本文選題：信息生命周期　切入點：復(fù)雜網(wǎng)絡(luò)　出處：《吉林大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)和無線通訊技術(shù)的快速發(fā)展，社交媒體已經(jīng)逐漸成為主流信息交流平臺之一。手機用戶群體作為最大的社交媒體用戶群體之一，在信息分享、在線商務(wù)、電子營銷、網(wǎng)絡(luò)新聞等領(lǐng)域發(fā)揮了十分巨大的作用，帶來了重要的經(jīng)濟(jì)價值和人文價值。因此，在手機用戶網(wǎng)絡(luò)中，對于信息擴(kuò)散方面的研究，正在逐漸引起國內(nèi)外學(xué)術(shù)界的高度重視，成為當(dāng)前的熱點研究課題之一。 對于傳播過程的研究，通常需要從對傳播模型的研究入手，這樣可以更準(zhǔn)確的模擬信息在網(wǎng)絡(luò)中的傳播過程，為進(jìn)一步研究提供依據(jù)。社交媒體上的信息，往往都是存在其生命周期的。從信息在網(wǎng)絡(luò)中出現(xiàn)開始，，需要經(jīng)歷“醞釀期-爆發(fā)期-消解期”的過程。在生命周期的各個階段，信息傳播的特點各不相同。本文通過對信息生命周期進(jìn)行分析，得到如下特點： （1）用戶第一次收到信息時對是否接受該信息所做的判斷，是不會改變的； （2）在信息生命周期的不同階段，用戶接受信息的概率是變化的，醞釀期較低，爆發(fā)期非常高，消解期非常低。 基于上述特點，本文對當(dāng)前信息傳播領(lǐng)域的經(jīng)典模型進(jìn)行了歸納總結(jié)，并且重點研究了疾病傳播理論及相關(guān)的信息傳播模型，通過對這些模型的總結(jié)分析，結(jié)合信息生命周期各階段的傳播特點，提出了一種基于生命周期的信息傳播模型。該模型考慮了用戶在信息傳播的不同階段，接受信息的可能性問題各不相同。然后，從網(wǎng)絡(luò)建模、傳播模型構(gòu)建、傳播流程圖、傳播示意圖等方面，對該模型進(jìn)行了詳細(xì)介紹。 為了更好的對該模型進(jìn)行研究，本文選取ER模型和BA模型生成模型網(wǎng)絡(luò)數(shù)據(jù)，以該傳播模型為基礎(chǔ)進(jìn)行信息傳播模擬實驗，首先對網(wǎng)絡(luò)平均度、網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)、相互接受概率等三種因素與信息傳播范圍的關(guān)系進(jìn)行研究，結(jié)果如下： （1）信息傳播范圍隨著網(wǎng)絡(luò)平均度的增大而增大； （2）BA模型網(wǎng)絡(luò)的信息傳播范圍大于ER模型網(wǎng)絡(luò)，但這一差距會隨著網(wǎng)絡(luò)平均度的增大而減��； （3）隨著節(jié)點間相互接受概率的增大，傳播范圍增大。 進(jìn)一步，為了研究傳播源點的選取方法，本文從網(wǎng)絡(luò)中節(jié)點所處位置的重要性入手，對現(xiàn)有的三種網(wǎng)絡(luò)節(jié)點重要性指標(biāo)，包括度中心性、介數(shù)中心性、緊密度中心性等進(jìn)行了研究。通過在網(wǎng)絡(luò)中選取這三種指標(biāo)較大的節(jié)點作為傳播源點，與隨機選取方法進(jìn)行對比模擬實驗，通過分析實驗數(shù)據(jù)，可以得出，在ER網(wǎng)絡(luò)和BA網(wǎng)絡(luò)上，選取度中心性和介數(shù)中心性較大的節(jié)點作為傳播源點，其傳播范圍更大，效果更好。
[Abstract]:With the rapid development of Internet technology and wireless communication technology, social media has gradually become one of the mainstream information exchange platforms. Electronic marketing, network news and other fields have played a very important role, bringing important economic and human value. Therefore, in the mobile phone user network, the research on information diffusion, The academic circles at home and abroad are paying more and more attention to it and become one of the hot research topics. For the study of the communication process, we usually need to start with the study of the communication model, so that we can more accurately simulate the process of information spread in the network, and provide the basis for further research. Often there is a life cycle. Starting with the presence of information in the network, the process of "brewing, erupting, dissolving," occurs at all stages of the life cycle. The characteristics of information dissemination are different. Through the analysis of the life cycle of information, the following characteristics are obtained:. 1) the judgment made by the user on whether or not to accept the information will not change when he receives the information for the first time; 2) in the different stages of the information life cycle, the probability of the user accepting the information is changed, the gestation period is low, the outbreak period is very high, and the digestion period is very low. Based on the above characteristics, this paper summarizes the current classical models in the field of information transmission, and focuses on the study of disease transmission theory and related information transmission models, through the summary and analysis of these models, According to the characteristics of each stage of information life cycle, a life cycle based information dissemination model is proposed. The model considers the possibility of users receiving information at different stages of information dissemination. The model is introduced in detail from network modeling, propagation model construction, propagation flow chart and propagation schematic. In order to study the model better, this paper selects ER model and BA model to generate model network data, and carries on the information propagation simulation experiment based on the transmission model. The relationship between the probability of mutual acceptance and the scope of information dissemination is studied. The results are as follows:. 1) the range of information transmission increases with the increase of network average; The information propagation range of the model network is larger than that of the ER model network, but the gap will decrease with the increase of the average degree of the network. 3) with the increase of mutual acceptance probability between nodes, the propagation range increases. Furthermore, in order to study the selection method of propagation source point, this paper starts with the importance of the location of nodes in the network, and discusses three kinds of network node importance indexes, including degree centrality, intermediate centrality, and so on. Through selecting these three kinds of nodes as the transmission source point in the network, and comparing with the random selection method, we can get, by analyzing the experimental data, In ER network and BA network, the nodes with greater degree of centrality and centricity of medium are chosen as the source points of propagation, and the propagation range is larger and the effect is better.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：O157.5;TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 李棟;徐志明;李生;劉挺;王秀文;;在線社會網(wǎng)絡(luò)中信息擴(kuò)散[J];計算機學(xué)報;2014年01期

本文編號：1559866