With the rapid development of P2P technology, P2P IPTV applications have received more and more attention. And program\nresource distribution is very important to P2P IPTV applications. In order to collect IPTV program resources, a distributed multiprotocol\ncrawler is proposed. And the crawler has collected more than 13 million pieces of information of IPTV programs from\n2009 to 2012. In addition, the distribution of IPTV programs is independent and incompact, resulting in chaos of program names,\nwhich obstructs searching and organizing programs.Thus, we focus on characteristic analysis of program resources, including the\ndistributions of length of programnames, the entropy of the character types, and hierarchy depth of programs. These analyses reveal\nthe disorderly naming conventions of P2P IPTV programs.The analysis results can help to purify and extract useful information\nfromchaotic names for better retrieval and accelerate automatic sorting of programand establishment of IPTV repository. In order\nto represent popularity of programs and to predict user behavior and popularity of hot programs over a period,we also put forward\nan analytical model of hot programs.
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