document: Topic initiator detection on the world wide web In this paper we introduce a new Web mining and search technique - Topic Initiator Detection ( TID ) on the Web . Given a topic query on the Internet and the resulting collection of time-stamped web documents which contain the query keywords , the task of TID is to automatically return which web document ( or its author ) initiated the topic or was the first to discuss about the topic . To deal with the TID problem , we design a system framework and propose algorithm InitRank ( Initiator Ranking ) to rank the web documents by their possibility to be the topic initiator . We first extract features from the web documents and design several topic initiator indicators . Then , we propose a TCL graph which integrates the Time , Content and Link information and design an optimization framework over the graph to compute InitRank . Experiments show that compared with baseline methods , such as direct time sorting , well-known link based ranking algorithms PageRank and HITS , InitRank achieves the best overall performance with high effectiveness and robustness . In case studies , we successfully detected ( 1 ) the first web document related to a famous rumor of an Australia product banned in USA and ( 2 ) the pre-release of IBM and Google Cloud Computing collaboration before the official announcement .
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