A visualisation technique for large temporal social network datasets in Hyperbolic space

Türker, Uraz Cengiz and Balcısoy, Selim (2014) A visualisation technique for large temporal social network datasets in Hyperbolic space. Journal of Visual Languages and Computing (Sl), 25 (3). pp. 227-242. ISSN 1045-926X (Print) 1095-8533 (Online)

[thumbnail of UrazPaperFinalPrinted.pdf] PDF
UrazPaperFinalPrinted.pdf
Restricted to Registered users only

Download (5MB) | Request a copy

Abstract

Visualisations of temporal social network datasets have the potential to be complex and require a lot of cognitive input. In this paper, we present a novel visualisation approach that depicts both relational and statistical information of evolving social structures. The underlying framework is implemented by the usage of Hyperbolic Geometry to support focus context rendering. The proposed method guarantees representing prominent social actors through scaling their representations, preserves user's mental map, and provides the user to reduce visual clutter by means of filtering.
Item Type: Article
Uncontrolled Keywords: Social networks; Hyperbolic layout; Visualisation; Temporal data
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Selim Balcısoy
Date Deposited: 19 Jun 2014 14:38
Last Modified: 26 Apr 2022 09:13
URI: https://research.sabanciuniv.edu/id/eprint/24119

Actions (login required)

View Item
View Item