Design and Implementation of Facebook Crawler Based on Interaction Simulation

Author

Xiao, Zhefeng ; Liu, Bo ; Hu, Huaping ; Zhang, Tian

Author_Institution

Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China

fYear

2012

fDate

25-27 June 2012

Firstpage

1109

Lastpage

1112

Abstract

The extensive use of Online Social Networks (OSNs) has attracted such wide attention of academia that OSNs have become a hot topic. Based on the interaction simulation, we have designed and implemented a Facebook crawler, which can obtain the complete friend list of a Facebook user and overcome the drawback in [7] that the crawler can get at most 400 friends. We make an analysis and visualization of the crawled dataset, and find that 36.5% of Facebook users have changed the default privacy setting, compared to 26.6% and 16% in [7, 20] respectively, implying that the awareness of privacy protection of Facebook users has been greatly improved.

Keywords

data privacy; social networking (online); Facebook crawler; OSN; interaction simulation; online social networks; privacy protection; Algorithm design and analysis; Crawlers; Data privacy; Educational institutions; Facebook; Privacy; Facebook; analysis; crawler; privacy; social networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on

Conference_Location

Liverpool

Print_ISBN

978-1-4673-2172-3

Type

conf

DOI

10.1109/TrustCom.2012.121

Filename

6296099