Temporal Analysis for Web Spam Detection: An Overview.

In this paper we give a comprehensive overview of temporal features devised for Web spam detection providing measurements for different feature sets. • We make a temporal feature research data set publicly available. The features are based on eight UbiCrawler crawl snapshots of the .uk domain between October 2006 and May 2007 and use the WEBSPAM-UK2007 labels. • We explore the performance of previously published temporal spam features and in particular the strength and sensitivity of linkage change. • We propose new temporal link similarity based features and show how to compute them efficiently on large graphs. Our experiments are conducted over the collection of eight .uk crawl snapshots that include WEBSPAM-UK2007.