DocumentCode
145613
Title
Ranking Users Based on Influence in a Directional Social Network
Author
Reilly, Christine F. ; Salinas, Dave ; De Leon, David
Author_Institution
Dept. of Comput. Sci., Univ. of Texas - Pan American, Edinburg, TX, USA
Volume
2
fYear
2014
fDate
10-13 March 2014
Firstpage
237
Lastpage
240
Abstract
This paper describes the preliminary work on a study that ranks users in a directional social network by their influence during a particular time period. Our method considers a user with high influence to be one who has a high ratio of forwarded messages to the number of messages she posts. After implementing our influence ranking program, we plan to compare our method with others in the literature. This comparison will evaluate the similarity of the lists of influential users that are generated by these different methods. We will also evaluate the ease of use and time required by each of the influence calculation methods.
Keywords
social networking (online); directional social network; forwarded messages; influence calculation methods; influential user list similarity; user ranking program; Educational institutions; Facebook; Media; Size measurement; Terminology; Twitter; big data in social media;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/CSCI.2014.127
Filename
6822338
Link To Document