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Network representations of socio-physical systems are ubiquitous, examples being social (media) networks and infrastructure networks like power transmission andwater systems. The many software tools that analyze and visualize networks, and carry out simulations on them, require different graph formats. Consequently, it is important to develop software for converting graphs that are represented in a given source format into a required representation in a destination format. For network-based computations, graph conversion is a key capability that facilitates interoperability among software tools. This paper describes such a system called GraphTrans to convert graphs among different formats. This system is part of a new cyberinfrastructure for network science called net.science. We present the GraphTrans system design and implementation, results from a performance evaluation, and a case study to demonstrate its utility.
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Interactive Demonstrations and Hands-On Use of thenet.science Cyberinfrastructure for Network Science Chairs’ Welcome and Tutorial Summary
Networks are readily identifiable in many aspects of society: cellular telephone networks and social networks are two common examples. Networks are studied within many academic disciplines. Consequently, a large body of (open-source) software is being produced to perform computations on networks. A cyberinfrastructure for network science, called net.science, is being built to provide a computational platform and resource for both producers and consumers of networks and software tools. This tutorial is a hands-on demonstration of some of net.science’s features.
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- Award ID(s):
- 1916805
- PAR ID:
- 10300369
- Date Published:
- Journal Name:
- 13th ACM Web Science Conference 2021
- Page Range / eLocation ID:
- 137 to 137
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3462741.3466679
