize block recovery for stochastic blockmodel in the case where it is prohibitively expensive to observe the entire graph. Theoretically, we provide justific...

    Authors: Cong Mu, Youngser Park and Carey E. Priebe
    Citation: Applied Network Science 2023 8:5
  17. This study aims to improve our understanding of criminal accomplice selection by studying the evolution of co-offending networks—i.e., networks that connect those who commit crimes together. To this end, we te...

    Authors: Alberto Nieto, Toby Davies and Hervé Borrion
    Citation: Applied Network Science 2023 8:4
  18. Recent advancements in network science showed that the topological credentials of the elements (i.e., links) in a network carry important implications. Likewise, roadway segments (i.e., links) in a road networ...

    Authors: Md Ashraf Ahmed, H. M. Imran Kays and Arif Mohaimin Sadri
    Citation: Applied Network Science 2023 8:2
  19. By applying network analysis techniques to large input–output system, we identify key sectors in the local/regional economy. We overcome the limitations of traditional measures of centrality by using random-wa...

    Authors: Fernando DePaolis, Phil Murphy and M. Clara De Paolis Kaluza
    Citation: Applied Network Science 2022 7:86
  20. In this paper, we propose a general framework for the reconstruction of the underlying cross-regional transmission network contributing to the spread of an infectious disease. We employ an autoregressive model...

    Authors: Sara Najem, Stefano Monni, Rola Hatoum, Hawraa Sweidan, Ghaleb Faour, Chadi Abdallah, Nada Ghosn, Hamad Hassan and Jihad Touma
    Citation: Applied Network Science 2022 7:85
  21. The deluge of network datasets demands a standard way to effectively and succinctly summarize network datasets. Building on similar efforts to standardize the documentation of models and datasets in machine le...

    Authors: James Bagrow and Yong-Yeol Ahn
    Citation: Applied Network Science 2022 7:84
  22. Fraud, corruption, and collusion are the most common types of crime in public procurement processes; they produce significant monetary losses, inefficiency, and misuse of the public treasury. However, empirica...

    Authors: Marcos S. Lyra, Bruno Damásio, Flávio L. Pinheiro and Fernando Bacao
    Citation: Applied Network Science 2022 7:83
  23. Social networks have been shown to enhance player experience in online games and to be important for the players, who often build complex communities. In online and mobile games, the behavior of players is bur...

    Authors: María Óskarsdóttir, Kristín Eva Gísladóttir, Ragnar Stefánsson, Damian Aleman and Carlos Sarraute
    Citation: Applied Network Science 2022 7:82
  24. The detection of communities of nodes is an important task in understanding the structure of networks. Multiple approaches have been developed to tackle this problem, many of which are in common usage in real-...

    Authors: Sophie Sadler, Derek Greene and Daniel Archambault
    Citation: Applied Network Science 2022 7:81
  25. Many countries that had early access to COVID-19 vaccines implemented vaccination strategies that prioritized health care workers and the elderly. As barriers to access eased, vaccine prioritization strategies...

    Authors: Katherine Klise, Walt Beyeler, Erin Acquesta, Haedi Thelen, Monear Makvandi and Patrick Finley
    Citation: Applied Network Science 2022 7:80
  26. Correlation networks derived from multivariate data appear in many applications across the sciences. These networks are usually dense and require sparsification to detect meaningful structure. However, current...

    Authors: Magnus Neuman, Viktor Jonsson, Joaquín Calatayud and Martin Rosvall
    Citation: Applied Network Science 2022 7:75
  27. Modelling complex biological systems is necessary for their study and understanding. Biomodels is a repository of peer-reviewed models represented in the Systems Biology Markup Language (SBML). Most of these m...

    Authors: Athénaïs Vaginay, Taha Boukhobza and Malika Smaïl-Tabbone
    Citation: Applied Network Science 2022 7:73
  28. Centrality, in some sense, captures the extent to which a vertex controls the flow of information in a network. Here, we propose Local Detour Centrality as a novel centrality-based betweenness measure that cap...

    Authors: Haim Cohen, Yinon Nachshon, Paz M. Naim, Jürgen Jost, Emil Saucan and Anat Maril
    Citation: Applied Network Science 2022 7:72
  29. In this work, we introduce a new methodology for inferring the interaction structure of discrete valued time series which are Poisson distributed. While most related methods are premised on continuous state st...

    Authors: Jeremie Fish, Jie Sun and Erik Bollt
    Citation: Applied Network Science 2022 7:70

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