發(fā)布時(shí)間：2018-02-13 03:40

  本文關(guān)鍵詞： BBS論壇 復(fù)雜網(wǎng)絡(luò) 用戶分類 互動(dòng)行為 交互特性　出處：《首都師范大學(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)和Web2.0的飛速發(fā)展,許多供人們交流和溝通的虛擬空間也隨之產(chǎn)生,例如博客、BBS論壇等。在BBS論壇中,用戶之間通過發(fā)帖和回帖的形式建立聯(lián)系,形成虛擬社區(qū)中一種新的互動(dòng)形式。由于虛擬社區(qū)與現(xiàn)實(shí)社區(qū)存在不同特性,國(guó)內(nèi)外不少研究者都對(duì)BBS用戶行為進(jìn)行了相關(guān)研究。 目前對(duì)BBS用戶行為的研究主要集中在兩個(gè)方面：一是BBS用戶行為宏觀分析,即構(gòu)建BBS用戶回復(fù)網(wǎng)絡(luò),著重研究BBS用戶回復(fù)網(wǎng)絡(luò)的小世界特性和無標(biāo)度特性；二是BBS用戶行為微觀分析,通過分析用戶之間的微觀互動(dòng)行為,掌握BBS用戶行為的特征和用戶之間互動(dòng)形式。 本論文以新浪BBS論壇數(shù)據(jù)構(gòu)建的回復(fù)網(wǎng)絡(luò)為研究對(duì)象,利用復(fù)雜網(wǎng)絡(luò)理論分析BBS用戶回復(fù)網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)特性,研究BBS用戶回復(fù)網(wǎng)絡(luò)的小世界特性和無標(biāo)度特性。并通過定量分析BBS用戶行為,明確用戶在BBS社區(qū)中的作用及互動(dòng)行為特點(diǎn),對(duì)保障BBS社區(qū)健康發(fā)展有重要意義。 本文的研究?jī)?nèi)容如下： (1)根據(jù)用戶之間的回復(fù)關(guān)系構(gòu)建BBS用戶回復(fù)網(wǎng)絡(luò),利用pajek軟件實(shí)現(xiàn)回復(fù)網(wǎng)絡(luò)的可視化。基于復(fù)雜網(wǎng)絡(luò)的基本理論,根據(jù)聚類系數(shù)、平均路徑長(zhǎng)度、度分布指標(biāo)等特征參數(shù),研究BBS用戶回復(fù)網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)。 (2)定量分析BBS用戶行為,通過統(tǒng)計(jì)用戶發(fā)帖量和用戶ID量,發(fā)現(xiàn)用戶行為特征。 (3)選取BBS用戶發(fā)帖總數(shù)、發(fā)主題帖數(shù)、獲回帖數(shù)、用戶回帖數(shù)和發(fā)表主題帖被納入精華帖的總數(shù)作為描述用戶行為的分類指標(biāo),利用聚類算法實(shí)現(xiàn)BBS社區(qū)用戶的分類,根據(jù)分類結(jié)果將社區(qū)成員分為領(lǐng)袖型、回應(yīng)型、瀏覽型和實(shí)力型用戶,并根據(jù)成員相似度和成員關(guān)聯(lián)強(qiáng)度分析用戶的行為特征和交互特點(diǎn)。 (4)引入主題樹概念,利用樹形論壇的特殊結(jié)構(gòu)構(gòu)建用戶之間的回復(fù)關(guān)系,提出主題深度、主題廣度等參數(shù)描述用戶的互動(dòng)行為。分析主題廣度系數(shù)W和主題綜合深度系數(shù)D綜合評(píng)價(jià)主題的互動(dòng)情況,并根據(jù)互動(dòng)特征將用戶的互動(dòng)行為分為五類,對(duì)BBS社區(qū)信息管理起到積極的指導(dǎo)意義。
[Abstract]:With the rapid development of the Internet and Web2.0, there are many virtual spaces for people to communicate and communicate, such as blogs and Web2.0 forums. In BBS forums, users establish contact by posting and responding to each other. Because there are different characteristics between virtual community and real community, many researchers at home and abroad have done some research on BBS user behavior. At present, the research on BBS user behavior mainly focuses on two aspects: first, the macro analysis of BBS user behavior, that is, the construction of BBS user response network, focusing on the small-world and scale-free characteristics of BBS user response network; Secondly, the microcosmic analysis of BBS user behavior, through analyzing the microcosmic interaction behavior between users, grasps the characteristics of BBS user behavior and the interaction form between users. In this paper, we use the complex network theory to analyze the topology characteristics of BBS user response network, which is based on the data of Sina BBS forum. This paper studies the small-world and scale-free characteristics of BBS user response network, and through the quantitative analysis of BBS user behavior, clarifies the role and interactive behavior of users in BBS community, which is of great significance to ensure the healthy development of BBS community. The contents of this paper are as follows:. Based on the basic theory of complex network, based on the clustering coefficient, the average path length, the degree distribution index and other characteristic parameters, the BBS user response network is constructed according to the response relation between the users and the pajek software. The topology of BBS user response network is studied. Second, quantitative analysis of BBS user behavior, by counting the number of user posts and user ID, found the user behavior characteristics. 3) selecting the total number of BBS users' posts, the number of theme posts, the number of replies received, the total number of users' replies and the total number of posts published into the essence of posts as classification indicators to describe the user's behavior, and using clustering algorithm to realize the classification of users in BBS community. According to the classification results, the community members are divided into leadership type, response type, browsing type and strength type, and the behavior and interaction characteristics of users are analyzed according to the similarity of members and the intensity of association. (4) introducing the concept of theme tree, using the special structure of the tree forum to construct the response relationship between users, and putting forward the depth of the topic. The interactive behavior of users is described by such parameters as theme breadth, and the interaction of theme breadth coefficient W and theme comprehensive depth coefficient D is analyzed, and the user's interactive behavior is divided into five categories according to the interactive characteristics. BBS community information management plays a positive guiding significance.
【學(xué)位授予單位】：首都師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09;O157.5

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