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DOI: 10.14569/IJACSA.2016.070273
PDF

Comprehensive Survey on Dynamic Graph Models

Author 1: Aya Zaki
Author 2: Mahmoud Attia
Author 3: Doaa Hegazy
Author 4: Safaa Amin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Most of the critical real-world networks are con-tinuously changing and evolving with time. Motivated by the growing importance and widespread impact of this type of networks, the dynamic nature of these networks have gained a lot of attention. Because of their intrinsic and special characteristics, these networks are best represented by dynamic graph models. To cope with their evolving nature, the representation model must keep the historical information of the network along with its temporal time. Storing such amount of data, poses many problems from the perspective of dynamic graph data management. This survey provides an in-depth overview on dynamic graph related problems. Novel categorization and classification of the state of the art dynamic graph models are also presented in a systematic and comprehensive way. Finally, we discuss dynamic graph processing including the output representation of its algorithms.

Keywords: dynamic graphs; evolving networks; evolving graphs; temporal graphs; data management

Aya Zaki, Mahmoud Attia, Doaa Hegazy and Safaa Amin, “Comprehensive Survey on Dynamic Graph Models” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070273

@article{Zaki2016,
title = {Comprehensive Survey on Dynamic Graph Models},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070273},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070273},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Aya Zaki and Mahmoud Attia and Doaa Hegazy and Safaa Amin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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