本文選題：用戶行為建模 + 決策機制��； 參考：《南京郵電大學》2017年碩士論文

【摘要】：社交網絡用戶行為建模旨在最大限度模擬人的真實行為效果并分析其中的行為規(guī)律,進而對某些行為現象給出合理的解釋。然而,早期的用戶模型僅將用戶當作社交網絡中的一個節(jié)點,基于圖論所構建的用戶影響力模型或是基于統(tǒng)計學方法構建的行為動力模型都沒有深入探究行為產生的內部決策機制,另外,有些模型雖然涉及到內部決策機制,但是不夠全面,難以做到擬人決策。本文從微觀個體出發(fā),構建了延展閉環(huán)心理過程決策模型,并將模型應用于抽象的社會階層網絡中,采用基于代理的建模方法,構建了用戶狀態(tài)遷移模型。本文首先基于應用場景提出決策模型的基本框架,并在此基礎上細化了決策的心理過程,進而構建情感激勵模型,雙通道決策模型,意圖波動模型和體驗反饋模型四個過程模型。隨后,本文在社會階層網絡中構建用戶的狀態(tài)遷移模型,從決策的角度研究社會階層流動現象。最后,本文結合自駕游社群活動數據,驗證了心理過程模型的優(yōu)越性,并利用Netlogo軟件進行實驗分析,驗證了狀態(tài)遷移模型的有效性和正確性。本文得到以下結論:在決策模型中構建完善豐富的心理過程能夠提高模型的預測準確性,并且在間隔時間較長的決策情境下,用戶往往會改變自己的原意圖。另外,本文提出的狀態(tài)遷移模型得到了與實際情況較為擬合的階層狀態(tài)分布曲線。研究還發(fā)現:用戶遷移的內部動機越大,則用戶越容易發(fā)生狀態(tài)遷移。
[Abstract]:Social network user behavior modeling aims at maximizing the effect of human behavior and analyzing the behavior rules, and then giving a reasonable explanation for some behavior phenomena. However, the early user model only regards users as a node in the social network, and the user influence model based on the graph theory or based on statistics is based on statistics. In addition, some models are not fully comprehensive and difficult to make human decision making. In this paper, a decision model of the extended closed loop psychological process is constructed and the model is applied to an abstract society. In the hierarchical network, the user state migration model is constructed by using the agent based modeling method. Firstly, based on the application scenario, the basic framework of the decision model is proposed. On this basis, the psychological process of decision making is refined, and then the emotional incentive model, the dual channel decision model, the intention fluctuation model and the experience feedback model are four over. Then, this paper constructs a user's state migration model in the social stratum network and studies the social stratum flow phenomenon from the decision point of view. Finally, the superiority of the mental process model is verified by the data of the self driving community activity, and the effectiveness of the state migration model is verified by the Netlogo software. The following conclusions are obtained: the construction of a perfect and rich psychological process in the decision-making model can improve the prediction accuracy of the model, and the user often changes its original intention map in a decision-making situation with a long interval. In addition, the state migration model proposed in this paper has got a more fitting class with the actual situation. The state distribution curve also shows that the greater the internal motivation of user migration, the more likely users are to migrate.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：O157.5

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本文編號：2090893