中国在国际科技合作网络中的角色和地位演变——基于2000-2015年国际专利合作数据的实证研究     

李文娟  朱春奎 《科技管理研究》2019,39(3)

为了分析中国在国际科技合作网络中的角色和地位变化,文章以世界40个国家2001—2015年的国际专利合作数据为分析对象,并运用社会网络分析方法进行了分析。分析结果表明,过去十五年间,中国在国际科技合作网络中的地位和角色发生了显著变化。中国的合作对象从欧美向亚洲扩展,合作格局由“中-欧美日”向“中-欧美亚”转变;合作网络中,美、英、日、法、德等始终处于中心位置,土耳其、冰岛、韩国等始终位于边缘位置;个体网络规模持续扩大,网络连接数继续增加,核心“朋友圈”遍布网络;中国的核心度排名逐渐上升,且处于结构洞的关键位置,掌握资源和连接资源的能力逐步增强。  相似文献   

社交媒体倦怠:含义、前因及后果     

代宝  罗蕊  续杨晓雪 《现代情报》2019,39(9):142-150

[目的/意义]把握国内外关于社交媒体倦怠的研究现状和发现可能的研究机会。[方法/过程]从社交媒体倦怠的含义、前因和后果三方面对相关文献予以系统分析。[结果/结论]社交媒体倦怠主要从情感体验、行为表现和两者的综合3个视角来定义;社交媒体倦怠的前因主要包括社交媒体相关因素（系统特征因素、信息特征因素）和用户相关因素（心理性因素、行为性因素和社会性因素）;社交媒体倦怠的后果主要表现为影响用户的心理（不满意等）和行为（社交媒体不持续使用/转移行为、消极使用行为等）。  相似文献   

学术期刊共媒体云与自媒体库互动融合的构想     

郭晓亮  吉海涛  郭雨梅  张璐 《中国科技期刊研究》2019,30(2):161-168

【目的】 结合新时代对学术期刊发展提出的新要求,探讨学术期刊媒体融合的宏观架构设计和有效路径。【方法】 采用文献法明确当前研究的趋势和不足;采用访谈法了解学术期刊四大利益主体的特征、需求及学术期刊媒体融合面临的问题;采用实地调查法明确学术期刊媒体融合的现状与需求,并提出新的媒体融合模式。【结果】 创造性地提出“共媒体云+自媒体库”的互动融合模式,根据学术期刊准产业化运营的整体构想,着眼于学术期刊核心竞争力整合学术内容生产的核心环节,联结四大利益主体,通过相辅相成、互动提高的运行机制促进学术期刊的共生发展。【结论】 “共媒体云+自媒体库”互动融合打破期刊层面和个体层面的传统壁垒,加强两者间的知识共享与互动反馈,突显并强化各自的优势：共媒体云能突显学术期刊的核心业务,兼容多种媒体形态,有利于学术期刊核心竞争力的提升,实现可持续发展;自媒体库有利于促进学术期刊及相关利益主体的有效互动,拓展稿件来源和传播渠道,从源头上提升学术内容生产水平,实现学术利益共同体的互促共赢。  相似文献   

全球媒体语境下广州城市形象的传播与建构     

王大可  李本乾 《中国名城》2020,(5):93-98

城市形象是城市竞争力的重要组成部分。依托全球媒体有关广州的报道,对广州城市形象的全球媒体影响力开展实证分析,并从强化政府主导、畅通参与渠道;融入国家战略、提升传播层级;推进科技创新、塑造崭新形象;发展数字产业、夯实传播基础;布局未来传播、增强舆论引导等方面构建提出了增强广州城市形象全球传播能力的对策建议。  相似文献   

校企(地)联合培养社会体育指导与管理专业应用型人才的创新研究——以残疾人运动与康复方向为例     

程晖  董璧 《当代体育科技》2020,(1):159-160,162

针对社会体育指导与管理专业学生就业渠道不畅、市场前景萎缩的现状,通过构建校企(地)联合培养的社会体育指导与管理专业人才培养模式,打造残疾人运动与康复服务的专业小方向,重新构建专业人才培养目标定位、以市场为导向的课程体系和结合人才培养对接的实习、实训课程体系,为推动社会体育指导与管理专业培养模式和方向的转型与发展提供重要理论指导和借鉴。  相似文献   

Applying user analytics to uses and effects of social media in China     

Jonathan J. H. Zhu  Yixin Zhou  Lu Guan  Lei Hou  Anqi Shen  Heng Lu 《亚洲交流杂志》2019,29(3):291-306

ABSTRACT

We introduce what user analytics can do in the first half of the paper and then illustrate how to do user analytics in the second half. In the current context, user analytics refers to a set of diverse communication research methods on uses and effects of social media. User analytics has evolved from TV ratings research to online user research. The history illustrates what data sources, measures, and analyses can be used for what types of research questions under user analytics. We discuss the similarities of and differences between user analytics and other methods of computational communication research (e.g. content mining and online experiments), and compare the strengths and weaknesses of user analytics with traditional quantitative methods (e.g. survey). Finally, we present an application study of Chinese bloggers to demonstrate how to employ user analytics methods to study the production, consumption, and effects of user-generated content.  相似文献   

Making American Friends: The Effects of Musical Tastes and English Proficiency on Chinese International Students’ Social Networks in the United States     

Fei Jia  Emmanuel Koku 《Journal of Intercultural Communication Research》2019,48(1):4-20

This study investigated the relationship between Chinese international students’ social networks in the United States and their musical tastes. Based on concept of homophily, this study used a self-reported Social Network Analysis (SNA) survey to examine whether sharing similar musical tastes affected Chinese international students’ relationship, their musical tastes, and music consumption. The results showed that having high musical taste similarity predicted closer relationship between respondents and their alters, and higher likelihood of new music consumption. This study also found that frequent American English-language songs listeners were more likely to have Americans in their social network than less-frequent American English-language songs listeners.  相似文献   

Combining different evaluation systems on social media for measuring user satisfaction     

Simona Balbi  Michelangelo Misuraca  Germana Scepi 《Information processing & management》2018,54(4):674-685

Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.  相似文献   

用户动机视角下的Altmetrics指标研究     

刘晓娟  王晨琳 《图书情报知识》2020,(3):63-70,96

[目的/意义]从用户动机视角对Altmetrics指标的本质和价值进行分析,使Altmetrics的应用更为科学合理。[研究设计/方法]首先对相关文献中的动机进行组织提炼与规范化表述。在此基础上引入用户行为理论解释和分析用户动机体现的指标价值。再选取Twitter提及量指标,使用内容分析法进行案例研究。[结论/发现]提炼出19种用户动机,其中有6种动机会降低指标应用价值。[创新/价值]探索Altmetrics数据的产生机制,在一定程度上回答了Altmetrics指标可用性问题。  相似文献   

Ghost writer in the machine: the politics of determining the machinic/expressive functions of software     

Daniel M. Sutko 《传播与批判/文化研究》2018,15(1):18-34

  相似文献