research-article

Consensus building analysis using entropy in BBS tree

Authors:

Ning He,

Yasushi Oda,

Chikara Otani,

Osamu YoshieAuthors Info & Claims

IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

Pages 315 - 318

https://doi.org/10.1145/2428736.2428792

Published: 03 December 2012 Publication History

Get Access

Abstract

Consensus building is a process in which individuals collectively make a choice from the alternatives and contribute their best to make a common decision. During the discussion, there will appear a case that after a certain utterance, individuals will fix their positions or change their ideas. This certain utterance is called "clue". This paper describes a quantitative research method is put forward to measure the information entropy change during the discussion for tracing "clue" in BBS tree structure. Finally a simple simulation proves the theory.

References

[1]

Lyness A. L., Raimond J. A. (1992) "Electronic communication to promote consensus-building skills: an innovative teaching strategy". The Journal of nursing education, Vol 31, No 7, pp. 331--335.

Google Scholar

[2]

Welch C., Rebecca J. (1990) "Detecting groupthink: Methods for observing the illusion of unanimity". Communication Quarterly, Vol 38, Issue 2, pp. 112--116.

Crossref

Google Scholar

[3]

Gastil J. (1993). "Democracy in small groups: Participation, decision making, and communication". Philadelphia, PA: New Society Publishers.

Google Scholar

[4]

McGann, Anthony J. (2006) "The Logic of Democracy: Reconciling, Equality, Deliberation, and Minority Protection". Ann Arbor: University of Michigan Press. ISBN 0-472-06949-7.

Google Scholar

[5]

Kaner S., Doyle M., & Lind L. (2007) "Facilitator's Guide to Participatory Decision-making, 2^nd Edition". John Wiley & Sons.

Google Scholar

[6]

Bollen, J., Mao, H., & Zeng, X. (2011) "Twitter mood predicts the stock market". Journal of Computational Science, Vol 2, No 1, pp. 1--8.

Crossref

Google Scholar

[7]

Zhang X., Fuelures, H., & Gloor, P. (2011) "Predicting stock market indicators through Twitter, 'I hope it is not as bad as I fear'". Procedia - Social and Behavioral Sciences, Vol 26, pp. 55--62.

Crossref

Google Scholar

[8]

Murakami, A., Nasukawa, T., Nakamura, F., Takeuchi, H., Nishiyama, R., Veisberg, P. & Watanabe H. (2007) "InnovationJam: Analysis of Online Discussion Records using Text Mining Technology". International Workshop on Intercultural Collaboration (IWIC2007).

Google Scholar

[9]

Kato, H., Akahori, K. (1999) "Item Selection Algorithm Based on Bayesian Estimation for an Adaptive Practice System". IEICE Transactions on Information and system. Vol 2, No. 1, pp. 147--157.

Google Scholar

Cited By

View all

He NYoshie OWeippl EIndrawan-Santiago MSteinbauer MKotsis GKhalil I(2013)Conversation Analysis Based on Interpersonal Relationship in Consensus BuildingProceedings of International Conference on Information Integration and Web-based Applications & Services10.1145/2539150.2539178(26-33)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2539150.2539178

Index Terms

Consensus building analysis using entropy in BBS tree
1. Applied computing
  1. Operations research
    1. Decision analysis
2. Information systems
  1. Information systems applications
    1. Decision support systems
  2. World Wide Web
    1. Web applications
      1. Internet communications tools

Recommendations

Conversation Analysis Based on Interpersonal Relationship in Consensus Building
IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services

Building consensus is a process in which participants start with various opinions and reach an agreement as far as possible. During a discussion, participants exhibit different stances such as agree or disagree at other's utterances. In this paper, a ...
Greedy Consensus Tree and Maximum Greedy Consensus Tree Problems
WALCOM: Algorithms and Computation
Abstract
Consensus tree is a phylogenetic tree that summarizes the branching information of a set of conflicting phylogenetic trees. Computing consensus tree is a major step in phylogenetic tree reconstruction. It also finds application in predicting a ...
Consensus-based decision support for multicriteria group decision making

Consensus decision making is complex and challenging in multicriteria group decision making due to the involvement of several decision makers, the presence of multiple, and often conflicting criteria, and the existence of subjectiveness and imprecision ...

Comments

Information & Contributors

Information

Published In

IIWAS '12: Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services

December 2012

432 pages

ISBN:9781450313063

DOI:10.1145/2428736

General Chair:
Eric Pardede
La Trobe University, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

ACM: Association for Computing Machinery

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 December 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

IIWAS '12

Sponsor:

@WAS

IIWAS '12: The 14th International Conference on Information Integration and Web-based Applications & Services

December 3 - 5, 2012

Bali, Indonesia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
65
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

He NYoshie OWeippl EIndrawan-Santiago MSteinbauer MKotsis GKhalil I(2013)Conversation Analysis Based on Interpersonal Relationship in Consensus BuildingProceedings of International Conference on Information Integration and Web-based Applications & Services10.1145/2539150.2539178(26-33)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2539150.2539178

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Conversation Analysis Based on Interpersonal Relationship in Consensus Building

Greedy Consensus Tree and Maximum Greedy Consensus Tree Problems

Consensus-based decision support for multicriteria group decision making

Comments

Information

Published In

Sponsors

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations