【摘要】：Web2.0時(shí)代的到來(lái),使得互聯(lián)網(wǎng)技術(shù)朝著更加人性化的方式發(fā)展,Twitter、 Facebook、微博、朋友網(wǎng)、人人網(wǎng)等社交軟件也隨之興起并飛速發(fā)展,目前,人們的日常交流活動(dòng)基本都是在這些社交軟件所提供的平臺(tái)上進(jìn)行。人與人之間以這些社交軟件為媒介進(jìn)行有目的的信息交流,從而產(chǎn)生關(guān)系網(wǎng)絡(luò),這種以人,和人與人之間關(guān)系而構(gòu)成的社會(huì)網(wǎng)絡(luò)結(jié)構(gòu),稱(chēng)之為社交網(wǎng)絡(luò)。社交網(wǎng)絡(luò)的兩個(gè)結(jié)構(gòu)要素是節(jié)點(diǎn)和邊,節(jié)點(diǎn)一般指人,邊是人與人之間的關(guān)系。順應(yīng)科技發(fā)展的需要而產(chǎn)生的科研合作網(wǎng)絡(luò),是科研合作的產(chǎn)物,是科研學(xué)者之間的社交網(wǎng)絡(luò),而科研合著網(wǎng)絡(luò)又是科研合作網(wǎng)絡(luò)中由科研學(xué)者之間通過(guò)合著論文而產(chǎn)生關(guān)系從而構(gòu)成的合著者之間的社交網(wǎng)絡(luò)。本文研究的對(duì)象為社交網(wǎng)絡(luò)中有代表性的兩種網(wǎng)絡(luò)：微博用戶(hù)關(guān)系網(wǎng)絡(luò)和科研合著網(wǎng)絡(luò),前者是有向網(wǎng)絡(luò),后者是無(wú)向網(wǎng)絡(luò)。 社交網(wǎng)絡(luò)的概念來(lái)源于社會(huì)學(xué),自提出以來(lái)就引起了國(guó)內(nèi)外學(xué)者的廣泛關(guān)注,到目前為止,社交網(wǎng)絡(luò)的研究熱潮仍未退去。網(wǎng)絡(luò)數(shù)據(jù)的獲取是社交網(wǎng)絡(luò)研究所要解決的首要問(wèn)題,但是,大多數(shù)已有的關(guān)于社交網(wǎng)絡(luò)的研究,其網(wǎng)絡(luò)數(shù)據(jù)來(lái)源是公用數(shù)據(jù)集,或者模擬的網(wǎng)絡(luò)數(shù)據(jù)集,這在一定程度上不能準(zhǔn)確地反映社交網(wǎng)絡(luò)結(jié)構(gòu)的真實(shí)情況。所以,從互聯(lián)網(wǎng)上獲取真實(shí)的社交網(wǎng)絡(luò)結(jié)構(gòu)數(shù)據(jù)就顯示尤為重要,也使得社交網(wǎng)絡(luò)的研究成果更加具有實(shí)際意義。本文設(shè)計(jì)的社交網(wǎng)絡(luò)數(shù)據(jù)獲取與結(jié)構(gòu)分析系統(tǒng)實(shí)現(xiàn)了真實(shí)數(shù)據(jù)的獲取,分別從新浪微博系統(tǒng)和DBLP數(shù)據(jù)庫(kù)中獲取真實(shí)的新浪微博用戶(hù)關(guān)系數(shù)據(jù)與合著關(guān)系數(shù)據(jù)。 社會(huì)網(wǎng)絡(luò)分析方法和復(fù)雜網(wǎng)絡(luò)分析方法是被國(guó)內(nèi)外學(xué)者廣泛認(rèn)可的兩種社交網(wǎng)絡(luò)結(jié)構(gòu)分析方法。對(duì)于科研合著網(wǎng)絡(luò)來(lái)說(shuō),分析其網(wǎng)絡(luò)結(jié)構(gòu),對(duì)促進(jìn)科研合作的繼續(xù)發(fā)展,預(yù)測(cè)某一領(lǐng)域的發(fā)展方向等具有重要的作用。對(duì)于微博用戶(hù)關(guān)系網(wǎng)而言,分析其網(wǎng)絡(luò)結(jié)構(gòu),對(duì)于市場(chǎng)運(yùn)營(yíng)、用戶(hù)推薦等都有著重要的借鑒意義。本文設(shè)計(jì)并實(shí)現(xiàn)的系統(tǒng)采用社會(huì)網(wǎng)絡(luò)分析方法中的角色分析方法研究科研合著網(wǎng)絡(luò)結(jié)構(gòu),對(duì)意見(jiàn)領(lǐng)袖和結(jié)構(gòu)洞進(jìn)行分析研究,采用復(fù)雜網(wǎng)絡(luò)分析方法研究新浪微博用戶(hù)關(guān)系網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)特性。 本文設(shè)計(jì)并實(shí)現(xiàn)了社交網(wǎng)絡(luò)數(shù)據(jù)獲取與網(wǎng)絡(luò)結(jié)構(gòu)分析系統(tǒng),主要工作如下： 1、介紹了本文在設(shè)計(jì)并實(shí)現(xiàn)系統(tǒng)時(shí)涉及到的相關(guān)概念和技術(shù)。 2、設(shè)計(jì)并實(shí)現(xiàn)新浪微博數(shù)據(jù)獲取與網(wǎng)絡(luò)結(jié)構(gòu)分析功能,使系統(tǒng)可以完成從新浪微博系統(tǒng)中獲取真實(shí)的用戶(hù)關(guān)系數(shù)據(jù),對(duì)數(shù)據(jù)進(jìn)行去噪處理,并生成關(guān)系網(wǎng)絡(luò)結(jié)構(gòu)圖,且采用復(fù)雜網(wǎng)絡(luò)分析方法對(duì)網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)特性進(jìn)行分析等一系列工作。 3、設(shè)計(jì)并實(shí)現(xiàn)科研合著網(wǎng)絡(luò)數(shù)據(jù)獲取與結(jié)構(gòu)分析功能,使系統(tǒng)可以完成從DBLP數(shù)據(jù)庫(kù)中獲取以“數(shù)據(jù)挖掘”為主題的四個(gè)級(jí)別的學(xué)術(shù)會(huì)議收錄的論文合著數(shù)據(jù),對(duì)數(shù)據(jù)進(jìn)行處理,生成合著網(wǎng)絡(luò)結(jié)構(gòu)圖,檢測(cè)出top100個(gè)結(jié)構(gòu)洞和意見(jiàn)領(lǐng)袖等功能。 4、以top100個(gè)結(jié)構(gòu)洞和意見(jiàn)領(lǐng)袖為研究對(duì)象,分別從論文數(shù)、citation number、H-index和G-index這四種衡量科研學(xué)者學(xué)術(shù)成就的重要指標(biāo)進(jìn)行對(duì)比分析。
[Abstract]:The arrival of the Web2.0 era makes Internet technology develop towards a more humanized way. Social software, such as Twitter, Facebook, micro-blog, friend network and Renren network, has also developed and developed rapidly. At present, people's daily communication activities are basically on the platform provided by these social software. The two structural elements of a social network are nodes and sides, the nodes are generally people and the relationship between people and people. They are generated by the needs of the development of science and technology. The research cooperation network is the product of scientific research cooperation, the social network among scientific researchers, and the scientific research collaboration network is the social network between the co authors of scientific research cooperation network which is formed by the co authored papers among the scientific researchers. The object of this paper is the two kinds of representative networks in the social network: micro network. Bo user relationship network and research coauthor network. The former is directed network while the latter is undirected network.
