Output details
11 - Computer Science and Informatics
Queen Mary University of London
Output title
Measuring User Influence in Twitter: The Million Follower Fallacy.
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media
Volume number
-
Issue number
-
First page of article
10
ISSN of proceedings
-
Year of publication
2010
Number of additional authors
3
Additional information
<21>This paper presents the first complete analysis of the individuals' roles and the notion of 'theory of influence', in Online Social Networks. We used the complete Twitter dataset for three years in order to perform the analysis, invalidating the long-standing 'accidental influential' theory. The results were adopted by a large number of advertising and marketing intelligence firms. The findings appeared on New York Times, Harvard Business Review, and many other leading online publications. The work also led to collaborations on numerous new projects by the authors, as well as over 30 invited talks including Nuffield seminar series, Oxford University.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
