本文選題：學術圖書評價　切入點：網(wǎng)絡數(shù)據(jù)　出處：《南京大學》2013年碩士論文　論文類型：學位論文

【摘要】：當前學術圖書是傳承學術思想的重要載體。對于學術界來說,學術圖書是學術交流系統(tǒng)的重要組成部分。因此對學術圖書的評價工作對于學術研究的參考引用、著者評價和學科知識傳承具有相當重要的現(xiàn)實意義。而目前對學術圖書的評價方法與期刊評價類似,主要以定性和定量方法相結合進行評價。定性分析主要采用專家評審；定量方法目前還主要是利用與期刊評價、論文評價相同的方法來進行評價,主要依靠一些傳統(tǒng)的評價指標,如借閱量、被引量等指標,因而一本圖書的質(zhì)量主要通過其在引文網(wǎng)絡中的地位和銷售數(shù)據(jù)等來反映,這顯然并沒有全面的反映學術圖書的質(zhì)量。 另一方面,互聯(lián)網(wǎng)的發(fā)展使得網(wǎng)絡中擁有海量的各類數(shù)據(jù),以前囿于數(shù)據(jù)的不可獲取性,我們只能借助于少量的數(shù)據(jù)進行評價工作,現(xiàn)在互聯(lián)網(wǎng)的快速發(fā)展,尤其大數(shù)據(jù)時代的到來,讓我們得以在數(shù)據(jù)來源和信息技術兩方面取得突破性進展,這也意味著我們需要在科研思路上發(fā)生重要的思維變革,以更好的抓住時代發(fā)展脈絡,以更先進、更科學的方法進行學術評價工作。當前,用戶對學術圖書的評論等很多都發(fā)生在網(wǎng)絡中,這些數(shù)據(jù)在學術圖書的評價上大有可為。而如何利用這些散落在互聯(lián)網(wǎng)中的數(shù)據(jù)并設計相應的評價指標將是本文的研究重點。 本文的研究工作主要包括以下幾個章節(jié)： 第一章,緒論。本章闡述了本文的研究背景和意義、研究內(nèi)容與本文的創(chuàng)新點,以及本文的組織結構。 第二章,文獻綜述。本章首先對現(xiàn)有的學術圖書評價指標進行了歸納總結,詳細闡述了評價指標的設計原則及具體的指標內(nèi)容。接著,對現(xiàn)有的學術圖書評價研究方法進行歸納和總結,詳細介紹了不同方法的應用場景和各自的優(yōu)勢與劣勢。 第三章,學術圖書評價網(wǎng)絡數(shù)據(jù)來源。本章從兩個方面對本文的研究進行了數(shù)據(jù)的準備與描述。首先選取了四個學科在CSSCI中被引次數(shù)最高的若干學術圖書作為本文的研究樣本,其次,詳細介紹了目前互聯(lián)網(wǎng)中主要的圖書書評來源網(wǎng)站,對各類型網(wǎng)站進行了詳細介紹,并著重闡述了網(wǎng)絡數(shù)據(jù)可用于學術圖書評價的原因和意義。 第四章,基于Google Scholar引文數(shù)據(jù)的學術圖書評價。Google Scholar引用數(shù)據(jù)反映了學術圖書在學術圈內(nèi)的影響,本章基于Google Scholar引用數(shù)據(jù)提出了一組評價指標,包括Goolge Scholar引用次數(shù)、Goolge Scholar二級引用次數(shù)和Goolge Scholar被引半衰期三個指標,并通過與傳統(tǒng)CSSCI被引次數(shù)指標的相關性分析證明了新指標的合理性。 第五章,基于搜索引擎日志的學術圖書評價。搜索引擎是互聯(lián)網(wǎng)最大的流量入口,用戶在搜索引擎中的搜索行為反映了學術圖書的網(wǎng)絡影響力。本章基于搜索引擎的日志數(shù)據(jù)提出了一組指標,包括圖書被搜索次數(shù)、圖書搜索被點擊次數(shù)和圖書被頁面提及次數(shù)三個指標,并通過必應搜索引擎的日志收集指標數(shù)據(jù),利用其與傳統(tǒng)的圖書館借閱次數(shù)指標的相關性分析證明了新指標的合理性。 第六章,基于情感挖掘技術的網(wǎng)絡評論文本的情感分析評價指標。隨著Web2.0的興起,互聯(lián)網(wǎng)中散落著許多用戶對學術圖書的評論,這些評論蘊含著用戶的情感傾向,本章在前人研究基礎上提出了一種新的基于文本分類的情感挖掘算法。并利用該算法對豆瓣,當當?shù)染W(wǎng)站的評論、書評進行情感傾向性判斷,這些情感傾向反映了學術圖書的網(wǎng)絡口碑,進而反映了圖書質(zhì)量。 第七章,基于網(wǎng)絡數(shù)據(jù)的學術圖書評價體系與系統(tǒng)架構設計。本章結合傳統(tǒng)指標和本文提出的基于網(wǎng)絡數(shù)據(jù)的指標提出了一個學術圖書評價的指標體系,將指標分為引用型指標,傳播型指標,影響力指標和口碑指標四個方面。并設計了一個學術圖書的自動化評價系統(tǒng)架構,詳細設計了功能模塊和技術細節(jié)。 第八章,結語。本章在前文的基礎上總結了本論文的主要結論,并指出了其中存在的不足,為下一步研究工作指明了方向。
[Abstract]:The current academic book is an important carrier of inheriting the academic thoughts. In the academic circles, the academic library is an important part of the scholarly communication system. So the evaluation of academic library work of academic research for reference, has very important practical significance, evaluation and knowledge inheritance. And at present the method of evaluation of academic books and journals the evaluation of similar, mainly by qualitative and quantitative method of combining evaluation. Qualitative analysis mainly adopts expert evaluation; quantitative method is mainly evaluated by the evaluation and periodical, the same method to evaluate, mainly rely on the traditional evaluation indexes, such as loan amount, index citation amount, so the quality of the the book mainly through its citation network and the status of the sales data to reflect the quality of this apparently does not fully reflect the academic books.
On the other hand, the development of the Internet makes all kinds of data in the network has a massive, previously not limited by data availability, to evaluate the work in a small amount of data we can only by now, the rapid development of the Internet, especially in the era of big data, so that we can make a breakthrough in two aspects of data sources and information technology and this also means that we need to have the important change of thinking in scientific research, in order to better grasp the era of development, to more advanced, more scientific methods for evaluation of academic work. At present, users of academic book reviews are occurring in the network, these data have a brilliant future in the evaluation of academic books. And how to use these scattered in the Internet data and design the corresponding evaluation index will be the focus of this article.
