心理距离视角下网络舆情传播意愿影响因素研究   总被引：1，自引：1，他引：0  

张晓君  黄微  李瑞 《图书情报工作》2019,63(12):86-93

[目的/意义]网络舆情传播意愿的形成是网民的一种心理活动，与心理距离密不可分。了解影响网络舆情传播意愿的主要因素，有助于监督管控部门更加卓有成效地对网络舆情进行预警和治理。[方法/过程]通过对心理距离理论的深层次剖析，对其构成进行阐述，并从时间距离、空间距离、社会距离、概率4个维度出发，做出系列理论假设，利用调查问卷法和最优尺度回归分析法，识别出主要影响因素及其重要程度。[结果/结论]最终归纳出7个影响网民改变其自身传播意愿的主要因素，即报道时间、家乡相关、向往地相关、生活相关、亲戚朋友发布、媒体官方发布、企业官方发布，从这7个影响因素出发监控舆情，可以帮助舆情管控部门更有针对性地掌控舆情的传播方向。  相似文献   

No public value without a valued public     

Bettina Lis  Heinz-Werner Nienstedt  Christoph Günster 《媒体管理杂志》2018,20(1):25-50

This study aims to enlighten the controversial discussion about the term public value in an innovative way. Instead of normative pronouncements and paternalistic posits, this study combines a theoretical, literature-based conception with an empirical quantitative approach. For this, the key term, public value, is split into its constituent parts of customer value and citizen value and is transformed into measurable attributes. By means of a choice-based conjoint analysis on panel data for Germany and the United Kingdom, we explore which performance attributes of public service broadcasters are the most important. Based on the results, we create a conception of public value from the perspective of the license fee payers as the main stakeholder of public service broadcasters. Our findings may unlock existing potential to increase our understanding of what is meant by the term public value.  相似文献   

基于平昌冬奥会赛况及主场优势对我国雪车和钢架雪车发展的启示          下载免费PDF全文

武林志  唐琨  段玉丞 《体育科研》2019,(3):15-19

通过分析平昌冬奥会雪车和钢架雪车的赛况及主场优势，探索雪车和钢架雪车的发展规律，力求为我国雪车和钢架雪车项目的发展提供借鉴和参考。收集整理雪车和钢架雪车项目基本信息、平昌冬奥会赛况、获奖运动员信息及主场优势。研究发现：平昌冬奥会雪车和钢架雪车项目获奖运动员身材高大、年龄偏高；雪车和钢架雪车项目运动员跨界、跨项比例非常高；初学雪车和钢架雪车的年龄与运动成绩无直接联系，有丰富运动经历、运动水平较高、年龄略小（20岁以下）的其他项目运动员（田径）可转雪车和钢架雪车，且运动成绩提升速度快，通常在训练两年后，可达世界高级水平；雪车和钢架雪车训练和比赛的赛道极其稀缺，有限的赛道集中在东道主国家，这些国家的运动员较其他国家运动员有更多的时间熟悉赛道，这可能在一定程度上增加获胜的几率。  相似文献   

Scapular motion adaptations in junior overhead athletes: a three-dimensional kinematic analysis in tennis players and non-overhead athletes     

Elif Turgut  Filiz Fatma Colakoglu  Gul Baltaci 《Sports biomechanics / International Society of Biomechanics in Sports》2019,18(3):308-316

Adult overhead athletes without a history of shoulder injury show scapular adaptations. There is a lack of detailed assessment of scapular kinematics in junior overhead athletes. This study aims to investigate three-dimensional scapular kinematics in junior overhead athletes. We recruited a total of 20 junior tennis players and 20 healthy children without participation in any overhead sports in this study. Bilateral scapular kinematic data were recorded using an electromagnetic tracking device for scapular plane glenohumeral elevation. The data were further analysed at 30°, 45°, 60°, 90° and 120° during glenohumeral elevation and lowering. Statistical comparisons of the data between groups (junior overhead athletes and non-overhead athletes) and sides (serve dominant and non-dominant shoulders of the overhead athletes) were analysed with the ANOVA. Comparisons showed that, in general, the scapula was more upwardly rotated and anteriorly tilted in overhead athletes when compared to non-overhead athletes, however there was no side-to-side differences when serve dominant and non-dominant shoulders compared in junior overhead athletes. The serve dominant arm of junior overhead athletes had alternations in scapular kinematics when compared with the non-overhead athletes. These findings provide clinical evaluation implications and the need for clinicians to assess for potential adaptations in junior overhead athletes.  相似文献   

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis     

Kai Hu  Qing Luo  Kunlun Qi  Siluo Yang  Jin Mao  Xiaokang Fu  Jie Zheng  Huayi Wu  Ya Guo  Qibing Zhu 《Information processing & management》2019,56(4):1185-1203

