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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. The dense social contact networks and high mobility in congested urban areas facilitate the rapid transmission of infectious diseases. Typical mechanistic epidemiological models are either based on uniform mix...

    Authors: Rohan Patil, Raviraj Dave, Harsh Patel, Viraj M. Shah, Deep Chakrabarti and Udit Bhatia
    Citation: Applied Network Science 2021 6:4
  19. Many real systems are extremely vulnerable against attacks, since they are scale-free networks as commonly existing topological structure in them. Thus, in order to improve the robustness of connectivity, seve...

    Authors: Masaki Chujyo and Yukio Hayashi
    Citation: Applied Network Science 2021 6:3
  20. In many real applications of semi-supervised learning, the guidance provided by a human oracle might be “noisy” or inaccurate. Human annotators will often be imperfect, in the sense that they can make subjecti...

    Authors: Elham Alghamdi, Ellen Rushe, Brian Mac Namee and Derek Greene
    Citation: Applied Network Science 2020 5:98
  21. More and more diseases have been found to be strongly correlated with disturbances in the microbiome constitution, e.g., obesity, diabetes, or some cancer types. Thanks to modern high-throughput omics technolo...

    Authors: Kateryna Melnyk, Stefan Klus, Grégoire Montavon and Tim O. F. Conrad
    Citation: Applied Network Science 2020 5:96
  22. Random geometric graphs have become now a popular object of research. Defined rather simply, these graphs describe real networks much better than classical Erdős–Rényi graphs due to their ability to produce ti...

    Authors: Konstantin E. Avrachenkov and Andrei V. Bobu
    Citation: Applied Network Science 2020 5:92
  23. Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model o...

    Authors: Clara Pizzuti, Annalisa Socievole, Bastian Prasse and Piet Van Mieghem
    Citation: Applied Network Science 2020 5:91
  24. This study models cross-national attitudes towards immigrants in East and Southeast Asia as a signed and weighted bipartite network of countries and evaluative reactions to a variety of political issues, or de...

    Authors: Rachael Kei Kawasaki and Yuichi Ikeda
    Citation: Applied Network Science 2020 5:85
  25. Social media like Twitter or Instagram play the role of fertile platforms for self-exhibition and allow their users to earn a good repute. People higher in grandiosity share their contents in a charismatic way...

    Authors: Fakhra Jabeen, Charlotte Gerritsen and Jan Treur
    Citation: Applied Network Science 2020 5:84
  26. Think tanks have become central players in the political and policy ecosystem of the United States, yet the communication and coordination strategies and connections between them remain relatively unexamined. ...

    Authors: Alexander C. Furnas
    Citation: Applied Network Science 2020 5:83
  27. The role of misinformation diffusion during a pandemic is crucial. An aspect that requires particular attention in the analysis of misinfodemics is the rationale of the source of false information, in particul...

    Authors: Lorenzo Prandi and Giuseppe Primiero
    Citation: Applied Network Science 2020 5:82
  28. We perform an extensive analysis of how sampling impacts the estimate of several relevant network measures. In particular, we focus on how a sampling strategy optimized to recover a particular spectral central...

    Authors: Nicolò Ruggeri and Caterina De Bacco
    Citation: Applied Network Science 2020 5:81

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