The Optimization Of Academic Blog Which Based On User Behavior Analysis

With the quick development of the Internet, it turns a fact that the expansion mainly reality effective network services including commerce electronic service and government electronic service substitute for the mainly traditional ones including information search communication and amusement, etc. Business websites which are profitable websites need to offer more satisfactory service through analyzing users' behaviors and especially their favorites in order to obtain their consumers' need, in the end make their websites own maximum profits from these researches. As to nonprofit website such as government, scientific research institutions also need to analyze their users' classification and their users' behavior traits as the decision certification for making websites more perfect and popular. For above these reasons, users' classification and further basic on this deeply research of network users' behaviors demand attract more and more network service websites' attention. By academic blog which as the descendant classification of blog nowadays be liked by more and more scholars and research workers, however the researches of academic users' behaviors are sparsely. From this thesis through the using classification of academic blogs, applying transfer theory, recognize theory in order to know users' purpose of create their academic blogs. Further more find out users' using traits of this specially blogs' category. In view of these traits including merits and demerits, this thesis present academic website blogs' several sectors' optimize scheme.Thesis uses the most authorized and own research value's scientific websites'blog as the research object, apply SCANWEB reptile software to dig the in formation of data and use ROST which is produced by Wuhan University to get deep analyze of the high rate using words in the blog. For the reason of the complication of blog's article section, applying manual random sample survey collect the blog article's data, through EXCEL software sift out and merge the data than get the ending results. Applying Pearsman mathematical formula in research of the relationship between these factors:visitors' number, blog article's number, friends' number, sharing articles' number and theme which reflects author's mode states. By means of analyze the evaluate factors such as activity level, accumulated points, gold coins and prestige, try to find out their relation and the relation with the independent variable, raise the realization of academic blog appraise factors and through the analyze data recognize users' behavior in using the academic blog. In addition, article also introduces related theory knowledge including data mining knowledge and users' ethology.The work reads as follows in the research area:setting up the concept of academic blog users' concept and categorized chart, then discussing the classification of users based on network users' behavior, analyzing academic blog users' writing article behavior including bloggers publish blog articles' number, length, type, publish time, linking situation and blog owners' character traits and blogosphere's form, in according to this analyze to propose reasonable optimize scheme. By analyzing academic blog users' relation in blog sectors' usage, making invitation of interact section's optimization and which sector is needed for depleting, and in the end analyze appraisal factors' influence to the blog's usage behavior, put forward appraisal factors'optimize mode in order to standard and guide users'behavior.