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.  相似文献   

Comparing cumulative index and factor analytic approaches to measuring maltreatment in the National Longitudinal Study of Adolescent to Adult Health     

《Child abuse & neglect》2019

Child maltreatment is a complex and multifaceted construct in need of advanced statistical techniques to improve its measurement. The current study compared the predictive utility of a cumulative index to a factor analytic approach for constructing a measure of maltreatment. Data were from Waves III and IV of the National Longitudinal Study of Adolescent to Adult Health (Wave III: n = 14,800; Wave IV: n = 12,288). As adults, participants retrospectively reported on their childhood experiences of physical abuse, sexual abuse, emotional abuse, physical neglect, supervisory neglect, and social services investigations. Both the cumulative index and a two-factor solution showed evidence of convergent validity, predicting lifetime incidence of homelessness, being paid for sex, and various measures of running away or living apart from biological parents, and prospectively predicting depression, substance use, and criminal behavior. The latent variables, derived from a factor analytic approach, had greater explanatory power for many outcomes compared to the cumulative index, even when controlling for sociodemographic variables. Results suggest that factor analysis is a better methodology than a cumulative index for measuring maltreatment in large datasets when explanatory power for external outcomes is of greatest concern.  相似文献   

2019年篮联世界杯广州赛区小组赛对中国队的启示     

崔曼峰  赵毅砥 《广州体育学院学报》2020,(1):82-85

2019年国际篮联篮球世界杯在中国圆满举行,广州作为分赛场,承接了西班牙、波多黎各、突尼斯以及伊朗四支代表队的小组比赛6场。通过对广州赛区四支队伍在小组赛中的表现技术进行分析,并对比中国队在本次赛事中的表现,发现中国男篮在备赛与参赛阶段,存在大赛目标不清晰,心理训练与细节训练不足,教练团队执教水平不稳定,篮球基本功不扎实等一系列问题,反映出我国篮球的发展正处于困境。系统地分析广州小组赛中四支队伍的赛况,并与中国队做出对比,有针对性地提出建议,为中国篮球的发展提供参考。  相似文献   

中外情报学论文创新性特征研究   总被引：1，自引：0，他引：1  

曹树金  闫欣阳  张倩  卓伊玲 《图书情报工作》2020,64(1):80-92

[目的/意义] 综合运用定性与定量相结合的方法对近年中外情报学论文的创新性进行分析和对比，揭示情报学领域研究的创新性特征，发现领域学术论文中创新句内部的知识关系，进行更细粒度的论文创新性分析，为研究领域创新点深层次利用提供条件，同时丰富科技论文创新性监测的途径，促进科学研究创新。[方法/过程] 从句子级创新性识别出发，选取中英文各两种情报学期刊作为样本，采用信息抽取和机器学习的方法，将创新句的抽取从现有的摘要扩展到全文，充分利用句子结构和句法特征识别领域创新内容，探讨近年中外情报学论文在创新对象、主题、类别等方面的特征，并做对比分析，最后通过对自动分类的论文集合进行定性的内容分析，总结归纳出中外情报学论文创新的表达范式。[结果/结论] 从创新的表达来看，中外情报学论文创新句的分布情况基本一致，英文期刊论文创新的表达更丰富。从创新性特征来看，英文情报学期刊论文创新主题较集中，而中文主题多样和分散；具体方法的创新是近年情报学领域的创新热点，而在研究方法上创新不足；中英文情报学期刊论文的创新性特点都反映了应用研究、实证研究的成果较多，而理论创新推动缓慢的趋势。  相似文献   

基于深度学习的中文专利自动分类方法研究   总被引：2，自引：0，他引：2  

吕璐成  韩涛  周健  赵亚娟 《图书情报工作》2020,64(10):75-85

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。  相似文献   

我国体育产业政策变迁:进程、逻辑及演变趋势     

徐成立  张宝雷  张月蕾  田静  陈元欣  周祖宝 《武汉体育学院学报》2020,54(3):45-53

根据政策分析研究的理论范式,通过共词分析法、聚类分析法等研究方法,分析1978—2018年国家层面的172份体育产业政策变迁的历史进程、逻辑和未来发展趋势。研究认为,我国体育产业政策历经改革开放期(1978—1992年)、积极探索期(1993—2001年)、相对停滞期(2002—2009年)、战略发展期(2010—2018年)四个阶段,并呈现阶段性特点。进而总结出我国体育产业政策变迁的历史逻辑(1)政策理念从“政府管理”到“协同治理”理念的转变;(2)政策主体从政府的“一元主体”到“多元主体”的转变;(3)政策过程从“事前控制”到“全过程”的监管;(4)政策工具从“单一运用”到“综合运用”的转变。在此基础上,提出我国体育产业政策的演变趋势(1)继续深化多元协同治理理念;(2)进一步完善政策主体多元协同机制;(3)重点强调政策过程的全过程监管;(4)提高政策工具的合理运用。  相似文献