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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. Network analysis of social media provides an important new lens on politics, communication, and their interactions. This lens is particularly prominent in fast-moving events, such as conversations and action i...

    Authors: Joseph H. Tien, Marisa C. Eisenberg, Sarah T. Cherng and Mason A. Porter
    Citation: Applied Network Science 2020 5:10
  16. Hypergraphs offer a natural modeling language for studying polyadic interactions between sets of entities. Many polyadic interactions are asymmetric, with nodes playing distinctive roles. In an academic collab...

    Authors: Philip Chodrow and Andrew Mellor
    Citation: Applied Network Science 2020 5:9
  17. Graph kernels have become an established and widely-used technique for solving classification tasks on graphs. This survey gives a comprehensive overview of techniques for kernel-based graph classification dev...

    Authors: Nils M. Kriege, Fredrik D. Johansson and Christopher Morris
    Citation: Applied Network Science 2020 5:6
  18. Following publication of the original article [1], the author reported to remove the name from the acknowledgements in the original article.

    Authors: Takahiro Yabe, Satish V. Ukkusuri and P. Suresh C. Rao
    Citation: Applied Network Science 2020 5:4

    The original article was published in Applied Network Science 2019 4:98

  19. Although the cluster theory literature is bountiful in economics and regional science, there is still a lack of understanding of how the geographical scales of analysis (neighbourhood, city, region) relate to ...

    Authors: Clémentine Cottineau and Elsa Arcaute
    Citation: Applied Network Science 2020 5:2
  20. The objective of this research is to evaluate whether complex dynamics of urban drainage networks (UDNs) can be expressed in terms of their structure, i.e. topological characteristics. The present study focuse...

    Authors: Julian D. Reyes-Silva, Jonatan Zischg, Christopher Klinkhamer, P. Suresh C. Rao, Robert Sitzenfrei and Peter Krebs
    Citation: Applied Network Science 2020 5:1
  21. Cryptocurrencies as a new way of transferring assets and securing financial transactions have gained popularity in recent years. Transactions in cryptocurrencies are publicly available, hence, statistical stud...

    Authors: Amir Pasha Motamed and Behnam Bahrak
    Citation: Applied Network Science 2019 4:131
  22. Random Boolean Networks (RBNs) are an arguably simple model which can be used to express rather complex behaviour, and have been applied in various domains. RBNs may be controlled using rule-based machine lear...

    Authors: Matthew R. Karlsen, Sotiris K. Moschoyiannis and Vlad B. Georgiev
    Citation: Applied Network Science 2019 4:129
  23. In a metropolis, people movements design intricate patterns that change on very short temporal scales. Population mobility obviously is not random, but driven by the land uses of the city. Such an urban ecosys...

    Authors: Alba Bernini, Amadou Lamine Toure and Renato Casagrandi
    Citation: Applied Network Science 2019 4:128
  24. Understanding criminal activities, their structure and dynamics are fundamental for designing tools for crime prediction that can also guide crime prevention. Here, we study crimes committed in city community ...

    Authors: Xiang Niu, Amr Elsisy, Noemi Derzsy and Boleslaw K. Szymanski
    Citation: Applied Network Science 2019 4:127
  25. In this work we introduce and analyze a new and comprehensive multilayer dataset covering a wide spectrum of international relationships between coutries. We select two cross sections of the dataset correspond...

    Authors: Giovanni Bonaccorsi, Massimo Riccaboni, Giorgio Fagiolo and Gianluca Santoni
    Citation: Applied Network Science 2019 4:126
  26. Learning low-dimensional representations of graphs has facilitated the use of traditional machine learning techniques to solving classic network analysis tasks such as link prediction, node classification, com...

    Authors: Seyedsaeed Hajiseyedjavadi, Yu-Ru Lin and Konstantinos Pelechrinis
    Citation: Applied Network Science 2019 4:125
  27. We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model. Block-constrained configuration models build ...

    Authors: Giona Casiraghi
    Citation: Applied Network Science 2019 4:123
  28. Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for this purpose. When an audience w...

    Authors: Youssef Mourchid, Benjamin Renoust, Olivier Roupin, Lê Văn, Hocine Cherifi and Mohammed El Hassouni
    Citation: Applied Network Science 2019 4:121
  29. Modern software development is often a collaborative effort involving many authors through the re-use and sharing of code through software libraries. Modern software “ecosystems” are complex socio-technical sy...

    Authors: Oliver A. Blanthorn, Colin M. Caine and Eva M. Navarro-López
    Citation: Applied Network Science 2019 4:120
  30. The voter model has been widely studied due to its simple formulation and attainable theoretical treatment. The study of the “active links”, edges that connect nodes in different states, has been a key element...

    Authors: Inés Caridi, Sergio Manterola, Viktoriya Semeshenko and Pablo Balenzuela
    Citation: Applied Network Science 2019 4:119

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