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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections.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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. Global mobility and migration of scientists is an important modern phenomenon with economic and political implications. As scientists become ever more footloose it is important to identify general patterns and...

    Authors: Luca Verginer and Massimo Riccaboni
    Citation: Applied Network Science 2020 5:38
  17. Virtually all molecular interaction networks (MINs), irrespective of organism or physiological context, have a majority of loosely-connected ‘leaf’ genes interacting with at most 1-3 genes, and a minority of h...

    Authors: Ali A. Atiia, Corbin Hopper, Katsumi Inoue, Silvia Vidal and Jérôme Waldispühl
    Citation: Applied Network Science 2020 5:34
  18. At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a net...

    Authors: Bastian Prasse, Massimo A. Achterberg, Long Ma and Piet Van Mieghem
    Citation: Applied Network Science 2020 5:35
  19. 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
  20. Finding graph indices which are unbiased to network size and density is of high importance both within a given field and across fields for enhancing comparability of modern network science studies. The degree ...

    Authors: Keith M. Smith and Javier Escudero
    Citation: Applied Network Science 2020 5:32
  21. In Communication Theory, intermedia agenda-setting refers to the influence that different news sources may have on each other, and how this subsequently affects the breadth of information that is presented to ...

    Authors: Samuel Stern, Giacomo Livan and Robert E. Smith
    Citation: Applied Network Science 2020 5:31
  22. Swarm intelligence is the collective behavior emerging in systems with locally interacting components. Because of their self-organization capabilities, swarm-based systems show essential properties for handlin...

    Authors: Marcos Oliveira, Diego Pinheiro, Mariana Macedo, Carmelo Bastos-Filho and Ronaldo Menezes
    Citation: Applied Network Science 2020 5:24
  23. Hacks are one of the most damaging types of cryptocurrency related crime, accounting for billions of dollars in stolen funds since 2009. Professional investigators at Chainalysis have traced these stolen funds...

    Authors: Daniel Goldsmith, Kim Grauer and Yonah Shmalo
    Citation: Applied Network Science 2020 5:22
  24. Many illicit markets are transnational in nature: illicit products are consumed in a country different from the one in which they were produced. Therefore, reconstructing the trafficking network and estimating...

    Authors: Cecilia Meneghini, Alberto Aziani and Marco Dugato
    Citation: Applied Network Science 2020 5:21
  25. Illicit wildlife trafficking poses a threat to the conservation of species and ecosystems, and represents a fundamental source of biodiversity loss, alongside climate change and large-scale land degradation. D...

    Authors: Felber J. Arroyave, Alexander M. Petersen, Jeffrey Jenkins and Rafael Hurtado
    Citation: Applied Network Science 2020 5:20
  26. Large-scale network mining and analysis is key to revealing the underlying dynamics of networks, not easily observable before. Lately, there is a fast-growing interest in learning low-dimensional continuous re...

    Authors: Farzaneh Heidari and Manos Papagelis
    Citation: Applied Network Science 2020 5:18
  27. The growing interconnectivity of socio-economic systems requires one to treat multiple relevant social and economic variables simultaneously as parts of a strongly interacting complex system. Here, we analyze ...

    Authors: Stephen Dipple, Abhishek Choudhary, James Flamino, Boleslaw K. Szymanski and G. Korniss
    Citation: Applied Network Science 2020 5:17
  28. In this work we give a community detection algorithm in which the communities both respects the intrinsic order of a directed acyclic graph and also finds similar nodes. We take inspiration from classic simila...

    Authors: Vaiva Vasiliauskaite and Tim S. Evans
    Citation: Applied Network Science 2020 5:15
  29. Correlation networks have been a popular way of inferring a financial network due to the simplicity of construction and the ease of interpretability. However two variables which share a common cause can be cor...

    Authors: Tristan Millington and Mahesan Niranjan
    Citation: Applied Network Science 2020 5:11

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