共查询到20条相似文献，搜索用时 203 毫秒
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本文在对社会网络分析与健康传播结合的历史脉络进行梳理的基础上,提出了健康传播的社会网络分析框架:结构与功能分析。社会网络的结构分析聚焦行动者之间的关系和网络结构,功能分析阐述连接强度、位置等网络结构对健康信息扩散与行动者行为改变的影响。最后,从关系意识、意见领袖的评估以及健康文化培养讨论了社会网络分析如何应用于健康传播实践。 相似文献
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群体性事件背后的信息传播者、组织行动者之间结成什么样的社会网络关系?基于广东乌坎事件中98个节点的社会网络数据集,本研究结合实地调研,采取网络科学和社会网络分析方法,呈现乌坎事件中核心的传播者群像,揭示其内在的关系结构。采用"度中心性、介数中心性和特征向量中心性"三种测量方法,结果都指向同一个最具影响力的网络节点,同时用K壳分解法侦测发现42个节点的核心群组。乌坎事件之所以能够引起全世界关注,并最终得以妥善解决,与这样一个传播者群体有密切关系,这对于新闻传播研究者探索群体性事件演化过程的内在传播机制有一定启发价值。 相似文献
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图书馆联盟的社会网络资源配置 总被引：9，自引：0，他引：9
运用社会网络分析框架分析图书馆联盟,可以从社会网络资源配置的角度得出联盟存在的合理性、科学性。图书馆具有社会网络关系。图书馆联盟是发展结构空洞的有效途径。图 3。参考文献7。 相似文献
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本文通过对网络行动者在一系列公共事件中对新媒体使用情况的分析,试图探讨网络行动者在公共事件中借助不同新媒体开展线上线下行动时所表现出的特点及影响,从而考量网络行动者与媒介民主化的关系。 相似文献
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公众科学项目旨在借助群体智慧和大众参与来推动科学研究,实现科技创新和科学普及的有效结合。目前,国内外对公众科学项目运作过程中各行动者之间的关系网络及流程机理缺乏深入研究。本文借鉴行动者网络理论,采取开放式访谈的方法,对公众科学项目的运作机制进行实证探索。本研究邀请46名公众科学项目相关的参与者进行访谈,通过对访谈资料的分析,归纳出公众科学项目运作机制网络中所包含的行动者,根据行动者网络转译的四个步骤对公众科学运作过程进行分析,梳理各行动者之间的关系,并确定第三方管理机构为核心行动者。研究发现,公众科学项目运作过程中主要存在个体认知差异、任务设计困难、技术支撑不足、制度缺乏、协调困难和成本限制六个障碍,各行动者的收益主要包括声誉、自我提升和价值实现。针对所存在的问题,本文从招募培训、任务设计和数据管理三个层面对公众科学项目的运作机制提出了相关建议。图2。表3。参考文献36。 相似文献
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根据数字出版联盟成员之间交互式的资源流动关系,对成员在出版资源流动中的角色予以定义;采用社会网络分析(SNA)方法构建联盟内部资源流动的网络模型;论述成员单位对联盟内部资源的利用模式,即自行沟通的利用模式和通过联盟平台的利用模式。为降低成本和风险,提出基于数字出版平台沟通和基于网络购物平台进行交易的联盟运营机制,以提升各个出版单位在优质出版资源建设与贡献中的积极性,保障各出版单位的权利和利益。 相似文献
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微博客信息传播结构、路径及其影响因素分析 总被引：1，自引：0，他引：1
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借助社交网络分析工具,对在线社交媒体在网络舆情事件中的影响力进行量化刻画,并寻找社交网络分析中相关联的指标。基于成都A校食堂问题事件的微博转发数据,通过构建分层线性模型进行实证分析,研究这些指标与网络舆情事件影响力的相关性。在分析结果基础上,提出政府在当前在线社交媒体盛行的背景下有效应对网络舆情管理的对策建议。 相似文献
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[目的/意义]基于科学数据构建合作网络,并与传统出版物合作网络进行比较,从网络分析层面解读两个合作网络的差异,为科学数据管理工作提供借鉴。[方法/过程]以ClinicalTrials.gov网站的临床科学数据库为例,利用爬虫抓取该网站上传统论文题录信息以及临床试验信息的元数据并分别构建合作网络,通过复杂网络分析比较试验合作机构网络与论文合作机构网络之间的异同。[结果/结论]基于科学数据集和论文数据集的元数据构建的合作网络,与仅从论文数据集中提取元数据构建的网络相比,前者能够展现更丰富准确的合作信息,从而揭示科学数据管理和开放共享的重要性。 相似文献
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David H. Ostroff 《广播与电子媒介杂志》2013,57(3):367-380
This study examined the effects of television network affiliation switches that took place in the Miami market in January, 1989. Results indicate viewer loyalty to local news, especially early local news, although not necessarily to local stations, and probably little to network news. Network affiliation results in primetime audiences significantly larger than those of independent stations. The findings demonstrate that structural variables are stable and predictable indicators of audience behavior. 相似文献
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This article presents a study that compares detected structural communities in a coauthorship network to the socioacademic characteristics of the scholars that compose the network. The coauthorship network was created from the bibliographic record of a multi-institution, interdisciplinary research group focused on the study of sensor networks and wireless communication. Four different community detection algorithms were employed to assign a structural community to each scholar in the network: leading eigenvector, walktrap, edge betweenness and spinglass. Socioacademic characteristics were gathered from the scholars and include such information as their academic department, academic affiliation, country of origin, and academic position. A Pearson’s χ2test, with a simulated Monte Carlo, revealed that structural communities best represent groupings of individuals working in the same academic department and at the same institution. A generalization of this result suggests that, even in interdisciplinary, multi-institutional research groups, coauthorship is primarily driven by departmental and institutional affiliation. 相似文献
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《Journal of Informetrics》2023,17(1):101358
Extant studies suggest that the proximity between the researchers and their structural positioning in the collaboration network may influence productivity and performance in collaboration research. In this paper, we analyze the co-authorship networks of the three countries, viz. the USA, China, and India, constructed in consecutive non-overlapping 5-year long time windows from bibliometric data of research papers published in the past decade in the rapidly evolving area of Artificial Intelligence and Machine Learning (AI&ML). Our analysis relies on the observations ensued from a comparison of the statistical properties of the evolving networks. We consider macro-level network properties which describe the global characteristics, such as degree distribution, assortativity, and large-scale cohesion etc., as well as micro-level properties associated with the actors who have assumed central positions, defining a core in the network assembly with respect to closeness centrality measure. For the analysis of the core actors, who are well connected with a large number of other actors, we consider share of their affiliations with domestic institutes. We find dominant representation of domestic affiliations of the core actors for high productivity cases, such as China in the second time window and the USA in the first and second both. Our study, therefore, suggests that the domestic affiliation of the core actors, who could access network resources more efficiently than other actors, influences and catalyzes the collaborative research. 相似文献
