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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. Worldwide urbanization calls for a deeper understanding of epidemic spreading within urban environments. Here, we tackle this problem through an agent-based model, in which agents move in a two-dimensional phy...

    Authors: Matthieu Nadini, Lorenzo Zino, Alessandro Rizzo and Maurizio Porfiri
    Citation: Applied Network Science 2020 5:68
  18. We present a model of worldwide crisis contagion based on the Google matrix analysis of the world trade network obtained from the UN Comtrade database. The fraction of bankrupted countries exhibits an on-off phas...

    Authors: Célestin Coquidé, José Lages and Dima L. Shepelyansky
    Citation: Applied Network Science 2020 5:67
  19. The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and ...

    Authors: Iain J. Cruickshank and Kathleen M. Carley
    Citation: Applied Network Science 2020 5:66
  20. Relationships in real systems are often not binary, but of a higher order, and therefore cannot be faithfully modelled by graphs, but rather need hypergraphs. In this work, we systematically develop formal too...

    Authors: Wilmer Leal, Marzieh Eidi and Jürgen Jost
    Citation: Applied Network Science 2020 5:65
  21. The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is ...

    Authors: Luca De Benedictis and Silvia Leoni
    Citation: Applied Network Science 2020 5:64
  22. Clustering is an essential technique for network analysis, with applications in a diverse range of fields. Although spectral clustering is a popular and effective method, it fails to consider higher-order stru...

    Authors: William G. Underwood, Andrew Elliott and Mihai Cucuringu
    Citation: Applied Network Science 2020 5:62
  23. Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive ...

    Authors: Timothy LaRock, Timothy Sakharov, Sahely Bhadra and Tina Eliassi-Rad
    Citation: Applied Network Science 2020 5:60
  24. The daily exposure of social media users to propaganda and disinformation campaigns has reinvigorated the need to investigate the local and global patterns of diffusion of different (mis)information content on...

    Authors: Stefano Guarino, Noemi Trino, Alessandro Celestini, Alessandro Chessa and Gianni Riotta
    Citation: Applied Network Science 2020 5:59
  25. Complex networks are usually characterized by the presence of small and recurrent patterns of interactions between nodes, called network motifs. These small modules can help to elucidate the structure and the ...

    Authors: Emanuele Martorana, Giovanni Micale, Alfredo Ferro and Alfredo Pulvirenti
    Citation: Applied Network Science 2020 5:58
  26. The team formation problem has existed for many years in various guises. One important challenge in the team formation problem is to produce small teams that have a required set of skills. We propose a framewo...

    Authors: Peter Keane, Faisal Ghaffar and David Malone
    Citation: Applied Network Science 2020 5:57
  27. A popular approach for understanding complex systems is a network analytic one: the system’s entities and their interactions are represented by a graph structure such that readily available methods suitable fo...

    Authors: Mareike Bockholt and Katharina Anna Zweig
    Citation: Applied Network Science 2020 5:56
  28. The paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practi...

    Authors: Stefan Bornhofen and Marten Düring
    Citation: Applied Network Science 2020 5:54
  29. Recent work has employed information theory in social and complex networks. Studies often discuss entropy in the degree distributions of a network. However, no specific work on entropy exists in clique network...

    Authors: Marcelo do Vale Cunha, Carlos Cesar Ribeiro Santos, Marcelo Albano Moret and Hernane Borges de Barros Pereira
    Citation: Applied Network Science 2020 5:53
  30. Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwi...

    Authors: Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy and Balaraman Ravindran
    Citation: Applied Network Science 2020 5:52
  31. Community detection is one of the most important tasks in network analysis. It is increasingly clear that quality measures are not sufficient for assessing communities and structural properties play a key hole...

    Authors: Vinícius da Fonseca Vieira, Carolina Ribeiro Xavier and Alexandre Gonçalves Evsukoff
    Citation: Applied Network Science 2020 5:51
  32. Traffic is a challenge in rural and urban areas alike with negative effects ranging from congestion to air pollution. Ride-sharing poses an appealing alternative to personal cars, combining the traffic-reducin...

    Authors: Debsankha Manik and Nora Molkenthin
    Citation: Applied Network Science 2020 5:49
  33. The study of co-expression programs in the context of cancer can help to elucidate the genetic mechanisms that are altered and lead to the disease. The identification of gene co-expression patterns, unique to ...

    Authors: Rodrigo Dorantes-Gilardi, Diana García-Cortés, Enrique Hernández-Lemus and Jesús Espinal-Enríquez
    Citation: Applied Network Science 2020 5:47
  34. The position of a node in a social network, or node centrality, can be quantified in several ways. Traditionally, it can be defined by considering the local connectivity of a node (degree) and some non-local c...

    Authors: Wei-Chung Liu, Liang-Cheng Huang, Chester Wai-Jen Liu and Ferenc Jordán
    Citation: Applied Network Science 2020 5:46
  35. Discovering the node roles in a network helps to solve diverse social problems. Role discovery attempts to predict the node roles from a network structure, and this method has been extensively studied in vario...

    Authors: Shumpei Kikuta, Fujio Toriumi, Mao Nishiguchi, Shu Liu, Tomoki Fukuma, Takanori Nishida and Shohei Usui
    Citation: Applied Network Science 2020 5:45

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