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Special Issue of the 8th International Conference on Complex Networks and Their Applications

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Since 2012, the International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS) brings together researchers from different scientific communities working on areas related to Network Science in order to cross-fertilize ideas among scientists, For the Eighth edition of this annual event, 470 submissions have been received from around the world. The contributions selected for submission to this special issue reflect the latest problems, advances, and diversity within the Network Science community.

Lead Guest Editor
Chantal Cherifi, France

Guest Editors
Roberto Interdonato, France
Manuel Marques-Pita, Portugal
Michael Schaub, UK
Matteo Zignani, Italy


  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

    Content type: Research

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  2. 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

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  3. 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

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  4. 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

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  5. 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

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  6. 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

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  7. 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

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  8. 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

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  9. 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

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  10. 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

    Content type: Research

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  11. 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

    Content type: Research

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  12. 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

    Content type: Research

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  13. 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

    Content type: Research

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  14. 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

    Content type: Research

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  15. 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

    Content type: Research

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  16. 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

    Content type: Research

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  17. 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

    Content type: Research

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  18. 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

    Content type: Research

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  19. Supplier Impersonation Fraud (SIF) is a rising issue for Business-to-Business companies. The use of remote and quick digital transactions has made the task of identifying fraudsters more difficult. In this pap...

    Authors: Rémi Canillas, Omar Hasan, Laurent Sarrat and Lionel Brunie

    Citation: Applied Network Science 2020 5:40

    Content type: Research

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  20. Spectator periodicals contributed to spreading the ideas of the Age of Enlightenment, a turning point in human history and the foundation of our modern societies. In this work, we study the spirit and atmosphe...

    Authors: Philipp Koncar, Alexandra Fuchs, Elisabeth Hobisch, Bernhard C. Geiger, Martina Scholger and Denis Helic

    Citation: Applied Network Science 2020 5:33

    Content type: Research

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