|
***** To join INSNA, visit http://www.insna.org *****
Courtney
If you are interested in relational content analysis, i.e. extracting
network data from text data or enhancing network data with information from
text data, you could look into these different streams of work:
Corman, S. R., Kuhn, T., McPhee, R. D., & Dooley, K. J. (2002). Studying
Complex Discursive Systems: Centering Resonance Analysis of Communication.
Human Communication Research, 28(2), 157-206.
Diesner, J., & Carley, K. M. (2005). Revealing Social Structure from Texts:
Meta-Matrix Text Analysis as a novel method for Network Text Analysis. In V.
K. Narayanan & D. J. Armstrong (Eds.), Causal Mapping for Information
Systems and Technology Research: Approaches, Advances, and Illustrations
(pp. 81-108). Harrisburg, PA: Idea Group Publishing.
Gloor, P., & Zhao, Y. (2006, July 2006). Analyzing actors and their
discussion topics by semantic social network analysis. Paper presented at
the 10th IEEE International Conference on Information Visualisation London.
Smith, A., & Humphreys, M. (2006). Evaluation of unsupervised semantic
mapping of natural language with Leximancer concept mapping. Behavior
Research Methods, 38(2), 262-279.
Van Atteveldt, W. (2008). Semantic network analysis: Techniques for
extracting, representing, and querying media content. Charleston, SC:
BookSurge Publishers.
For a focus on highly accurate automated methods for distilling network data
from text data see:
Diesner, J., & Carley, K. M. (2008). Conditional Random Fields for Entity
Extraction and Ontological Text Coding. Journal of Computational and
Mathematical Organization Theory, 14, 248 - 262.
Zelenko, D., Aone, C., & Richardella, A. (2003). Kernel methods for relation
extraction. The Journal of Machine Learning Research, 3, 1083-1106.
If you are rather interested in generating structural models of
socio-technical phenomena based on associating text chunks or terms with
categories, where the categories are later used as nodes in your network,
you might want to use Grounded Theory (Glaser, B., & Strauss, A. The
Discovery of Grounded Theory: Strategies for Qualitative Research. New York,
NY: Aldine. 1967). This is along the lines of what Philip Leifeld already
suggested.
If you need a tool to support you in your text analysis efforts, the CASOS
center at CMU provides a software (AutoMap) that facilitates (relational)
content analysis and relation extraction
(http://www.casos.cs.cmu.edu/projects/automap/).
Cheers, Jana
Jana Diesner
Carnegie Mellon University, School of Computer Science
Center for Computational Analysis of Social and Organizational Systems
Web: http://www.andrew.cmu.edu/user/jdiesner/
On May 19, 2010, at 10:51 PM, S. Courtney Walton wrote:
> ***** To join INSNA, visit http://www.insna.org ***** I'm looking for
articles combining content analysis with network analysis as references for
a study looking at social media and self-disclosure. Of particular interest
will be the methods section and how the two are combined, as well as how the
study addresses density.
>
> Any recommendations? I'm happy to summarize and reshare :-)
>
> --
> Best Regards,
>
> S. Courtney Walton
> [log in to unmask]
> twitter.com/scourt
>
> MA/PhD Student
> Department of Communication
> 4309 Social Sciences & Media Studies Bldg
> University of California, Santa Barbara
> 93106
> _____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send an email
message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in
the body of the message.
_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.
|
