Measuring E-commercial User Influence Of The Microblog Based On Behaviors And Interrelation

Sina microblog gradually become an information platform for instant sharing and an information exchange platform in2009. and also reflect people’s anecdote in real life, share and discover interesting anecdotes of people around, cover the broadest range of enterprise and celebrity. By the end of march2013. Sina microblog registered users has exceeded500million, which contains a large number of e-commerce business, such as official microblog of Jingdong, such as the official twitter of TaoBao and so on, Sina would certify real name of the e-commerce enterprise, certification the symbol of ’V’ on interface of e-commerce enterprise. These e-commerce enterprises mainly promote market, by this those enterprises could promote new products and new services in microblog, and microblog marketing play a vital role in improving enterprises’ image. However, in the social relations of e-commerce user, there will be some zombie fan and user of the network Navy, most of these users are the machine forward and comment messages which is a kind of inhuman behavior in microblog.So they would have a negative impact on the effectiveness and utility of twitter marketing. So, this paper could to measure the level of importance of e-commerce users in social network according to the e-commerce users’ follow and be followed of social relation and social behavior. It is more important for us to future understand direction of the microblog and to promote the economic development of the internet.This paper has the following main aspects:First, the combination of Sina API and web crawler, traditional Crawler method for obtaining data on the internet need to download a large number of web pages to local, and then extract needed data from the page, but this method requires crawling a large number of the page. It couldn’t be effective without downloading a lot of pages to get the bulk of the specified data, and in march2013, Sina microblog change the encryption algorithm when the user login via a browser, so traditional method was unable to complete the task of taking data. Sina API interfaces while to make up for the lack of that, but Sina server, on a different level of authorized users, to allow access to the interface of different frequency limit, therefore, unable to complete work at once. So, this paper offers one method of the combination of Sina API and web crawler to get e-commerce users’data in the Sina microblog.lt is convenient to store semi-structured data structure.Secondly,this article uses a non-relational database, which name is MongoDB.for storing data.It is more convenient for MongoDB to store semi-structured data structure and HTML.Thirdly, on the microblogging e-commerce user clustering analysis of the relationship.Fourth aspects, this paper is based on the traditional linear calculation of microblogging node influence to proposed a new method for calculating measurement of e-commerce influence.New algorithms need to input data after clustering all the social relationship data for calculation of real users, and then use statistical methods to certify.