Title :
A Facebook crawler based on interaction simulation and MHRW-DA
Author :
Zhefeng Xiao ; Bo Liu ; Huaping Hu
Author_Institution :
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Data acquisition is a precondition to conduct online social network (OSN) research. Based on the interaction simulation, we have implemented a Facebook crawler with unbiased MHRW-DA (Metropolis-Hasting Random Walk with Delayed Acceptance) algorithm, which can obtain the complete friend list of a Facebook user. We make an analysis on the crawled dataset, and find out that (1) 34.2% of Facebook users have changed the default privacy setting, implying that the awareness of privacy protection of Facebook users has been greatly improved; (2) the percentage of female users in those that have changed the default privacy setting is higher than male by 16.8%, implying the awareness of privacy protection of female users is much higher than that of male.
Keywords :
data acquisition; data privacy; social networking (online); Facebook crawler; Facebook user; MHRW-DA; default privacy setting; female users; interaction simulation; metropolis-hasting random walk with delayed acceptance algorithm; privacy protection; Facebook; crawler; privacy; simulation; social networks;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526320
