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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. In complex networks, the role of a node is based on the aggregation of structural features and functions. However, in real networks, it has been observed that a single node can have multiple roles. Here, the r...

    Authors: Shu Liu, Fujio Toriumi, Mao Nishiguchi and Shohei Usui
    Citation: Applied Network Science 2022 7:67
  17. The emergency generated by the current COVID-19 pandemic has claimed millions of lives worldwide. There have been multiple waves across the globe that emerged as a result of new variants, due to arising from u...

    Authors: Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo and Maurizio Porfiri
    Citation: Applied Network Science 2022 7:66
  18. The present paper explores the relationship between highly intercited papers in the k-max of citation networks and an author’s impact from the Mexican National System of Researchers (SNI). We investigate whether ...

    Authors: Rodrigo Dorantes-Gilardi, Aurora A. Ramírez-Álvarez and Diana Terrazas-Santamaría
    Citation: Applied Network Science 2022 7:58
  19. Spreading processes are important drivers of change in social systems. To understand the mechanisms of spreading it is fundamental to have information about the underlying contact network and the dynamical par...

    Authors: Margarita Kostré, Vikram Sunkara, Christof Schütte and Nataša Djurdjevac Conrad
    Citation: Applied Network Science 2022 7:53
  20. We propose and extend a qualitative, complex systems methodology from cognitive engineering, known as the abstraction hierarchy, to model how potential interventions that could be carried out by social media plat...

    Authors: Kenneth Joseph, Huei-Yen Winnie Chen, Stefania Ionescu, Yuhao Du, Pranav Sankhe, Aniko Hannak and Atri Rudra
    Citation: Applied Network Science 2022 7:49
  21. Conventional approaches to improving the representation of women on the boards of major companies typically focus on increasing the number of women appointed to these positions. We show that this strategy alon...

    Authors: Deb Verhoeven, Katarzyna Musial, Gerhard Hambusch, Samir Ghannam and Mikhail Shashnov
    Citation: Applied Network Science 2022 7:48
  22. From predicting the epidemic threshold of a disease outbreak to anticipating the stability of a complex system, analysis of spectra of the adjacency matrices of the underlying networks play a pivotal role. Des...

    Authors: Ankit Mishra, Ranveer Singh and Sarika Jalan
    Citation: Applied Network Science 2022 7:47
  23. We develop a framework for incorporating edge-dependent vertex weights (EDVWs) into the hypergraph minimum s-t cut problem. These weights are able to reflect different importance of vertices within a hyperedge, t...

    Authors: Yu Zhu and Santiago Segarra
    Citation: Applied Network Science 2022 7:45

Annual journal metrics

  • 2022 Citation Impact
    2.2 - 2-year Impact Factor
    1.117 - SNIP (Source Normalized Impact per Paper)
    0.603 - SJR (SCImago Journal Rank)

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    12 days submission to first editorial decision for all manuscripts (Median)
    119 days submission to accept (Median)

    2023 Usage 
    776 Altmetric mentions

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