Abstract: The growths of online Social Networks in scale and amount of information are immense in recent years. The analyses of the structure of online social networks have thus drawn much research interests. Before the analyses, the information and the characteristics of the structure have to be obtained. However, the complexity of today’s web technologies imposes challenges for collecting the data. In this paper, we discuss the design and implementation of a crawler for online social networks, and propose countermeasures to the technical challenges when crawling the networks in practice. Then, the crawled data is visualized and analyzed in graphs.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
Chi-In Wong, Kin-Yeung Wong, Kuong-Wai Ng, Wei Fan, Kai-Hau Yeung, "Design of a Crawler for Online Social Networks Analysis," WSEAS Transactions on Communications, vol. 13, pp. 263-274, 2014, DOI:
Chi-In Wong, Kin-Yeung Wong, Kuong-Wai Ng, Wei Fan, Kai-Hau Yeung. Design of a Crawler for Online Social Networks Analysis.
WSEAS Transactions on Communications. 2014;13:263-274.