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Special Issue of the 7th International Conference on Complex Networks and Their Applications

  1. 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:

  2. 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

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  3. 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

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  4. 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

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  5. 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

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  6. 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

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  7. 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

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  8. 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

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  9. 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

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  10. In this paper, we investigate the relationship between the coupling strengths and the extensive behaviour of the sum of the positive Lyapunov exponents of multiplex networks formed by coupled dynamical units. ...

    Authors: Maria Angélica Araujo and Murilo S. Baptista

    Citation: Applied Network Science 2019 4:73

    Content type: Research

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  11. The friendship paradox is the observation that friends of individuals tend to have more friends or be more popular than the individuals themselves. In this work, we first study local metrics to capture the str...

    Authors: Siddharth Pal, Feng Yu, Yitzchak Novick, Ananthram Swami and Amotz Bar-Noy

    Citation: Applied Network Science 2019 4:71

    Content type: Research

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  12. The availability of the entire Bitcoin transaction history, stored in its public blockchain, offers interesting opportunities for analysing the transaction graph to obtain insight on users behaviour. This pape...

    Authors: Damiano Di Francesco Maesa, Andrea Marino and Laura Ricci

    Citation: Applied Network Science 2019 4:56

    Content type: Research

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  13. This study presents a novel approach to expand the emergent area of social bot research. We employ a methodological framework that aggregates and fuses data from multiple global Twitter conversations with an a...

    Authors: Ross Schuchard, Andrew T. Crooks, Anthony Stefanidis and Arie Croitoru

    Citation: Applied Network Science 2019 4:55

    Content type: Research

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  14. Random graph generators are necessary tools for many network science applications. For example, the evaluation of graph analysis algorithms requires methods for generating realistic synthetic graphs. Typically...

    Authors: Saskia Metzler and Pauli Miettinen

    Citation: Applied Network Science 2019 4:53

    Content type: Research

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  15. We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems subject to a Boltzmann-mesos...

    Authors: Jérôme G. M. Benoit and Saif Eddin G. Jabari

    Citation: Applied Network Science 2019 4:49

    Content type: Research

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  16. In the classic “influence-maximization” (IM) problem, people influence one another to adopt a product and the goal is to identify people to “seed” with the product so as to maximize long-term adoption. Many in...

    Authors: Shankar Iyer and Lada A. Adamic

    Citation: Applied Network Science 2019 4:38

    Content type: Research

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  17. Real network datasets provide significant benefits for understanding phenomena such as information diffusion or network evolution. Yet the privacy risks raised from sharing real graph datasets, even when strip...

    Authors: Sameera Horawalavithana, Juan Arroyo Flores, John Skvoretz and Adriana Iamnitchi

    Citation: Applied Network Science 2019 4:33

    Content type: Research

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  18. We develop and test a rewiring method (originally proposed by Newman) which allows to build random networks having pre-assigned degree distribution and two-point correlations. For the case of scale-free degree...

    Authors: Maria Letizia Bertotti and Giovanni Modanese

    Citation: Applied Network Science 2019 4:32

    Content type: Research

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