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Web Data Mining And Its Application Research In Social Networks

Posted on:2013-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:M T LuFull Text:PDF
GTID:2248330374986099Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
The Internet becomes largely intelligentized, humanized and soclialized as thetechnology of WEB2.0is widely developed to greater maturity. This technology setsout to permeate all walks of life and in particular influences the way of living forhuman beings. Social network, the mainstream product in WEB2.0era, suddenly ismentioned around the globe. The information that users interact with each othermushrooms on the platform of social network and will be seen to explode in the longrun. However, fertile information compared with barren wisdom becomes a new issue.The key idea in the era of Internet WEB2.0is to take users as principle and accordinglyto value the experience of users and the interaction between them. Consequently it isnatural that how loads of interaction information on social network platform canefficiently be gathered and then put into use, a process from which pricelessknowledge can be mined to offer quality experience serve for users, is becoming one ofthe hottest topic in the Internet arena.This article, in order to prove the usage of magnanimity interaction informationon the social network platform, endeavors to apply WEB data mining to the socialnetwork. By conducting a further and wider research from WEB data mining and thecharacteristics of social network to personal tag cloud, the editor brings forth a newconcept of personal tag cloud on the ground of social network and then designs thesystem of social network personal tag and successfully make it run. This articleincludes two parts:First is the theory. This part, as the solid basement for further presentation ofWEB data mining in practice, introduces and analyzes the theories on data mining andparticularly WEB data mining as specific as possible including a general statement onthe major technologies, classification, data sources, functions and processingprocedures as well as main issues that confronts applying data mining and WEB datamining respectively. Moreover in this part, the writer takes a closer look atcharacteristics of social network analyzing the basic elements of social network,general ideas, ways of framework expression, main features and functions, which help to draw a picture of social network development, architecture, demand model for usersand possible threats. All the efforts provide theoretical foundation to the follow-upexploitation of the personal tag cloud on the ground of social network.Secondly, the practice of the theories lies in the process of designing andaccomplishing personal tag cloud systems which is based on the social network. In thispart,research is made to help scheme a plan of preprocessing social network data.Accordingly log preprocessing and text preprocessing are put to elaborate the plan andon the other hand, to offer the quality data sources for the text mining. Besides detaileddescription of the design and accomplishment of personal tag cloud is introduced.Final statement summarizes the practical significance of creating personal tag cloudover the social network setting the tone for the research work in the future.
Keywords/Search Tags:web data mining, social network, tag, text mining, data preprocessing
PDF Full Text Request
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