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Applied Network Science
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  1. 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

    Published on:

  2. The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference. In this paper, we consider circum...

    Authors: Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer and Peter J. Mucha

    Citation: Applied Network Science 2019 4:54

    Content type: Research

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  3. 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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  5. We recently proposed a new ensemble clustering algorithm for graphs (ECG) based on the concept of consensus clustering. In this paper, we provide experimental evidence to the claim that ECG alleviates the well...

    Authors: Valérie Poulin and François Théberge

    Citation: Applied Network Science 2019 4:51

    Content type: Research

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  7. 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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  8. Political ideology is a major social phenomena that plays a crucial role in the formation and dynamics of ideologically-aligned social groups. This alignment gives rise to some of the most powerful social stru...

    Authors: Josemar Faustino, Hugo Barbosa, Eraldo Ribeiro and Ronaldo Menezes

    Citation: Applied Network Science 2019 4:48

    Content type: Research

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  10. The study of network representations of physical, biological, and social phenomena can help us better understand their structure and functional dynamics as well as formulate predictive models of these phenomen...

    Authors: Varsha Chauhan, Alexander Gutfraind and Ilya Safro

    Citation: Applied Network Science 2019 4:46

    Content type: Research

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  13. Local pattern mining on attributed networks is an important and interesting research area combining ideas from network analysis and data mining. In particular, local patterns on attributed networks allow both ...

    Authors: Martin Atzmueller, Henry Soldano, Guillaume Santini and Dominique Bouthinon

    Citation: Applied Network Science 2019 4:43

    Content type: Research

    Published on:

  16. Influence spread in multi-layer interdependent networks (M-IDN) has been studied in the last few years; however, prior works mostly focused on the spread that is initiated in a single layer of an M-IDN. In rea...

    Authors: Hana Khamfroush, Nathaniel Hudson, Samuel Iloo and Mahshid R. Naeini

    Citation: Applied Network Science 2019 4:40

    Content type: Research

    Published on:

  18. 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

    Published on:

  19. Applying closed pattern mining to attributed two-mode networks requires two conditions. First, as in two-mode networks there are two kinds of vertices, each described with a proper attribute set, we have to co...

    Authors: Henry Soldano, Guillaume Santini, Dominique Bouthinon, Sophie Bary and Emmanuel Lazega

    Citation: Applied Network Science 2019 4:37

    Content type: Research

    Published on:

  20. States facing the decision to develop a nuclear weapons program do so within a broader context of their relationships with other countries. How these diplomatic, economic, and strategic relationships impact pr...

    Authors: Bethany L. Goldblum, Andrew W. Reddie, Thomas C. Hickey, James E. Bevins, Sarah Laderman, Nathaniel Mahowald, Austin P. Wright, Elie Katzenson and Yara Mubarak

    Citation: Applied Network Science 2019 4:36

    Content type: Research

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  22. The advent of Online Social Networks (OSNs) has offered the opportunity to study the dynamics of information spread and influence propagation at a huge scale. Considerable research has focused on the social in...

    Authors: Luca Luceri, Torsten Braun and Silvia Giordano

    Citation: Applied Network Science 2019 4:34

    Content type: Research

    Published on:

  23. 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

    Published on:

  24. 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

    Published on:

  26. We present a model for network transformation mediated by confinement, as a demonstration of a simple network dynamics that has a direct connection with real world quantities. The model has the capacity of gen...

    Authors: Éder Mílton Schneider, Sebastián Gonçalves, José Roberto Iglesias and Bruno Requião da Cunha

    Citation: Applied Network Science 2019 4:30

    Content type: Research

    Published on:

  31. Community detection has proved to be extremely successful in a variety of domains. However, most of the algorithms used in practice assume networks are unchanging in time. This assumption is violated for many ...

    Authors: Thomas Magelinski and Kathleen M. Carley

    Citation: Applied Network Science 2019 4:25

    Content type: Research

    Published on:

  32. Networked power grid systems are susceptible to a phenomenon known as Coherent Swing Instability (CSI), in which a subset of machines in the grid lose synchrony with the rest of the network. We develop network...

    Authors: Daniel Dylewsky, Xiu Yang, Alexandre Tartakovsky and J. Nathan Kutz

    Citation: Applied Network Science 2019 4:24

    Content type: Research

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  33. We study how the community structure of bipartite mutualistic networks changes in a dynamic context. First, we consider a real mutualistic network and introduce extinction events according to several scenarios...

    Authors: Somaye Sheykhali, Juan Fernández-Gracia, Anna Traveset and Víctor M. Eguíluz

    Citation: Applied Network Science 2019 4:23

    Content type: Research

    Published on:

  34. Transcriptional co-expression networks represent the concerted gene regulation programs by means of statistical inference of co-expression patterns. The rich phenomenology of transcriptional processes behind c...

    Authors: Guillermo de Anda-Jáuregui, Sergio Antonio Alcalá-Corona, Jesús Espinal-Enríquez and Enrique Hernández-Lemus

    Citation: Applied Network Science 2019 4:22

    Content type: Research

    Published on:

  36. Knowledge graph will be usefull for the intelligent system. As the relationship prediction on the knowledge graph becomes accurate, construction of a knowledge graph and detection of erroneous information incl...

    Authors: Yohei Onuki, Tsuyoshi Murata, Shun Nukui, Seiya Inagi, Xule Qiu, Masao Watanabe and Hiroshi Okamoto

    Citation: Applied Network Science 2019 4:20

    Content type: Research

    Published on:

  40. A heterogeneous continuous time random walk is an analytical formalism for studying and modeling diffusion processes in heterogeneous structures on microscopic and macroscopic scales. In this paper we study bo...

    Authors: Liubov Tupikina and Denis S. Grebenkov

    Citation: Applied Network Science 2019 4:16

    Content type: Research

    Published on:

  41. Social networks often has the graph structure of giant strongly connected component (GSCC) and its upstream and downstream portions (IN and OUT), known as a bow-tie structure since a pioneering study on the Wo...

    Authors: Yuji Fujita, Yuichi Kichikawa, Yoshi Fujiwara, Wataru Souma and Hiroshi Iyetomi

    Citation: Applied Network Science 2019 4:15

    Content type: Research

    Published on:

  44. Growing evidence shows that social media facilitate diffusion of both pro-recovery and anti-recovery information among people affected by mental health problems, while little is known about the associations of...

    Authors: Tao Wang, Markus Brede, Antonella Ianni and Emmanouil Mentzakis

    Citation: Applied Network Science 2019 4:12

    Content type: Research

    Published on:

  45. Companies face increased product complexity that involves reviewing and optimizing product development business processes.This leads to an increasingly multidisciplinary approach. Research units and multi-loca...

    Authors: Soumaya Yahiaoui, Christophe Courtin, Pierre Maret and Laurent Tabourot

    Citation: Applied Network Science 2019 4:11

    Content type: Research

    Published on:

  47. As recent work demonstrated, the task of identifying communities in networks can be considered analogous to the classical problem of decoding messages transmitted along a noisy channel. We leverage this analog...

    Authors: Krishna C. Bathina and Filippo Radicchi

    Citation: Applied Network Science 2019 4:9

    Content type: Research

    Published on:

  50. We examine students’ representations of their conceptions of the interlinked nature of science history and general history, as well as cultural history. Such knowledge landscapes of the history of science are ...

    Authors: Henri Lommi and Ismo T. Koponen

    Citation: Applied Network Science 2019 4:6

    Content type: Research

    Published on:

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  • ISSN: 2364-8228 (electronic)

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