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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. It is well-established that the process of learning and capability building is core to economic development and structural transformation. Since knowledge is ‘sticky’, a key component of this process is learni...

    Authors: John Fitzgerald, Sanna Ojanperä and Neave O’Clery
    Citation: Applied Network Science 2021 6:38
  10. We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 coun...

    Authors: Justin Loye, Leonardo Ermann and Dima L. Shepelyansky
    Citation: Applied Network Science 2021 6:37
  11. What do football passes and financial transactions have in common? Both are networked walk processes that we can observe, where records take the form of timestamped events that move something tangible from one...

    Authors: Carolina E. S. Mattsson and Frank W. Takes
    Citation: Applied Network Science 2021 6:35
  12. Hospitals constitute highly interconnected systems that bring into contact an abundance of infectious pathogens and susceptible individuals, thus making infection outbreaks both common and challenging. In rece...

    Authors: Ashleigh C. Myall, Robert L. Peach, Andrea Y. Weiße, Siddharth Mookerjee, Frances Davies, Alison Holmes and Mauricio Barahona
    Citation: Applied Network Science 2021 6:34
  13. Over the last decades, severe haze pollution constitutes a major source of far-reaching environmental and human health problems. The formation, accumulation and diffusion of pollution particles occurs under co...

    Authors: Dimitrios M. Vlachogiannis, Yanyan Xu, Ling Jin and Marta C. González
    Citation: Applied Network Science 2021 6:32
  14. Thanks to the widespread availability of large-scale datasets on scholarly outputs, science itself has come under the microscope with the aim of capturing a quantitative understanding of its workings. In this ...

    Authors: Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella and Marco Conti
    Citation: Applied Network Science 2021 6:31
  15. Markov clustering is an effective unsupervised pattern recognition algorithm for data clustering in high-dimensional feature space. However, its community detection performance in complex networks has been dem...

    Authors: Claudio Durán, Alessandro Muscoloni and Carlo Vittorio Cannistraci
    Citation: Applied Network Science 2021 6:29
  16. Collecting and receiving information about the state of a transportation system is essential to effective planning for intelligent transportation systems, whether it be on the part of individual users or manag...

    Authors: Timothy C. Matisziw and Ashkan Gholamialam
    Citation: Applied Network Science 2021 6:28
  17. We study network centrality measures that take into account the specific structure of networks with time-stamped edges. In particular, we explore how such measures can be used to identify nodes most relevant f...

    Authors: Patrick Hoscheit, Éric Anthony and Elisabeta Vergu
    Citation: Applied Network Science 2021 6:26
  18. Understanding the role of individual nodes is a key challenge in the study of spreading processes on networks. In this work we propose a novel metric, the reachability-heterogeneity (RH), to quantify the contr...

    Authors: Iacopo Pozzana, Christos Ellinas, Georgios Kalogridis and Konstantinos Sakellariou
    Citation: Applied Network Science 2021 6:25
  19. We present a modelling framework for the spreading of epidemics on temporal networks from which both the individual-based and pair-based models can be recovered. The proposed temporal pair-based model that is ...

    Authors: Rory Humphries, Kieran Mulchrone, Jamie Tratalos, Simon J. More and Philipp Hövel
    Citation: Applied Network Science 2021 6:23
  20. The DeGroot model for opinion diffusion over social networks dates back to the 1970s and models the mechanism by which information or disinformation spreads through a network, changing the opinions of the agen...

    Authors: Kara Layne Johnson, Jennifer L. Walsh, Yuri A. Amirkhanian, John J. Borkowski and Nicole Bohme Carnegie
    Citation: Applied Network Science 2021 6:22
  21. Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected ...

    Authors: Kate Barnes, Tiernon Riesenmy, Minh Duc Trinh, Eli Lleshi, Nóra Balogh and Roland Molontay
    Citation: Applied Network Science 2021 6:21
  22. Online political advertising is becoming increasingly popular as political campaigns recognize the utility of social network platforms, like Facebook, for reaching and engaging with voters. Yet, contrary to th...

    Authors: Adina Gitomer, Pavel V. Oleinikov, Laura M. Baum, Erika Franklin Fowler and Saray Shai
    Citation: Applied Network Science 2021 6:18
  23. Epidemic spreading is a widely studied process due to its importance and possibly grave consequences for society. While the classical context of epidemic spreading refers to pathogens transmitted among humans ...

    Authors: Martin Sterchi, Cristina Sarasua, Rolf Grütter and Abraham Bernstein
    Citation: Applied Network Science 2021 6:17
  24. Relationships between legal entities can be represented as a large weighted directed graph. In this work, we model the global capital ownership network across a hundred of millions of such entities with the go...

    Authors: Sammy Khalife, Jesse Read and Michalis Vazirgiannis
    Citation: Applied Network Science 2021 6:16
  25. The objective of this study is to show the importance of interspecies links and temporal network dynamics of a multi-species livestock movement network. Although both cattle and sheep networks have been previo...

    Authors: Anne-Sophie Ruget, Gianluigi Rossi, P. Theo Pepler, Gaël Beaunée, Christopher J. Banks, Jessica Enright and Rowland R. Kao
    Citation: Applied Network Science 2021 6:15
  26. The objective of this study is to examine the transmission risk of COVID-19 based on cross-county population co-location data from Facebook. The rapid spread of COVID-19 in the United States has imposed a majo...

    Authors: Chao Fan, Sanghyeon Lee, Yang Yang, Bora Oztekin, Qingchun Li and Ali Mostafavi
    Citation: Applied Network Science 2021 6:14
  27. Infectious disease surveillance is often case-based, focused on people diagnosed and their contacts in a predefined time window, and treated as independent across infections. Network analysis of partners and c...

    Authors: Dana K. Pasquale, Irene A. Doherty, Peter A. Leone, Ann M. Dennis, Erika Samoff, Constance S. Jones, John Barnhart and William C. Miller
    Citation: Applied Network Science 2021 6:13
  28. To what extent can we predict the structure of online conversation trees? We present a generative model to predict the size and evolution of threaded conversations on social media by combining machine learning...

    Authors: John Bollenbacher, Diogo Pacheco, Pik-Mai Hui, Yong-Yeol Ahn, Alessandro Flammini and Filippo Menczer
    Citation: Applied Network Science 2021 6:12
  29. The spatial distribution of population affects disease transmission, especially when shelter in place orders restrict mobility for a large fraction of the population. The spatial network structure of settlemen...

    Authors: Christopher Small and Daniel Sousa
    Citation: Applied Network Science 2021 6:10
  30. Evidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from net...

    Authors: Diego F. Leal and Nicolas L. Harder
    Citation: Applied Network Science 2021 6:8
  31. Vaccination has become one of the most prominent measures for preventing the spread of infectious diseases in modern times. However, mass vaccination of the population may not always be possible due to high co...

    Authors: Tomer Lev and Erez Shmueli
    Citation: Applied Network Science 2021 6:6

Annual journal metrics

  • Citation Impact 2023
    Journal Impact Factor: 1.3
    5-year Journal Impact Factor: N/A
    Source Normalized Impact per Paper (SNIP): 0.955
    SCImago Journal Rank (SJR): 0.526

    Speed 2023
    Submission to first editorial decision (median days): 11
    Submission to acceptance (median days): 119

    Usage 2023
    Downloads: 581,134
    Altmetric mentions: 776

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