Pajek datasets
Reuters terror news network
Dataset days
Description
days.net undirected temporal network with 13332 vertices
and 243447 edges.
Download
Days,
DaysAll.
Background
Reuters terror news network Days.net in Pajek's format
obtained from the
CRA networks
produced
by Steve Corman and Kevin Dooley at Arizona State University.
Please acknowledge
this when publishing results based on these data.
The Reuters terror news network
is based on all stories released during 66 consecutive days
by the news agency Reuters concerning the September 11 attack
on the U.S., beginning at 9:00 AM EST 9/11/01. The vertices
of a network are words (terms); there is an edge between two words iff
they appear in the same text unit (sentence). The weight of an
edge is its frequency.
The network has n = 13332 vertices (different words in the news)
and m = 243447 edges, 50859 with value larger than 1.
There are no loops in the network.
The network DaysAll.net
contains the main connected component of the network obtained by
transforming the Reuters terror news network
into a combined network for all 66 days (union of all time points).
It has 13308 vertices.
The Reuters terror news network
was used as a case network for the Viszards
visualization session on the Sunbelt XXII International Sunbelt
Social Network Conference, New Orleans, USA, 13-17. February 2002.
History
- 5-12. Dec 2001, networks constructed by S. Corman and his group
- December 2001: CRA data transformed in Pajek format by
V. Batagelj.
References
-
Steven R. Corman, Timothy Kuhn, Robert D. Mcphee and Kevin J. Dooley (2002):
Studying Complex Discursive Systems: Centering Resonance Analysis
of Communication.
(PDF)
-
Crawdad Technologies
- Batagelj, V., & Mrvar, A. (2003):
A density based approaches to network analysis:
Analysis of Reuters terror news network,
Ninth Annual ACM SIGKDD, Washington, D.C.
(PDF);
(
SVG)
- Jeffrey C. Johnson and Lothar Krempel (2004):
Network Visualization: The "Bush Team" in Reuters News Ticker 9/11-11/15/01.
The Journal of Social Structure's, Vol. 5, No. 1.
(
HTML)
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20. April 2006 / 27. January 2004
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