Paper Info
Title
TimeGraph: A data management framework for visual analytics of large multivariate time-oriented networks
Abstract
Large multivariate time-oriented networks have been gaining an increasing relevance in different domains. In order to support Visual Analytics processes on this kind of data, appropriate storage and retrieval methods are needed that take into account the scale, dimensionality, and in particular the complex nature of time. We introduce TimeGraph, a data management framework consisting of a data model and two levels of abstraction. TimeGraph captures both the topology of networks and the inherent structure of time into a property graph data structure, and transparently handles them by graph-based operations. TimeGraph aims to be an expressive, easy-to-use and extensible framework, enabling data reduction by selection and aggregation over both the temporal and the topological properties of data, to foster interactive visualization and analysis.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042498
IEEE VAST
Keywords
Field
DocType
data management framework,data reduction,large multivariate time-oriented networks,graph-based operations,timegraph,interactive visualization,data visualisation,visual analytics,topology,graph theory,interactive systems
Data mining,Abstraction,Computer science,Visual analytics,Curse of dimensionality,Interactive visualization,Analytics,Data management,Data model,Graph (abstract data type)
Conference
ISSN
Citations 
PageRank 
2325-9442
1
0.39
References 
Authors
5
3
Name
Order
Citations
PageRank
Albert Amor-Amoros1122.58
Paolo Federico2525.20
Silvia Miksch32212174.85