共查询到20条相似文献，搜索用时 62 毫秒
1.
Hyunjin Song 《Communication methods and measures》2018,12(1):1-24
The substantial increase in nested data such as egocentric network data pose unique challenges to researchers, including how to adequately model the mechanisms and processes in which hypothesized effects operates within the complex interdependencies among social actors. While there is a growing interest in identifying the causal mechanisms and their contingencies using such nested structured data, the direct application of principles of (moderated) mediation analysis within traditional multilevel modeling framework is ambiguous and controversial. In this article, I provide a tutorial illustrating an approach to assessing mediation hypotheses based on path-analytic framework popularized by Hayes (2013). Focusing on estimation and inference of indirect effects with regard to nested data structure, I provide examples of the analysis within the context of egocentric network data, and illustrate implementation using Mplus software. 相似文献
2.
Deen Freelon 《广播与电子媒介杂志》2013,57(1):59-75
The widespread availability of analytical tools for Big Data offers enormous opportunities and challenges for communication researchers. In contrast to user-generated texts, digital trace data (evidence of online user activities such as hyperlinks and retweets) represent a new methodological frontier for the field. However, interpretive strategies remain scattered and ad hoc with few best practices to guide them. To help remedy this situation, this article reviews recent scholarship in both communication and social computing research that has incorporated three common types of trace data: hyperlinks, Twitter followers, and retweets. It finds that while researchers in both fields have interpreted each trace in a variety of ways, they have largely declined to explain the validity of their interpretations. 相似文献
3.
Bibliometric data indexed through the Institute for Scientific Information were analyzed for 45 communication journals. Several measures were included to identify the most widely cited journals in the field, including (a) journal impact factor, (b) five-year journal impact, (c) article influence, and (d) journal relatedness. Results serve to expand on findings by Feeley (2008) with respect to overall and within-field influence of communication journals whose analysis covered 2002 through 2005 and 19 journals. Results indicate stability in journal impact ratings over time and several journals (e.g., Communication Research, Human Communication Research, Journal of Communication, Communication Monographs, and Communication Theory) are highly central in the communication journal citation network. 相似文献
4.
《Communication methods and measures》2013,7(1):26-47
In recent decades, social network researchers have focused on analyzing networks of formal relationships (e.g., friendships). However, this work has yet to be applied to distributions of participation in small groups. This article provides an application of social network analysis to small group interaction and illustrates the approach through the analysis of 54 team meetings in two medium-sized German companies from the electrical and automotive supply industries (N?=?332). Within a group interaction process, individual actions affect subsequent behavior, and their interactions shape a network when group members respond to previous actions. Their responses can be understood as network ties. We describe how to calculate centralization for all forms of small group interactions, and contribute to network research by providing insights into the interaction structure of team meetings. Multilevel analyses show that a group-level measure of centralization has a significant negative effect on team performance, whereas individual participation has no such effect. Implications for future research on interaction data via social network analysis are discussed. 相似文献
5.
分析高校科研人员社交网络学术信息交流行为影响因素,有助于提高高校科研人员社交网络学术信息交流行为活跃度,拓宽群体知识面,实现组织内部工作模式创新。文章首先借鉴卢因行为理论构建高校科研人员社交网络学术信息交流行为影响因素模型,结合理性行为理论、顾客感知价值理论等提出八个假设,并采用问卷调查方法收集数据;然后对测量指标进行信度和效度检验,借助结构方程模型分析影响因素并验证假设;最后根据分析结论提出相应建议。通过分析得出行为意向、机会和激励对学术信息交流行为具有正向影响,并从学术社交平台建设、组织内部支持、加强个体学术信息交流意识等方面提出建议。 相似文献
6.
Political communication researchers have shown that social network site (SNS) use and online network characteristics can impinge on people’s political attitudes and behavior. Nevertheless, individual SNSs have varying site architecture, basic design features, and functionalities, which may influence usage and online network characteristics. This study thus examines whether site architecture matters for understanding the political implications of SNSs. Specifically, this article conceptualizes the distinction between public-oriented and private-oriented SNSs. It contends that the two types of SNSs would have varying impact on political behavior through the kinds of online networks that they tend to sustain. Analysis of a survey of university students in Guangzhou, China (N?=?897), shows that respondents using public-oriented SNSs tended to have a relatively more ‘public’ online network – larger, involving more strangers, and with more connections to public actors. Some of these network characteristics in turn affected political discussion behavior. The analysis thus demonstrates how SNS architecture can indirectly impinge on individual-level political outcomes. 相似文献
7.
Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC
Kang Namkoong Dhavan V. Shah Bryan McLaughlin Ming-Yuan Chih Tae Joon Moon Shawnika Hull 《Communication methods and measures》2017,11(3):153-172
This article presents an innovative methodology to study computer-mediated communication (CMC), which allows analysis of the multi-layered effects of online expression and reception. The methodology is demonstrated by combining the following three data sets collected from a widely tested eHealth system, the Comprehensive Health Enhancement Support System (CHESS): (1) a flexible and precise computer-aided content analysis; (2) a record of individual message posting and reading; and (3) longitudinal survey data. Further, this article discusses how the resulting data can be applied to online social network analysis and demonstrates how to construct two distinct types of online social networks—open and targeted communication networks—for different types of content embedded in social networks. 相似文献
8.
《Communication methods and measures》2013,7(4):223-244
In this article, we argue for the usefulness of relational event network analysis to study online communication networks. Unlike other network analytic techniques that require online communication data to be summarized prior to analysis, relational event network analysis uses un-summarized time-stamped data to track the dynamic evolution of communication networks. To illustrate, we use relational event network analysis to analyze the evolution of a communication network within the virtual world Second Life. Results suggest that there are different patterns of communication among nonfriends and friends within the network. Nonfriends tend to communicate with those they have communicated with in the past, reciprocate communication, and close communication triads. Friends tend not to communicate with those they have communicated with in the past, instead preferring to reciprocate communication and close triads. We discuss implications for the study of online communication and identify directions for future research using relational event network analysis. 相似文献
9.
Web2.0时代博客、轻博与微博的比较研究 总被引：2，自引：0，他引：2
在Web2.0时代,博客、微博和轻博作为当前流行的网络大众信息传播工具、新的信息组织和发布方式,对社交方式产生了巨大的影响。文章通过对博客、轻博和微博三种网络社交模式的简要介绍,从界面、核心价值、关注重点、用户群体、盈利模式、交互方式六个方面对三种模式进行比较,最后指出在具体应用这三种网络模式中应解决的问题并给出建议。 相似文献
10.
创造"共享、重组、再造"的新型信息交流平台,建立可以更好地服务于研究者的科学交流模式,是适应科学交流发展的必然要求。发挥传统图书馆学技术优势,深入挖掘开放存取平台的科学交流服务功能,构建网络环境下科学交流的新模式,是网络时代图书馆走出危机并走向辉煌的重要途径。本文就图书馆在基于开放存取平台的科学交流中所起的作用进行了探讨。认为在现在知识库中增加构建知识节点图、开展个性化服务、构建数字化学习平台等功能是图书馆在开放获取环境下促进科学交流的重要手段。 相似文献
11.
[目的/意义]研究虚拟知识社区的社会网络结构特征及影响因素,通过全面描述虚拟知识社区的人际关系网络结构,揭示影响网络形成的社会化过程。[方法/过程]以知乎网"疫苗"话题为样本,基于用户关注关系构建人际关系网络,使用指数随机图模型从纯结构效应和行动者-关系效应两个方面论述社会网络的主要构局和网络形成原因。[结果/结论]发现网络存在自组织,其中聚敛性、扩张性、传递性闭合和一般传递性是正向显著的,而2-路径效应为负显著。用户层面知识贡献程度表现出显著的趋异性,用户声望和知识贡献具有显著的接收者效应。 相似文献
12.
[目的/意义] 通过学术交流生态系统的研究与北京大学学术交流生态系统的初步构建,为高校与科研机构建设学术交流生态系统,推动学术交流和开放获取服务提供研究与实践参考经验。[方法/过程] 梳理学术交流概念、模式、功能与国内外研究发展情况,分析学术交流环境变化,指出开放获取、数据驱动研究范式、软件工具发展、社交媒体、教育教学新变革等因素驱动学术交流生态系统重构。介绍北京大学新一代学术交流生态系统的研究成果、架构设计、构建经验与服务效果,总结机构知识库、研究数据服务、开放出版、学者主页与研究支持服务等建设经验与效果。[结果/结论] 研究提出新一代学术交流生态系统,是以开放学术交流为目标,以学术资源数据汇集为基础,覆盖完整学术交流生命周期,提供研究准备、学术发现、研究与分析、写作、发布、传播与评价等学术交流全流程服务,并利用文献计量、数据挖掘、机器学习等新技术,为教学、科研、科研管理、学科评估等提供支持。总结研究成果和经验,为高校与科研机构建设学术交流生态系统提供有价值的研究与建设参考经验。推动学术交流发展,促进研究创新。 相似文献
13.