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基于对应分析的用户与标签间偏好关系研究 总被引：1，自引：0，他引：1
［目的/意义］用户认知能够影响客观知识之间潜在的关联关系,研究Folksonomy模式中用户与标签之间的偏好关系有助于揭示认知与知识之间的互动关系及其模式规律,并为人文因素影响下的知识组织提供参考。［方法/过程］基于标签与用户的隶属关系构建“标签-用户”2-模网络,采用多变量的对应分析方法,基于联合空间距离位置对用户与标签间的偏好关系进行分析。［结果/结论］研究表明,用户与标签的偏好关系与联合空间中的位置和2-模网络的中心度具有相关性,在偏好问题上不会有群体极化现象发生,群体决策的科学性得以保障。 相似文献
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读者满意度是衡量图书馆工作质量的重要指标。本文从高校图书馆读者满意度评价的实际需求出发,采用集对分析联系数系统反映读者对图书馆服务水平的满意和不满意程度,提出了一种构造读者满意度联系数的新方法和基于集对分析的图书馆读者满意度多属性评价方法,该方法能够方便实现单项和多项测评项目的分析与评价。实例计算表明了该方法的有效性,为图书馆读者满意度的评价提供了一种新的有效评价途径。参考文献5。 相似文献
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This article reviews the research literature of three major journals in reference librarianship. The texts of 494 articles were analyzed and classified as research versus nonresearch. Articles such as news, commentary, book reviews, editorials, meeting announcements, and opinion pieces were excluded from the analysis. A total number of 162 (30.49%) articles were determined to be research articles and were examined to collect data on numerous variables including but not limited to authorship, affiliation, topic, type of research, data collection, and data analysis techniques. 相似文献
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ABSTRACTThis study examines the patterns of news engagement among news consumers with different political affiliation and cultural background. We use computational methods and data from Twitter in a cross-country comparison of engagement with six online news sources in Australia and South Korea. For our analysis, we used a subset of Twitter users who retweeted at least one political story during the period of collection, and for whom we were able to predict political affiliation using correspondence analysis and data on Twitter follower ties to politicians. We find that right-wing Australian retweeters are more intense in their news engagement, compared with their left-wing counterparts, whereas in South Korea it was the opposite. Australian right-wing political retweeters have more diverse information sources, while there was no difference in information diversity between the right and left in South Korea. We discuss how the political situation in South Korea at the time of data collection may have affected our analysis. We emphasise the methodological contributions of our research and its connection to on-going research into the behavioural foundations of ‘filter bubbles’. 相似文献
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[目的/意义]施引文献与被引文献往往存在着某种相似性,揭示这种现象背后的形成机制有助于深入理解引文的本质。[方法/过程]采用指数随机图模型,以图书馆与情报学领域为对象开展实证分析,旨在揭示文献相似性对引用关系的影响机制。[结果/结论]实证研究发现：在网络结构、机构、期刊层面存在显著的引用文献相似倾向。具体地,引用关系更倾向于嵌入三角传递结构;来源于相同机构和期刊的文献之间更容易产生引用关系;来源于学科优势地位国家的文献之间更容易产生引用。实证结果充分说明社会接近性是引用行为的重要形成机制,反映了引用偏好的社会属性。 相似文献
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美国大学图书馆领导层的妇女在经济收入和事业同等性两方面取得了令人瞩目的成就。促使她们成功的环境因素可以归纳为法律支持、反歧视行动、女性组织网络、职业联盟的指导与培训、行业的特点及其对女性领导的认识等. 相似文献
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Nicolás Robinson-Garcia Cassidy R. Sugimoto Dakota Murray Alfredo Yegros-Yegros Vincent Larivière Rodrigo Costas 《Journal of Informetrics》2019,13(1):50-63
This paper presents a methodological framework for developing scientific mobility indicators based on bibliometric data. We identify nearly 16 million individual authors from publications covered in the Web of Science for the 2008–2015 period. Based on the information provided across individuals’ publication records, we propose a general classification for analyzing scientific mobility using institutional affiliation changes. We distinguish between migrants--authors who have ruptures with their country of origin--and travelers--authors who gain additional affiliations while maintaining affiliation with their country of origin. We find that 3.7% of researchers who have published at least one paper over the period are mobile. Travelers represent 72.7% of all mobile scholars, but migrants have higher scientific impact. We apply this classification at the country level, expanding the classification to incorporate the directionality of scientists’ mobility (i.e., incoming and outgoing). We provide a brief analysis to highlight the utility of the proposed taxonomy to study scholarly mobility and discuss the implications for science policy. 相似文献