本文選題：社交網(wǎng)絡(luò) + 傳播特性��； 參考：《清華大學(xué)》2014年碩士論文

【摘要】：電子商務(wù)的爆炸式發(fā)展使得海量交易信息在互聯(lián)網(wǎng)上蔓延，消費(fèi)者倍受無用信息干擾，商家則無法將有效信息大范圍精確的傳遞給目標(biāo)客戶，互聯(lián)網(wǎng)上的交易信息流動受阻，匹配低效，效率不高。針這一問題，微博、微信等社交網(wǎng)絡(luò)在信息傳播方面的優(yōu)越性為提升交易信息匹配性能提供了一種新的解決思路。本文旨在以信息的傳播范圍、傳播精度和傳播效率為評價(jià)指標(biāo)，通過對微博信息傳播機(jī)理的分析，設(shè)計(jì)一種優(yōu)于微博、微信等的基于社交網(wǎng)絡(luò)關(guān)系的交易信息匹配系統(tǒng)——微商。 首先，網(wǎng)絡(luò)結(jié)構(gòu)是信息傳播的基礎(chǔ)，本文對微博等社交網(wǎng)絡(luò)結(jié)構(gòu)進(jìn)行了實(shí)證分析，建立了微商系統(tǒng)網(wǎng)絡(luò)結(jié)構(gòu)的理論模型，并類比微博網(wǎng)絡(luò)結(jié)構(gòu)特性驗(yàn)證了模型的合理性； 其次，信息轉(zhuǎn)發(fā)是信息傳播的動力，本文以用戶行為為研究對象，列舉了微博上信息傳播的驅(qū)動要素，從實(shí)證數(shù)據(jù)分析，用戶興趣定義及匹配算法，社會心理學(xué)分析三個角度統(tǒng)籌建立了用戶轉(zhuǎn)發(fā)模型，從而能夠計(jì)算特定信息的轉(zhuǎn)發(fā)概率； 再次，本文對微博信息傳播過程進(jìn)行了實(shí)證分析，圍繞信息的傳播范圍、傳播精度和傳播效率總結(jié)了微博信息傳播規(guī)律，并根據(jù)微商系統(tǒng)網(wǎng)絡(luò)結(jié)構(gòu)的理論模型，模擬了特定發(fā)布者發(fā)布的特定信息的傳播特性，獲得了與微博信息傳播相媲美的效果； 最后，，本文設(shè)計(jì)了一個包含信息自動轉(zhuǎn)發(fā)、信息自動分類和供需信息雙向流動等功能的微商系統(tǒng)，并在信息的傳播范圍、傳播精度和傳播效率方面與微博網(wǎng)絡(luò)、小世界網(wǎng)絡(luò)進(jìn)行了比較，該系統(tǒng)在各評價(jià)指標(biāo)方面表現(xiàn)突出，很好的實(shí)現(xiàn)了交易信息大范圍、高精度、高效率傳播的預(yù)期目標(biāo)。
[Abstract]:The explosive development of electronic commerce makes the massive transaction information spread on the Internet, consumers suffer from the interference of useless information, the merchants can not transfer the effective information to the target customers in a large range and accurately, and the flow of transaction information on the Internet is blocked. The matching is inefficient and inefficient. The advantages of social networks such as Weibo and WeChat in information dissemination provide a new way to improve the performance of transaction information matching. The purpose of this paper is to take the range, accuracy and efficiency of information as the evaluation index, and to design a better information transmission mechanism than Weibo through the analysis of the mechanism of Weibo information transmission. WeChat and other transaction information matching system based on social network relationship-differential quotient. Firstly, the network structure is the basis of information transmission. This paper makes an empirical analysis on the social network structure such as Weibo, establishes the theoretical model of the network structure of derivative system, and verifies the rationality of the model by analogy with the characteristics of Weibo network structure. Secondly, information forwarding is the driving force of information transmission. This paper takes user behavior as the research object, enumerates the driving factors of information transmission on Weibo, from empirical data analysis, user interest definition and matching algorithm. The user forwarding model is established from three angles of social psychology analysis so as to calculate the forwarding probability of specific information. Thirdly, this paper makes an empirical analysis on the process of Weibo information dissemination, summarizes the rules of Weibo information dissemination around the scope, accuracy and efficiency of information dissemination, and according to the theoretical model of the network structure of derivative system, The propagation characteristics of specific information published by specific publishers are simulated, and the results are comparable to those of Weibo information dissemination. Finally, this paper designs a derivative system which includes the functions of automatic forwarding of information, automatic classification of information and two-way flow of information between supply and demand. The system is related to Weibo network in terms of the range, accuracy and efficiency of information transmission. Compared with the small-world network, the system has outstanding performance in each evaluation index, and achieves the expected goal of large-scale, high-precision and high-efficiency transmission of transaction information.
【學(xué)位授予單位】：清華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.092;O157.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 閆強(qiáng);吳聯(lián)仁;鄭蘭;;微博社區(qū)中用戶行為特征及其機(jī)理研究[J];電子科技大學(xué)學(xué)報(bào);2013年03期

2 陳思yN;何志榮;;從消費(fèi)者角度探究B2C電子商務(wù)購物售后評價(jià)體系的弊端——以天貓商城為例[J];電子商務(wù);2013年10期

3 樊鵬翼;王暉;姜志宏;李沛;;微博網(wǎng)絡(luò)測量研究[J];計(jì)算機(jī)研究與發(fā)展;2012年04期

4 吳凱;季新生;劉彩霞;;基于行為預(yù)測的微博網(wǎng)絡(luò)信息傳播建模[J];計(jì)算機(jī)應(yīng)用研究;2013年06期

5 謝耘耕;榮婷;;微博輿論生成演變機(jī)制和輿論引導(dǎo)策略[J];現(xiàn)代傳播(中國傳媒大學(xué)學(xué)報(bào));2011年05期

6 張賽;徐恪;李海濤;;微博類社交網(wǎng)絡(luò)中信息傳播的測量與分析[J];西安交通大學(xué)學(xué)報(bào);2013年02期

本文編號：1903934