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Education Website Community Found That The Methods And Techniques Of Research

Posted on:2012-01-26Degree:MasterType:Thesis
Country:ChinaCandidate:Z X ZhaoFull Text:PDF
GTID:2208330332492355Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years, profiting from the rapid development of Internet, more and more people can publish information on it, and they also obtain information from it. The web has become a platform which includes information processing, manufacturing, processing and distribution, it provides contents cover all aspects of people's living, study and work, and its speed is continually expanding, so it is a ever-changing source of information. With the development of study on the physical meaning and mathematical properties of complex networks, it was discovered that many networks have a common trait with social network, it called community structure, but this structure is a set which elements are interested in some theme, that to say, the elements have the same properties. Such a structure also exist in a website that have rich resource and user, such as educational website, some users collected together based on similar interests, and form a interest network. Since the community structure also exist the interest network, it also should have a number of sociological characters that the social network embodied, such as:community centrality, community stability and small-world characters. This thesis will use the node similarity method to discover some communities. First of all, we will look the nodes in network as each separate community; next, calculate the similarity between them, merge the two nodes that have largest similarity as a community, and adjust the similarity between the other points and the new community; finally, through calculate the module to find all of the communities.Firstly, we put a research on the method about community modules calculation that be proposed by Newman and Girvan, because its highly subjective and its result will be different under different conditions; Secondly, we will introduce a community discover algorithm based on interest similarity, and achieved very good results.The experimental results show that the scale of communities our algorithm found, is well-proportioned, and most of these communities are relative small. From the stability of community speaking, small-scale community is stable and easy to understand.Using the community discover technique in education website, we can continue find the core theme and the core man, then set a new network environment including planning, learning, self-teaching, in order to make up the disadvantages of the traditional, and lay a foundation for next step to establish a "theme resource community", and provides users with a more professional platform for communication, the community discover technique for educational website must stimulate the development of Teaching information.
Keywords/Search Tags:community, educational website, similanty, modularity
PDF Full Text Request
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