Abstract: According to the dynamic and temporal characteristics of the topic-generated network, a method of quantitative calculation was designed, and then the topic-oriented research on the network measurement technology from many aspects such as the features of the content was conducted, as well as the network topology and the characteristics of the user behavior. The experiments on the SINA microblog showed four new results. The first is that only a small portion of tweets has been forwarded broadly and the number of retweets follows the power-law distribution. The second is that the tweets’ number of one topic is episodic and changing frequently, and the burst topic can be detected by the local volatility feature found in the massive background microblog data. The third is that the small-world feature in the topic-generated retweeting network is not obvious, and the dense relationship doesn’t necessarily induce the frequent retweeting behavior. The fourth is that the topic which has been propagated broadly usually has a large portion of the consistently participating users, and the correla-tion of the user behavior can be used to detect the potential and important users. The experimental results are helpful for un-derstanding the propagating mode, the structural characteristics and the pattern of the user behavior in a topic-generated net-work, and the indicators measured in the experiment can also be effectively applied in the future analyses.