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Research And Application On Discriminating Technique Of "Socialbots" In Social Network

Posted on:2014-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y C LinFull Text:PDF
GTID:2268330425464905Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In recent years, as the Internet new concept increasingly into practice, socialnetwork as one of the emerging dating mode, by many users to pursue honors, and inthe daily lives of the people playing a more and more important role, social functionof the network has become an indispensable part of the modern application, almostsay that our life has cannot leave the network.From the application of micro bo, can see, people through the release micro bo towith friends and family members of convenient real-time communication and therelation, and in the first time to deliver an important event of the latest news, hasbecome another important democratic monitoring path. All of these phenomenonreveals a message, namely social network has become the man and machinecoordinate complex adaptive system of a kind of way. People on the Internet in thenormal social at the same time but hard to avoid can meet "social network machineuser".As micro bo of the "zombie powder", the so-called "zombie powder" refers to themicro bo false fan, usually by the system automatically generated malicious registeredusers, general but quantity not heavy quality, is the nominal micro Po fans."Zombiepowder" say again zombie user, no head, no release micro bo, automatic attention is"zombie powder" characteristics, as technology constantly upgrade, with softwarecontrol "zombie powder" can let now these characteristics are hidden, they can have ahead portrait, have issued micro bo, material, active degree also is relatively high."Zombie powder" generation, has its market demand, has its reason to exist andprofit growth space, but because of its lack of network media management system,enabling the network media can’t active supervision and their users, users don’t solveproblems such as honesty. And there are three kinds of hazard: one is to a particular user’s damage (such as slander others, disclosure of others privacy),2it is to themicro bo credibility and integrity environmental damage, the third is to the micro boevaluation mechanism and valuation setting mechanism of damage, misleading thepublic and secondary sales buyers, advertisers. Therefore, the network of businessmenare used "zombie powder" bring micro bo prosperity foam phenomenon and thedamage caused by need to cause the attention of people more.Based on the sina micro bo platform as the research object, in view of the microbo platform are false fans-zombie powder problems are analyzed, and strive toresearch a kind of can identify such as "zombie powder" type of "social networkmachine user" algorithm, and the development of the corresponding application, helpthe real user to clean their "zombie powder". The main use of the "correlationcoefficient" and "non singular matrix of the system of linear equations solution" andso on the knowledge of data analysis, in order to work out a screening algorithm. Andin sina micro Po open platform and sina cloud platform (SAE) in PHP programminglanguage foundation for the development of screening application.Through the userexperiment, reached the expected effect, can higher accuracy of zombie powder arescreened.However, age in progress, technology in the update, the so-called: while thepriest climbs a post, the priest climbs a post, the zombie powder after a long time of"evolution and evolution", no head, can’t talk, no fans, also won’t forward commentsfans already die out, it is difficult to identify of live powder, the powder at this stage itis still difficult to eradicate, therefore, in the new phase continuously improve thetechnical level and strengthen supervision dynamics, technically force-out zombiepowder market.
Keywords/Search Tags:social network, socialbots, zombie fans, discriminate, Sina Weibo, open platform, SAE, PHP
PDF Full Text Request
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