The concept of social network comes from sociology, which has aroused wide attention of scholars at home and abroad since it was put forward. So far, the research upsurge of social network has not been retreated. The acquisition of network data is the primary problem to be solved by social network research institute. However, most of the research on social networks, its network data sources It is a public data set, or a simulated network data set, which can not accurately reflect the real situation of the social network structure. Therefore, it is particularly important to obtain real social network structure data from the Internet, and make the research results of social networks more practical. The social network designed in this paper The data acquisition and structural analysis system realized the acquisition of real data, and obtained real Sina micro-blog user relations data and co authored data from Sina micro-blog system and DBLP database.
The social network analysis method and the complex network analysis method are two social network structure analysis methods widely recognized by the domestic and foreign scholars. For the scientific research collaboration network, the analysis of its network structure plays an important role in promoting the continuous development of scientific research cooperation and predicting the direction of the development of a certain field. For the micro-blog user relations network For the analysis of its network structure, it is of great significance for market operation and user recommendation. The system used in this paper is designed and implemented by the role analysis method in the social network analysis method to study the cooperative network structure, analyze the opinion leader and the structure hole, and study the Sina with complex network analysis method. The topology of the micro-blog user relationship network.
This paper designs and implements a data acquisition and network structure analysis system for social networks. The main tasks are as follows:
1, introduce the related concepts and technologies involved in the design and implementation of the system.
2, the design and implementation of sina micro-blog data acquisition and network structure analysis function, so that the system can complete the real user relationship data from the Sina micro-blog system, denoise the data, and generate a relational network structure diagram, and use the complex network analysis method to analyze the network topology characteristics and so on a series of work.
3, design and implement the function of data acquisition and structure analysis of the joint research network, so that the system can complete the data collected from the four academic conferences of "data mining" from the DBLP database, process the data, generate the co authored network composition, detect the Top100 structure holes and opinion leaders, etc. Function.
4, with Top100 structure holes and opinion leaders as the research object, the paper compares the four important indexes of academic achievements of scientific research scholars from the number of papers, citation number, H-index and G-index, respectively.
【學(xué)位授予單位】：安徽大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP393.09

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