[GDNET] Special Issue of Future Internet

Fabrizio Montecchiani fabrizio.montecchiani at unipg.it
Wed Sep 30 18:38:52 CEST 2020


Dear Graph Drawers,

We are happy to share our Call for Papers for a Special Issue of Future
Internet on "*Information Processing and Management for Large and Complex
Networks*".

The scope of the special issue includes graph drawing and network
visualization.
Please find here all the details:
https://www.mdpi.com/journal/futureinternet/special_issues/IPML_ComplexNetworks
<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mdpi.com_journal_futureinternet_special-5Fissues_IPML-5FComplexNetworks&d=DwMFaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=uJL9tC3jlkT4bl_vY90y3qYmPsqo5jEfFKRVgEID-Aw&s=GsE-hx26QC4mq0-cSOFzXHYoSSgIqbwSW6g2KwgsYhE&e=>

*Submission deadline: February 28, 2021*

Best regards,
Fabrizio and Walter


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*Special Issue on Information Processing and Management for Large and
Complex Networks*


*Journal: Future Internet*

Network-based models are pervasive in many fields of science and
technology, as they naturally capture relationships between entities. The
study of relationships emerged as a pivotal addition to standard social and
behavioral research, going beyond the single attributes of the social
units. Indeed, networks (or graphs) are widely used to model relational
data in a variety of application domains, including social sciences,
economy and finance, information and homeland security, management,
biology, computer networks, marketing, and software design. With the
increasing amount of relational data generated every day, processing,
managing, and analyzing large-scale graphs have become prominent problems
in data science, which pose several challenges ranging from the design of
efficient graph algorithms to the development of scalable and effective
systems.

This special issue calls for papers that contribute to the multifaceted
research on processing, managing, and analyzing large and complex networks.
Interested authors are invited to contribute their original, unpublished
work. Topics of interest include, but are not limited to, the following:

·        management information systems

·        big network data management

·        large-scale graph processing algorithms and systems

·        parallel and distributed graph algorithms

·        strategic information systems

·        decision support systems

·        graph drawing and network visualization techniques

·        human-computer interaction for network analysis

·        graph benchmarks and generators
*Guest Editors*
Prof. Fabrizio Montecchiani
Prof. Walter Didimo
Prof. Andrea Fronzetti Colladon
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