The formation rules of microblog new words are extremely complex with high degree of dispersion, and the extracted results by using traditional C/NC-value method have several problems, including relatively low accuracy of the boundary of identified new words and low detection accuracy of new words with low frequency. To solve these problems, a method of integrating heuristic rules, modified C/NC-value method and Conditional Random Field (CRF) model was proposed. On one hand, heuristic rules included the abstracted information of classification and inductive rules focusing on the components of microblog new words. The rules were artificially summarized by using Part Of Speech (POS), character types and symbols through observing a large number of microblog documents. On the other hand, to improve the accuracy of the boundary of identified new words and the detection accuracy of new words with low frequency, traditional C/NC-value method was modified by merging the information of word frequency, branch entropy, mutual information and other statistical features to reconstruct the objective function. Finally, CRF model was used to train and detect new words. The experimental results show that the F value of the proposed method in new words detection is improved effectively.

It has been a hot research area using the complex network theory and method to model the communication network, analyzing the statistical properties in evolving process and guiding the optimization of routing strategies. The research status of the modeling, the analysis of the statistical properties, the optimization of routing strategies and the design of routing protocols in the Internet of Vehicles (IoV) were analyzed. In addition, three improvements were proposed. The first is using the directed weighted graph to describe the topology of IoV. The second is analyzing the key statistical properties influencing the transmission capacity of IoV based on the differences of statistical properties between the IoV and the mobile Ad Hoc network. The third is optimizing the multi-path routing strategies based on Multiple-Input Multiple-Output (MIMO) technologies by the complex network, which means utilizing multiple channels and multiple paths to transmit.