Lewis, E.T., Carley, K.M., & Diesner, J. (2003). Displaying Responsiveness
or Asserting Identity in Organizational Language: How Concept Networks
Capture Rhetorical Strategies.
Abstract:
Network Text Analysis supports analysts in detecting the organizational
structure of covert networks from
textual data. We have formalized an approach for Network Text Analysis
and implemented it into a
software package referred to as AutoMap. We will report on the extraction
of the organizational structure
of three covert networks, which are Hamas, Al-Qaeda and Jamaah Islamiyah,
with AutoMap. For each of
the three groups we have one corpus with about 550 texts that were collected
from a variety of sources such
as LexisNexis, trial transcripts and research papers. The network data
that we extracted from the corpora is
multi-mode, multi-link, and multi-time period, and has attributes of
nodes and edges. We will present
results of the network analysis of the extracted data such as the identification
of critical individuals in the
networks and their linkage to knowledge, resources and other organizations,
and compare the revealed
structures in order to identify idiosyncrasies of each group. The network
analysis was performed with
ORA, a statistical toolkit for network analysis.
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