Special Issue "Selected papers from The 7th International Conference on Complex Networks and Their Applications"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (10 April 2019)

Special Issue Editors

Guest Editor
Dr. Hocine Cherifi

Universite de Bourgogne, Dijon, France
Website | E-Mail
Interests: computer vision; complex networks; hypergraph
Guest Editor
Dr. Chantal Cherifi

University of Lyon 2, Lyon, France
Website | E-Mail
Interests: information systems agility and big data management with applications on information systems and smart cities
Guest Editor
Dr. Christian Quadri

University of Milan, Milan, Italy
Website | E-Mail
Interests: Internet of People, Things, and Computers
Guest Editor
Dr. Feng Xia

Dalian University of Technology, China
Website | E-Mail
Interests: data science, knowledge management, network science, mobile social networks

Special Issue Information

Dear Colleagues,

The International Conference on Complex Networks and Their Applications brings together researchers from different scientific communities working on areas related to data and network science. The variety of scientific topics ranges from network and graph theory; statistical mechanics; models of networks; community structure; geometry; visualization; financial and economic networks; social and urban networks; human behavior; epidemic models; political networks; earth sciences applications; control and synchronization; resilience and robustness; machine learning; other fields of computer science, network medicine, and neuroscience, and many others. For the seventh edition of this annual event, 421 contributions have been received from 50 countries around the world. The papers invited for submission to this Special Issue are technically beyond the scope of the contributions appearing in the conference  proceedings and include significantly new material. They reflect the latest problems, advances, and diversity within the complex network community. 

Dr. Hocine Cherifi
Dr. Chantal Cherifi
Dr. Christian Quadri
Dr. Feng Xia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Models of complex networks
  • Structural network properties
  • Complex networks and epidemics
  • Community structure and discovery
  • Motif discovery
  • Complex networks mining
  • Dynamics on and of complex networks
  • Link prediction
  • Multiplex networks
  • Network controllability
  • Synchronization in networks
  • Algorithms for network analysis
  • Networks visual representation
  • Large-scale graph analytics
  • Social reputation, influence, and trust
  • Information spreading in social media
  • Rumor and viral marketing
  • Recommendation systems and networks
  • Financial and economic networks
  • Complex networks and mobility
  • Biological and technological networks
  • Mobile call complex networks
  • Bio-informatics and earth sciences applications
  • Resilience and robustness
  • Networks for physical infrastructures
  • Networks, smart cities, and smart grids
  • Political networks
  • Supply chain networks
  • Complex networks and information systems
  • Complex networks and CPS/IoT
  • Graph signal processing
  • Cognitive network science

Published Papers (1 paper)

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Research

Open AccessArticle Epidemic Spreading in Urban Areas Using Agent-Based Transportation Models
Future Internet 2019, 11(4), 92; https://doi.org/10.3390/fi11040092
Received: 26 February 2019 / Revised: 27 March 2019 / Accepted: 1 April 2019 / Published: 8 April 2019
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Abstract
Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly modeling and quantifying human mobility is critical for studying large-scale spatial transmission of infectious diseases and improving epidemic control. In this study, a large-scale agent-based transport simulation (MATSim) is [...] Read more.
Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly modeling and quantifying human mobility is critical for studying large-scale spatial transmission of infectious diseases and improving epidemic control. In this study, a large-scale agent-based transport simulation (MATSim) is linked with a generic epidemic spread model to simulate the spread of communicable diseases in an urban environment. The use of an agent-based model allows reproduction of the real-world behavior of individuals’ daily path in an urban setting and allows the capture of interactions among them, in the form of a spatial-temporal social network. This model is used to study seasonal influenza outbreaks in the metropolitan area of Zurich, Switzerland. The observations of the agent-based models are compared with results from classical SIR models. The model presented is a prototype that can be used to analyze multiple scenarios in the case of a disease spread at an urban scale, considering variations of different model parameters settings. The results of this simulation can help to improve comprehension of the disease spread dynamics and to take better steps towards the prevention and control of an epidemic. Full article
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