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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Labour mobility within a large city or metropolitan area is a necessary condition for the optimal exploitation of agglomeration economies. We propose a method to establish which municipalities should be consid...

    Authors: Neave O’Clery, Rafael Prieto Curiel and Eduardo Lora
    Citation: Applied Network Science 2019 4:118
  20. During their lifespan, stem- or progenitor cells have the ability to differentiate into more committed cell lineages. Understanding this process can be key in treating certain diseases. However, up until now o...

    Authors: Danilo Pellin, Luca Biasco, Alessandro Aiuti, Maria Clelia Di Serio and Ernst C. Wit
    Citation: Applied Network Science 2019 4:115
  21. A long-standing question for urban and regional planners pertains to the ability to describe urban patterns quantitatively. Cities’ transport infrastructure, particularly street networks, provides an invaluabl...

    Authors: Kira Kempinska and Roberto Murcio
    Citation: Applied Network Science 2019 4:114
  22. Following publication of the original article [1], the author reported that figure 5 numbered correction was not implemented during the production process. The corrected figure can be found below.

    Authors: Victor H. Masias, Tobias Hecking, Fernando Crespo and H. Ulrich Hoppe
    Citation: Applied Network Science 2019 4:113

    The original article was published in Applied Network Science 2019 4:96

  23. One can point to a variety of historical milestones for gender equality in STEM (science, technology, engineering, and mathematics), however, practical effects are incremental and ongoing. It is important to q...

    Authors: Gecia Bravo-Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria and Yael Niv
    Citation: Applied Network Science 2019 4:112
  24. Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamical rules are not observed. The...

    Authors: Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang, Ruyi Tao, Ruyue Xin and Jiang Zhang
    Citation: Applied Network Science 2019 4:110
  25. Urbanization and the continued growth of cities, both demographically and spatially, are topics of research studied across a range of disciplines in the urban millennium — a time in history when the majority o...

    Authors: Amanda Shores, Hanna Johnson, Debbie Fugate and Melinda Laituri
    Citation: Applied Network Science 2019 4:109
  26. We propose a unified framework to represent a wide range of continuous-time discrete-state Markov processes on networks, and show how many network dynamics models in the literature can be represented in this u...

    Authors: Jonathan A. Ward and Martín López-García
    Citation: Applied Network Science 2019 4:108
  27. Important data mining problems such as nearest-neighbor search and clustering admit theoretical guarantees when restricted to objects embedded in a metric space. Graphs are ubiquitous, and clustering and class...

    Authors: José Bento and Stratis Ioannidis
    Citation: Applied Network Science 2019 4:107
  28. Directed contact networks (DCNs) are temporal networks that are useful for analyzing and modeling phenomena in transportation, communications, epidemiology and social networking. Specific sequences of contacts ca...

    Authors: George Cybenko and Steve Huntsman
    Citation: Applied Network Science 2019 4:106
  29. The goal of this study is to demonstrate how network science and graph theory tools and concepts can be effectively used for exploring and comparing semantic spaces of word embeddings and lexical databases. Sp...

    Authors: Alexander Veremyev, Alexander Semenov, Eduardo L. Pasiliao and Vladimir Boginski
    Citation: Applied Network Science 2019 4:104
  30. Humans predominantly form their beliefs based on communication with other humans rather than direct observations, even on matters of facts, such as the shape of the globe or the effects of child vaccinations. ...

    Authors: Evelin Berekméri, Imre Derényi and Anna Zafeiris
    Citation: Applied Network Science 2019 4:101
  31. Distributed algorithms for network science applications are of great importance due to today’s large real-world networks. In such algorithms, a node is allowed only to have local interactions with its immediat...

    Authors: Hamidreza Mahyar, Rouzbeh Hasheminezhad and H Eugene Stanley
    Citation: Applied Network Science 2019 4:100
  32. We consider optimal attacks or immunization schemes on different models of random graphs. We derive bounds for the minimum number of nodes needed to be removed from a network such that all remaining components...

    Authors: Nicole Balashov, Reuven Cohen, Avieli Haber, Michael Krivelevich and Simi Haber
    Citation: Applied Network Science 2019 4:99
  33. Recent disasters have shown the existence of large variance in recovery trajectories across cities that have experienced similar damage levels. Case studies of such events reveal the high complexity of the rec...

    Authors: Takahiro Yabe, Satish V. Ukkusuri and P. Suresh C. Rao
    Citation: Applied Network Science 2019 4:98

    The Correction to this article has been published in Applied Network Science 2020 5:4

  34. This paper proposes a methodological approach to explore the ability to detect social media users based on pedestrian networks and neighborhood attributes. We propose the use of a detection function belonging ...

    Authors: Victor H. Masias, Tobias Hecking, Fernando Crespo and H. Ulrich Hoppe
    Citation: Applied Network Science 2019 4:96

    The Correction to this article has been published in Applied Network Science 2019 4:113

  35. The objective of a community detection algorithm is to group similar nodes that are more connected to each other than with the rest of the network. Several methods have been proposed but many are of high compl...

    Authors: Antonio Maria Fiscarelli, Matthias R. Brust, Grégoire Danoy and Pascal Bouvry
    Citation: Applied Network Science 2019 4:95

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