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  1. 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

    Content type: Research

    Published on:

  2. 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

    Content type: Research

    Published on:

  3. 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

    Content type: Research

    Published on:

  4. 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

    Content type: Research

    Published on:

  5. 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

    Content type: Research

    Published on:

  6. 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

    Content type: Research

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  7. 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

    Content type: Research

    Published on:

  8. 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

    Content type: Research

    Published on:

  9. 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

    Content type: Research

    Published on:

  10. 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

    Content type: Research

    Published on:

  11. 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

    Content type: Research

    Published on:

  12. 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

    Content type: Research

    Published on:

  13. 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

    Content type: Research

    Published on:

  14. 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

    Content type: Research

    Published on:

  15. 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

    Content type: Research

    Published on:

  16. 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

    Content type: Research

    Published on:

  17. 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

    Content type: Research

    Published on:

  18. 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

    Content type: Research

    Published on:

  19. 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

    Content type: Research

    Published on:

  20. 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

    Content type: Research

    Published on:

  21. 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

    Content type: Research

    Published on:

  22. In this study, we propose novel centrality measures considering multiple perspectives of nodes or node groups based on the facility location problem on a spatial network. The conventional centrality exclusivel...

    Authors: Takayasu Fushimi, Seiya Okubo and Kazumi Saito

    Citation: Applied Network Science 2020 5:80

    Content type: Research

    Published on:

  23. Social connections that reach distant places are advantageous for individuals, firms and cities, providing access to new skills and knowledge. However, systematic evidence on how firms build global knowledge a...

    Authors: László Lőrincz, Guilherme Kenji Chihaya, Anikó Hannák, Dávid Takács, Balázs Lengyel and Rikard Eriksson

    Citation: Applied Network Science 2020 5:78

    Content type: Research

    Published on:

  24. Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The relevance of the modeled topics strongly depends on the legal context they are u...

    Authors: Kazuki Ashihara, Cheikh Brahim El Vaigh, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima and Hajime Nagahara

    Citation: Applied Network Science 2020 5:77

    Content type: Research

    Published on:

  25. As illustrated by the 2008 global financial crisis, the financial distress of one country can trigger financial distress in other countries. We examine the problem of identifying such “systemically important” ...

    Authors: R. Maria del Rio-Chanona, Yevgeniya Korniyenko, Manasa Patnam and Mason A. Porter

    Citation: Applied Network Science 2020 5:74

    Content type: Research

    Published on:

  26. We aim to explore the connections between structural network inequalities and bank’s customer spending behaviours, within an entire national ecosystem made of natural persons (i.e., an individual human being) ...

    Authors: Alfonso Semeraro, Marcella Tambuscio, Silvia Ronchiadin, Laura Li Puma and Giancarlo Ruffo

    Citation: Applied Network Science 2020 5:76

    Content type: Research

    Published on:

  27. Computational and mathematical modelling towards understanding the structure and dynamics of biological systems has significantly impacted on translational neuroscience to face novel approaches toward neurolog...

    Authors: Hemalatha Sasidharakurup and Shyam Diwakar

    Citation: Applied Network Science 2020 5:72

    Content type: Research

    Published on:

  28. Supply chains enable the flow of goods and services within economic systems. When mapped for the entire economy and geographic locations of a country, supply chains form a spatial web of interactions among sup...

    Authors: Michael Gomez, Susana Garcia, Sarah Rajtmajer, Caitlin Grady and Alfonso Mejia

    Citation: Applied Network Science 2020 5:71

    Content type: Research

    Published on:

  29. Massive migrations have become increasingly prevalent over the last decades. A recent example is the Venezuelan migration crisis across South America, which particularly affects neighboring countries like Colo...

    Authors: Isabella Loaiza Saa, Matej Novak, Alfredo J. Morales and Alex Pentland

    Citation: Applied Network Science 2020 5:70

    Content type: Research

    Published on:

  30. Resources such as FrameNet, which provide sets of semantic frame definitions and annotated textual data that maps into the evoked frames, are important for several NLP tasks. However, they are expensive to bui...

    Authors: Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro and David Martins de Matos

    Citation: Applied Network Science 2020 5:69

    Content type: Research

    Published on:

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