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  1. 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:

  2. 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:

  3. 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

    Published on:

  4. 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

    Published on:

  5. 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:

  6. 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:

  7. 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:

  8. 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:

  9. 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

  10. 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:

  11. 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:

  12. 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:

  13. 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:

  14. 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:

  15. 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:

  16. 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:

  17. 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

    Published on:

  18. 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:

  19. 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:

  20. 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

  21. 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

  22. 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:

  23. 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:

  24. 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:

  25. 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:

  26. 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:

  27. 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

    Content type: Research

    Published on:

  28. 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

    Content type: Research

    Published on:

  29. Most real-world graphs collected from the Web like Web graphs and social network graphs are partially discovered or crawled. This leads to inaccurate estimates of graph properties based on link analysis such as P...

    Authors: Helge Holzmann, Avishek Anand and Megha Khosla

    Citation: Applied Network Science 2019 4:86

    Content type: Research

    Published on:

  30. 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

    Content type: Research

    Published on:

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

  31. Nowadays, research has found a strong relationship between genomic status and occurrence of disease. Cancer is one of the most common diseases that leads to a high annual mortality rate worldwide, and the dise...

    Authors: Seyed Mohammad Razavi, Farzaneh Rami, Seyede Houri Razavi and Changiz Eslahchi

    Citation: Applied Network Science 2019 4:83

    Content type: Research

    Published on:

  32. A main challenge in mining network-based data is finding effective ways to represent or encode graph structures so that it can be efficiently exploited by machine learning algorithms. Several methods have focu...

    Authors: Leonardo Gutiérrez-Gómez and Jean-Charles Delvenne

    Citation: Applied Network Science 2019 4:82

    Content type: Research

    Published on:

  33. The existence of groups of nodes with common characteristics and the relationships between these groups are important factors influencing the structures of social, technological, biological, and other networks...

    Authors: Milos Kudelka, Eliska Ochodkova, Sarka Zehnalova and Jakub Plesnik

    Citation: Applied Network Science 2019 4:81

    Content type: Research

    Published on:

  34. Similarity measures are used extensively in machine learning and data science algorithms. The newly proposed graph Relative Hausdorff (RH) distance is a lightweight yet nuanced similarity measure for quantifyi...

    Authors: Sinan G. Aksoy, Kathleen E. Nowak, Emilie Purvine and Stephen J. Young

    Citation: Applied Network Science 2019 4:80

    Content type: Research

    Published on:

  35. This study examines the interface of three elements during co-contagion diffusion: the synergy between contagions, the dormancy rate of each individual contagion, and the multiplex network topology. Dormancy is d...

    Authors: Ho-Chun Herbert Chang and Feng Fu

    Citation: Applied Network Science 2019 4:78

    Content type: Research

    Published on:

  36. Recent neural networks designed to operate on graph-structured data have proven effective in many domains. These graph neural networks often diffuse information using the spatial structure of the graph. We pro...

    Authors: Stefan Dernbach, Arman Mohseni-Kabir, Siddharth Pal, Miles Gepner and Don Towsley

    Citation: Applied Network Science 2019 4:76

    Content type: Research

    Published on:

  37. Evaluating scientists based on their scientific production is a controversial topic. Nevertheless, bibliometrics and algorithmic approaches can assist traditional peer review in numerous tasks, such as attribu...

    Authors: Jorge Silva, David Aparício and Fernando Silva

    Citation: Applied Network Science 2019 4:74

    Content type: Research

    Published on:

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