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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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

  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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

  28. 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

  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. The success of graph embeddings or nodrepresentation learning in a variety of downstream tasks, such as node classification, link prediction, and recommendation systems, has led to their popularity in recent y...

    Authors: Saba A. Al-Sayouri, Danai Koutra, Evangelos E. Papalexakis and Sarah S. Lam
    Citation: Applied Network Science 2019 4:88
  35. We derive complexity estimates for two classes of deterministic networks: the Boolean networks S(Bn, m), which compute the Boolean vector-functions Bn, m, and the classes of graphs ...

    Authors: Alexander Goryashko, Leonid Samokhine and Pavel Bocharov
    Citation: Applied Network Science 2019 4:87
  36. The unveiling of communities within a network or graph, and the hierarchization of its members that results is of utmost importance in areas ranging from social to biochemical networks, from electronic circuit...

    Authors: Zineb Felfli, Roy George, Khalil Shujaee and Mohamed Kerwat
    Citation: Applied Network Science 2019 4:85

    The Correction to this article has been published in Applied Network Science 2020 5:43

Annual journal metrics

  • Citation Impact 2023
    Journal Impact Factor: 1.3
    5-year Journal Impact Factor: N/A
    Source Normalized Impact per Paper (SNIP): 0.955
    SCImago Journal Rank (SJR): 0.526

    Speed 2023
    Submission to first editorial decision (median days): 11
    Submission to acceptance (median days): 119

    Usage 2023
    Downloads: 581,134
    Altmetric mentions: 776

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