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Applied Network Science
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  2. 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

    Content type: Review

    Published on:

  4. 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

    Content type: Correction

    Published on:

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

  6. 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

    Content type: Research

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  7. 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

    Content type: Research

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  8. 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

    Content type: Research

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  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

    Content type: Research

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  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

    Content type: Research

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  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

    Content type: Research

    Published on:

  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

    Content type: Research

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  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

    Content type: Research

    Published on:

  16. 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

    Content type: Research

    Published on:

  18. 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

    Content type: Research

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  19. 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

    Content type: Research

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  20. 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

    Content type: Research

    Published on:

  21. 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

    Content type: Research

    Published on:

  24. 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

    Content type: Research

    Published on:

  25. 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

    Content type: Research

    Published on:

  26. 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

    Content type: Correction

    Published on:

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

  27. 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

    Content type: Review

    Published on:

  29. 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

    Content type: Research

    Published on:

  30. 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

    Content type: Case study

    Published on:

  31. 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

    Content type: Research

    Published on:

  32. 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

    Content type: Research

    Published on:

  33. 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

    Content type: Research

    Published on:

  35. 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

    Content type: Research

    Published on:

  38. 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

    Content type: Research

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  39. 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

    Content type: Research

    Published on:

  40. 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

    Content type: Research

    Published on:

  41. 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

    Content type: Research

    Published on:

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

  43. 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

    Content type: Research

    Published on:

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

  44. 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

    Content type: Research

    Published on:

  46. Dynamical processes running on different networks behave differently, which makes the reconstruction of the underlying network from dynamical observations possible. However, to what level of detail the network...

    Authors: Long Ma, Qiang Liu and Piet Van Mieghem

    Citation: Applied Network Science 2019 4:93

    Content type: Research

    Published on:

  48. Urban mobility data are important to areas ranging from traffic engineering to the analysis of outbreaks and disasters. In this paper, we study mobility data from a major Brazilian city from a geographical vie...

    Authors: Leonardo Bacelar Lima Santos, Luiz Max Carvalho, Wilson Seron, Flávio C. Coelho, Elbert E. Macau, Marcos G. Quiles and Antônio M. V. Monteiro

    Citation: Applied Network Science 2019 4:91

    Content type: Research

    Published on:

  49. During a single heartbeat, muscle cells in the heart contract and relax. Under healthy conditions, the behaviour of these muscle cells is almost identical from one beat to the next. However, this regular rhyth...

    Authors: Yi Ming Lai, Joshua Veasy, Stephen Coombes and Rüdiger Thul

    Citation: Applied Network Science 2019 4:90

    Content type: Research

    Published on:

  50. This paper details a network-based analysis of the spreading of rodent infestations through a city under varying conditions. Models of two very different cities, Tulsa, OK, USA and Providence, RI, USA, are cre...

    Authors: Dalton Brooks and John Matta

    Citation: Applied Network Science 2019 4:89

    Content type: Research

    Published on:

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  • ISSN: 2364-8228 (electronic)

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