DocumentCode :
264753
Title :
User-Rank: Generic Query Optimization for Participatory Social Applications
Author :
Hughes, Danny ; Crowley, Caren ; Daniels, Wilfried ; Bachiller, Rafael ; Joosen, Wouter
Author_Institution :
iMinds-DistriNet, KU Leuven, Leuven, Belgium
fYear :
2014
fDate :
6-9 Jan. 2014
Firstpage :
1874
Lastpage :
1883
Abstract :
Online social networks have become a key communication medium for millions of Internet users. Building on this success a new class of social applications have emerged that use online social networks as a platform to access an established community of users. While some social applications act as a forum for users to interact, an emerging class of participatory social applications creates value by using data received from users to deliver a service. The success of participatory social applications is dependent on user responsiveness to application queries. In this paper we propose ´User-Rank´, an application-independent approach to optimizing the querying of social network users. The design of User-Rank is based upon a 30-day experiment, which involved sending 3,055 messages to 70 users to determine the factors influencing response time and message loss. User-Rank achieves significant performance improvements relative to random querying and is lightweight with minimal memory and computational requirements.
Keywords :
Internet; query processing; social networking (online); Internet users; User-Rank; application-independent approach; generic query optimization; online social networks; participatory social applications; Facebook; Meteorology; Monitoring; Sensors; Time factors; Twitter; measurement; online social networks; performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/HICSS.2014.236
Filename :
6758834
Link To Document :
بازگشت