图书馆Apache服务器日志文件数据的分析

按照标准的服务器日志格式，对图书馆Web服务器日志文件的记录进行分析，并通过对其一定时间段的数据挖掘，对图书馆网站的使用状况进行了有益的探讨。     

Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics

This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.     

Assessing library topics using sentiment analysis in R: a discussion and code sample

Abstract

This article discusses the use of R programing language for executing a sentiment analysis of tweets pertaining to library topics. This discussion is situated within the literature of marketing and management sciences, which is employing methods of machine learning and business intelligence to make informed decision-making, and library administration, which has expressed great interest in social media engagement within its literature but has yet to adopt these types of analysis. Presented in this article is a sample code with instructions on how users may execute it within R to retrieve and analyze tweets relevant to library services. Two examples created using the code (analysis of top librarians’ tweets and analysis of posts about major book publishers) are used to demonstrate the functionality of the code. The code presented in this article may be used by libraries to analyze tweets about their library and library-related topics, which, in turn, may inform management and marketing design.     

Gender ratios at top PhD programs in economics

Analyzing university faculty and graduate students data for ten of the top U.S. economics departments between 1987 and 2007, we find persistent differences in the gender compositions of both faculty and graduate students across departments. There is a positive correlation between the share of female faculty and the share of women in the PhD class graduating six years later. Using instrumental variable analysis, we find robust evidence that this relation is causal. These results contribute to our understanding of the persistent under-representation of women in economics, as well as for the persistent segregation of women in the labor force.     

The influence of heterogeneous exposure and pre-deliberation queries on pretrial publicity effects

Prior research on pretrial publicity has produced mixed results and a roughly equal number of studies show an effect, show no effect, or show mixed results. We explored the effects of (a) homogenous vs. heterogeneous exposure (whether deliberating jurors were all exposed to the same publicity or not) and (b) pre-deliberation queries as potential contributors to mixed results. We found an effect for positive but not negative publicity on conviction rates but not evidence ratings. Exposure heterogeneity appears to explain these differences and pre-deliberation queries did appear to play some role in the obtained outcomes. Overall these findings do not replicate a robust publicity effect and future research should consider how homogeneous exposure and pre-deliberation opinion queries influence results.     

数据治理——图书馆事业的发展机遇

数据驱动发现成为一种新的科学进步路线,产生了新的知识服务对象:愈加重视数据的科学家和工程师、数据科学家、数据工程师、数据分析师、公民科学家等。数据获取需要依靠国家的行政命令、资助机构的政策、研究机构和大学的管理办法等。数据共享存在于不同学科,而且已具备了基础设施,诸如:数据中心、数据云、数据知识库与数据期刊、信息技术中心、数字资源中心等。数据重用需要公共部门、企业、公众、利益相关方在“尽可能地开放,尽责任地封闭”前提下,采取协调一致的行动。在这里,数据馆员扮演重要角色。数据治理生态体系需要图书馆执行数据获取、数据共享、数据重用的政策。通过不断寻找和搜集最佳实践案例,图书馆可以支持数据治理。参考文献79。     

面向数字人文研究的大规模古籍文本可视化分析与挖掘

传统的古籍开发与应用模式已难以适应人文学科研究的需要,人文学科研究者期待一个技术逻辑和人文逻辑相耦合的数字人文研究范式的出现。本文从古籍文献深层次开发与利用出发,利用新的信息技术与面向数字人文研究跨学科方法,以大规模中国古籍文本为研究对象,采用大数据研究理念,对古籍进行整理、标注、自动分词等处理,以词频分析统计为研究核心,采用数据降噪、基于窗口时间单位的统计分析计算、滑动窗口预测等分析与挖掘方法,采用大数据实时分析技术,实现了实时、在线、立体、可视化、定量分析字词的历史词频分布规律,创建了一个以语言学、历史文献学、历史地理学等人文学科研究为主的古籍实时统计分析平台,可辅助研究者在大量的古籍文献中发现新的模式、现象、趋势等,实现古籍开发与应用模式创新的初步尝试。图11。参考文献36。     

基于图书馆数据的出版经营策略探析--以上海图书馆为例

以具有全国最大业务量的上海图书馆联合体累积的图书流通数据、读者个人数据、年度阅读数据、即时数据为例,论述如何利用这些从海量信息中提炼的数据,以给出版社的选题开发、信息推送、阅读推广、图书营销提供重要参考。文章最后探讨出版社在利用图书馆数据时需要突破的瓶颈。     

Momentum sequence and environmental climate influence levels of perceived psychological momentum within a sport competition

The present study examined the influence of momentum sequence (positive vs. negative) and environmental climate (hot–wet vs. neutral) on supporters’ (i.e. virtual observers’) reported levels of perceived psychological momentum (PM) during a simulated cycling competition. Participants supported one of two competing cyclists involved in a race that was displayed on a screen in a lecture hall. The race scenario was manipulated so that the supported cyclist appeared to undergo either a positive or negative momentum sequence. In addition, participants were either exposed to a hot–wet environmental climate or to a neutral environmental climate while observing the race scenario. According to the results, reported levels of PM were higher in the positive momentum sequence condition than in the negative momentum sequence condition, consistent with the notion that supporters’ PM is influenced by a positivity bias, and reported levels of PM were also found to be higher in the hot–wet climate condition than in the neutral climate condition, consistent with the notion that environmental climate is a contextual factor that influences PM through the operation of a causal augmenting mechanism.