@techreport{TD:100840,
	att_abstract={{The many endless rivers of text now available present a serious challenge in
the task of gleaning, analyzing and discovering useful information.
In this paper, we describe a methodology for visualizing text streams in
real time. The approach automatically groups similar messages into ``countries,''
with keyword summaries, using semantic analysis, graph clustering and
map generation techniques. It handles the need for visual stability 
across time by dynamic graph layout and Procrustes projection techniques,
enhanced with a novel stable component packing algorithm. The result provides
a continuous, succinct view of evolving topics of interest.
It can be used in passive mode for overviews and situational awareness,
or as an interactive data exploration tool.
To make these ideas concrete, we describe their application 
to an online service called TwitterScope.
}},
	att_authors={eg3218, yh573v, sn1789},
	att_categories={C_IIS.7},
	att_copyright={{Springer}},
	att_copyright_notice={{The definitive version was published in     2012. {{, 2012-09-01}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={Information_Visualization},
	att_tags={streaming data,  maps,  dynamic graph drawing,  packing algorithms},
	att_techdoc={true},
	att_techdoc_key={TD:100840},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100840_DS1_2013-02-18T16:36:09.048Z.pdf},
	author={Emden Gansner and Yifan Hu and Stephen North},
	institution={{20th International Symposium of Graph Drawing}},
	month={September},
	title={{Visualizing Streaming Text Data with Dynamic Graphs and Maps}},
	year=2012,
}