The research work of this paper mainly includes the following chapters:
The first chapter, introduction. This chapter describes the background and significance of this study, the content of the research and the innovation of this article, as well as the organizational structure of this article.
The second chapter, literature review. The first chapter of academic books of the existing evaluation index were summarized, elaborated the design principle of evaluation index and specific index. Then, the study of academic books existing evaluation methods and summarized, introduces the application scenarios of different methods and their advantages and disadvantages.
The third chapter, the academic book evaluation network data source. This chapter of this paper from the two aspects of the preparation and description data. First selects four subjects in CSSCI cited several academic books of the highest frequency as the research sample, this paper then introduced the main source of Internet book review for all types of Web sites, is introduced in detail, and focuses on the network data can be used to reason and significance of academic book evaluation.
The fourth chapter, the Scholar.Google Google Scholar Academic Book Evaluation citation data reference data reflects the influence of academic books in academic circles based on this chapter Google Scholar reference data is proposed based on a set of evaluation indicators, including the Goolge Scholar Goolge Scholar two citations, citations and Goolge Scholar cited half-life of three indicators, and through the correlation analysis and the traditional CSSCI index was cited to prove the rationality of the new index.
The fifth chapter, the academic library evaluation of search engine based on log. The search engine is the biggest Internet traffic entrance, user search behavior in the search engine in the network reflects the influence of academic books. This chapter log data search engine is proposed based on a set of indicators, including books by the number of search, book search by clicks and books the page was referred to the number of the three indicators, and through the Bing search engine log collect index data, using the traditional library and the number of indicators related analysis proves the rationality of the new index.
The sixth chapter, the network review text sentiment mining sentiment analysis based on the evaluation index. With the rise of Web2.0, the Internet is littered with many users comment on the academic books, these comments contain user sentiment, this chapter on the basis of previous studies proposed a mining algorithm based on new text classification emotional. Using the algorithm of watercress, Dangdang and other website reviews, book reviews of sentiment analysis, which reflects the emotional tendency of academic books and online word-of-mouth, reflects the quality of books.
The seventh chapter, the academic library network data evaluation system and system based on architecture design. This chapter combines the traditional index and the proposed network data index is proposed based on an index system of academic library evaluation, the index is divided into reference index, spread index, influence four aspects of force index and reputation index. And the design of the automatic evaluation system framework for an academic book, the detailed design of the function module and technical details.
The eighth chapter is the conclusion. This chapter summarizes the main conclusions of this paper on the basis of the foregoing, and points out the shortcomings, pointing out the direction for further research.

【學位授予單位】：南京大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：G353.1

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本文編號：1621241