本文選題：社會(huì)網(wǎng)絡(luò) + 建模��； 參考：《華中科技大學(xué)》2012年碩士論文

【摘要】：人際傳播是最基本的信息傳播方式，滲透于人們的生活之中。人際傳播嵌入在人際關(guān)系中，同時(shí)也會(huì)影響個(gè)人的人際關(guān)系。對(duì)人際關(guān)系的研究對(duì)研究人際信息傳播的機(jī)制有重要的意義。人際傳播蘊(yùn)含情感的因素，個(gè)體間的人際關(guān)系對(duì)于傳播過程中傳播者的傳播意向與接受者的信任程度均有重要影響。信息傳播者通常會(huì)傾向于將信息向與自己關(guān)系密切的人傳播，由于不同的關(guān)系類型承載著不同的資源和功用，在信息的傳播過程中，個(gè)體也會(huì)根據(jù)關(guān)系的內(nèi)容，選擇不同的群體進(jìn)行傳播�；谝陨系姆治�，本文提出了對(duì)個(gè)體間關(guān)系類型與關(guān)系強(qiáng)度進(jìn)行劃分的思路。 本文采用社會(huì)網(wǎng)絡(luò)分析的方法，根據(jù)不同關(guān)系類型群體的形成原因和特征提出了判斷關(guān)系類型的解釋變量，根據(jù)文獻(xiàn)總結(jié)提出了關(guān)系強(qiáng)度的解釋變量。采用問卷調(diào)查方法，，使用個(gè)人中心網(wǎng)絡(luò)的提名生成法和提名詮釋法收集數(shù)據(jù)。對(duì)變量進(jìn)行描述統(tǒng)計(jì)、相關(guān)性檢驗(yàn)、共線性檢驗(yàn)和logistic回歸分析，建立關(guān)系類型與關(guān)系強(qiáng)度的回歸模型，模型的正判率均比較理想。 將上述得到的劃分模型應(yīng)用于人際關(guān)系網(wǎng)絡(luò)建模中。首先生成個(gè)體模型，以第五次人口普查數(shù)據(jù)作為依據(jù)，制定個(gè)體模型的生成規(guī)則。開發(fā)了能夠根據(jù)實(shí)驗(yàn)情景靈活生成個(gè)體模型的平臺(tái)。所生成的個(gè)體模型的特征變量設(shè)置合理。然后在仿真平臺(tái)中將logistic回歸模型應(yīng)用到演化完成的人際關(guān)系網(wǎng)絡(luò)中，判斷出每兩個(gè)相連個(gè)體之間的關(guān)系類型與關(guān)系強(qiáng)度，關(guān)系信息使用標(biāo)簽標(biāo)注顯示。最后對(duì)網(wǎng)絡(luò)中個(gè)體間的關(guān)系進(jìn)行分析，結(jié)果顯示不同關(guān)系類型間的關(guān)系強(qiáng)度分布與調(diào)查數(shù)據(jù)相符，個(gè)體間的關(guān)系強(qiáng)度符合局部橋的弱關(guān)系假設(shè)以及禁現(xiàn)三方關(guān)系假設(shè)，證實(shí)了模型的合理性。
[Abstract]:Interpersonal communication is the most basic way of information dissemination, permeating people's life. Interpersonal communication is embedded in interpersonal relationships and also affects personal relationships. The study of interpersonal relationship is of great significance to the study of the mechanism of interpersonal information dissemination. Interpersonal communication contains emotional factors, and interpersonal relationships between individuals have an important impact on the communication intention of the communicator and the degree of trust of the recipient. Information communicators usually tend to spread information to people who are close to themselves. Because different types of relationships carry different resources and functions, individuals will also according to the content of the relationship in the process of information dissemination. Select different groups to spread. Based on the above analysis, this paper puts forward the idea of dividing the types and intensity of relationships between individuals. In this paper, the method of social network analysis is used to put forward the explanatory variables to judge the relationship types according to the formation reasons and characteristics of the groups of different relation types, and the explanatory variables of the relationship intensity are put forward according to the summary of the literature. The method of questionnaire survey was used to collect data using nomination generation method and nomination interpretation method of personal center network. The regression model of relationship type and relationship strength is established by descriptive statistics, correlation test, collinear test and logistic regression analysis. The positive judgment rate of the model is all satisfactory. The proposed partitioning model is applied to interpersonal network modeling. Firstly, the individual model is generated, and the rules of individual model generation are established on the basis of the fifth census data. A platform is developed to flexibly generate individual models according to experimental scenarios. The characteristic variables of the generated individual model are set reasonably. Then the logistic regression model is applied to the evolving interpersonal network in the simulation platform to judge the relationship type and the relationship strength between each two connected individuals. The relationship information is displayed with label. Finally, the relationship between individuals in the network is analyzed. The results show that the relationship intensity distribution between different relationship types is consistent with the survey data, and the relationship strength between individuals accords with the weak relationship hypothesis of local bridge and the prohibitive tripartite relationship hypothesis. The rationality of the model is verified.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：C912.1;G206

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