Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2482991.2483004acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesc-n-tConference Proceedingsconference-collections
research-article

The impact of influential leaders in the formation and development of social networks

Published: 29 June 2013 Publication History

Abstract

This study investigates the communication patterns and network structure of influential opinion leaders on Twitter during the 2011 Seoul mayoral elections. Among the two candidates, we focus on the usage pattern of Wonsoon Park, who actively used Twitter during the election campaign. We analyzed the network structure of candidate Park and his 15 Twitter mentors during the election period (September 26, 2011 - October 26, 2011). The gathered data consists of 19,227 tweets from 8,547 users who were responded to by one of the 17 selected opinion leaders through mentions (@) or retweets (RT). To find the authorities and hubs, which play a crucial role in information propagation, the HITS algorithm was used to quantify the influence exerted by the opinion leaders. In addition, social network triads were used to identify the communication patterns between individual users on Twitter. Results of the analysis showed that the structure of the communication patterns in Twitter were mostly fragmented rather than transitive. This signified that communication occurred from, or converged to, a single node, rather than circulating through multiple nodes during the election period. The majority of the network structures were fragmented, or one-way conversations. In other words, communication happened in the form of aggregation and propagation, rather than sharing and circulating various ideas.

References

[1]
T. M. J. Fruchterman and E. M. Reingold. Graph drawing by force-directed placement. Softw. Pract. Exper., 21(11):1129--1164, Nov. 1991.
[2]
B. Heil and M. Piskorski. New twitter research: Men follow men and nobody tweets. HBR Blog Network, June 2009.
[3]
P. W. Holland and S. Leinhardt. Local structure in social networks. Sociological Methodology, 7(1976):1--45, 1976.
[4]
H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? In Proceedings of the 19th international conference on World wide web, WWW '10, pages 591--600, New York, NY, USA, 2010. ACM.
[5]
P. F. Lazarsfeld, B. Berelson, and H. Gaudet. The People's Choice. How the Voter Makes up his Mind in Presidential Campaign. Columbia University Press, New York, 1944.
[6]
B. Liu. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, 2007.
[7]
X. Song, Y. Chi, K. Hino, and B. Tseng. Identifying opinion leaders in the blogosphere. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, CIKM '07, pages 971--974, New York, NY, USA, 2007. ACM.
[8]
S. Wasserman and K. Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.
[9]
D. J. Watts and P. S. Dodds. Influentials, Networks, and Public Opinion Formation. Journal of Consumer Research, 34(4):441--458, Dec. 2007.
[10]
J. Weng, E.-P. Lim, J. Jiang, and Q. He. Twitterrank: finding topic-sensitive influential twitterers. In Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, pages 261--270, New York, NY, USA, 2010. ACM.
[11]
S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts. Who says what to whom on twitter. In Proceedings of the 20th international conference on World wide web, WWW '11, pages 705--714, New York, NY, USA, 2011. ACM.

Cited By

View all
  • (2016)Mining Social Capital on Online Social Networks with Strong and Weak Ties2016 2nd International Conference on Open and Big Data (OBD)10.1109/OBD.2016.9(9-16)Online publication date: Aug-2016
  • (2016)Are you connected? Evaluating information cascades in online discussion about the #RaceTogether campaignComputers in Human Behavior10.1016/j.chb.2015.07.05254:C(43-53)Online publication date: 1-Jan-2016
  • (2015)Understanding social effects in online networks2015 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2015.7069459(863-868)Online publication date: Feb-2015
  • Show More Cited By

Index Terms

  1. The impact of influential leaders in the formation and development of social networks

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    C&T '13: Proceedings of the 6th International Conference on Communities and Technologies
    June 2013
    165 pages
    ISBN:9781450321044
    DOI:10.1145/2482991
    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]

    Sponsors

    • ITIS: ITIS e.V.
    • EUSSET: European Society for Socially Embedded Technologies

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 June 2013

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Twitter communication
    2. influence
    3. social network services
    4. virtual community

    Qualifiers

    • Research-article

    Conference

    C&T '13
    Sponsor:
    • ITIS
    • EUSSET

    Acceptance Rates

    C&T '13 Paper Acceptance Rate 17 of 58 submissions, 29%;
    Overall Acceptance Rate 80 of 183 submissions, 44%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Sep 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2016)Mining Social Capital on Online Social Networks with Strong and Weak Ties2016 2nd International Conference on Open and Big Data (OBD)10.1109/OBD.2016.9(9-16)Online publication date: Aug-2016
    • (2016)Are you connected? Evaluating information cascades in online discussion about the #RaceTogether campaignComputers in Human Behavior10.1016/j.chb.2015.07.05254:C(43-53)Online publication date: 1-Jan-2016
    • (2015)Understanding social effects in online networks2015 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2015.7069459(863-868)Online publication date: Feb-2015
    • (2015)Analysis of Structural Social Capital in Online Social NetworksProceedings of the 2015 3rd International Conference on Future Internet of Things and Cloud10.1109/FiCloud.2015.118(473-480)Online publication date: 24-Aug-2015
    • (2015)A dynamic influence model of social network hotspot based on grey system一种基于灰色系统理论的热点话题用户行为影响力模型Science China Information Sciences10.1007/s11432-015-5439-y58:12(1-12)Online publication date: 16-Oct-2015

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media