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<RECORD>
	<REFERENCE_TYPE>0</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>M. Farrugia</AUTHOR>
		<AUTHOR>A. Quigley</AUTHOR>
	</AUTHORS>
	<YEAR>2011</YEAR>
	<TITLE>Effective temporal graph layout: a comparative study of animation versus static display methods</TITLE>
	<SECONDARY_TITLE>Journal of Information Visualization</SECONDARY_TITLE>
	<ABSTRACT>&lt;p&gt;Graph drawing algorithms have classically addressed the layout of static  graphs. However, the&amp;nbsp;need to draw evolving or dynamic graphs has  brought into question many of the assumptions,&amp;nbsp;conventions and layout  methods designed to date. For example, social scientists studying  evolving&amp;nbsp;social networks have created a demand for visual  representations of graphs changing over time.&amp;nbsp;Two common approaches to  represent temporal information in graphs include animation of  the&amp;nbsp;network and use of static snapshots of the network at di erent  points in time. Here we report&amp;nbsp;on two experiments, one in a laboratory  environment and another using an asynchronous remote&amp;nbsp;web based platform,  Mechanical Turk, to compare the e ciency of animated displays versus  static&amp;nbsp;displays. Four tasks are studied with each visual representation,  two characterise overview level&amp;nbsp;information presentation, and two  characterise micro level analytical tasks. The results of this&amp;nbsp;study  indicate that static representations are generally more e ective  particularly in terms to time&amp;nbsp;performance, when compared to fully  animated movie representations of dynamic networks&lt;/p&gt;</ABSTRACT>
</RECORD>
</RECORDS></XML>