Micro-blog Information Collection and Group Behaviors Analysis
Ka Gao · Journal of Chinese Computer Systems · 2013
With the rapid development on online social relationship network,millions of people present or comment or share their topics on this new ly platform everyday. It is necessary to mine and analyze this domain by means of the perception,collection,storage and analysis of the social relationship big data. It is hard for a traditional w eb page craw ler to craw l micro-blog data as usual,as there are more differences on micro-blog' s login,display or data processing. We present an algorithm on modelling on micro-blog data craw ler based on simulating brow sers' behaviors. This needs to analyze the simulated brow sers' behaviors in order to obtain the relevant information. The experimental results and the analysis show the feasible of the approach. On the basis of the craw led micro-blog data,w e present the group behaviors analysis.