Work

Towards Efficient Query Processing on Massive Time-Evolving Graphs

Year: 2012

Type: conference-paper

Abstract: Time evolving graph (TEG) is increasingly being used as a paradigm for modeling and analyzing dynamic relationships in many emerging domains such as online social networks, World Wide Web and evolutionary genomics. A time-evolving graph consists of a sequence of snapshots of the graph as it evolves

Source: International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

DOI: 10.4108/icst.collaboratecom.2012.250532

Authors: Arash Fard, Amir Abdolrashidi, Lakshmish Ramaswamy, John Miller

Institution: University of Georgia

Language: English

Topic: Graph Theory and Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2028647314

FWCI: 2.586

Cites: 36

Cited by: 35

Related to: 10