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
14.
通过问卷调查法研究网络社交对现实人际交往的影响。首先,对网络社交现状进行描述性统计,从交往范围、交往方式、交往动机等角度进行分析;其次,利用量表详细分析网络社交动机,并根据被访者人口统计变量分析其影响因素;再次,在此基础上总结网络社交的特征;最后,根据实验数据分析网络社交对现实生活人际交往的影响。 相似文献
15.
[目的/意义] 基于国外的相关案例,探讨LAM资源与社交网络融合的优势和模式,为数字文化资源的服务提供新理念和新方法。[方法/过程] 运用案例分析方法和对比分析方法,剖析基于Tumblr、Flickr以及Wikipedia等第三方平台的LAM资源与社交媒体融合运作模式及优势特色,为LAM机构利用社交网络开展相关实践提供有益参考。[结果/结论] LAM资源与社交网络的融合能有效提高数字文化资源在网络空间的曝光度、可查找性和可获取性。我国LAM机构应在意识层面、政策层面、机构层面、媒介选择层面以及内容层面吸取国外案例的先进经验,推动社交媒体更加有效的被应用。 相似文献
16.
博客社区内的非正式交流:基于网络链接的实证分析 总被引：3，自引：0，他引：3
博客是互联网上一种新型的计算机中介交流系统.随着越来愈多的科技用户使用博客进行在线交流,博客社区逐渐已经成为一种重要的科学交流网络.借助社会网络分析技术和中国最大的IT博客社区内的链接数据,我们对博客交流网络的结构特征进行了探索分析.分析结果表明博客交流网络是一个小世界,幂律现象十分明显;博客网络内存在核心博客和普通博客之分,两者共同组成了各种星状拓扑结构的子群.本文的发现对于创新科学交流体系和设计新一代科学交流系统具有重要意义. 相似文献
17.
《Journal of Informetrics》2023,17(2):101392
In academia researchers join a research community over time and contribute to the advancement of a field in a variety of ways. One of the most established ways to contribute to the field is by passing on knowledge to the future generations through academic advising. Many academic scholars have more influence, while others fail to make an impact. Typically, academic influence refers to the ability of a researcher to pass on her/his “academic gene” in future researchers. In this article, we propose the task of Researcher Influence Prediction (ResIP) to predict researchers’ future influence in an academic field through the analysis of the corresponding academic genealogy network. Researcher influence prediction has got several implications as far as different academic outcomes are concerned (e.g. funding, awards, career progression, collaboration, identifying prolific researchers etc.).To address the ResIP, a number of end-to-end deep learning architectures have been proposed in the current work. The proposed architectures take as input the lineage graph of a researcher at a given time point and predicts the growth of his/her family in future time points. The design of encoder in the proposed architecture considers both temporal and structural information of the input lineage graph while the decoders are tuned towards the nature of the output (single point vs. sequence). The proposed models have been trained, validated and compared with strong baselines using datasets created out of a subset of researchers from the Mathematics Genealogy Project (MGP). 相似文献
18.
In 2009, the departments in the executive branch of the U.S. federal government received the presidential marching order to “harness new technologies” in order to become more transparent, collaborative and participatory. Given this mandate, this article sets out to provide insights from qualitative interviews with social media directors to understand the factors that influence internal adoption decisions to use social media applications, such as Facebook, Twitter, or blogs. Three distinct factors influence the adoption decisions of social media directors: information about best practices in their informal network of peers, passive observations of perceived best practices in the public and private sector, and “market-driven” citizen behavior. The resulting adoption tactics include: (1) representation, (2) engagement, and (3) networking. The findings point to the need for higher degrees of formalized knowledge sharing when it comes to disruptive technology innovations such as social media use in highly bureaucratic communication environments. Recommendations based on the lessons learned are provided for practitioners and social media researchers to develop social media tactics for different organizational purposes in government. 相似文献
19.
《Journalism Practice》2013,7(1):17-32
When news reporters connect people in a news story they essentially construct social networks in the news media. Networks through which news sources can be aligned symbolically in written, audible or visual form. This particular type of network is first defined and described with reference to the ways in which the concept of networks has previously been used by researchers and news reporters. Following this conceptualization the vision of networks in the news media and the adjacent vocabulary are then operationalized and used as a backdrop for an analysis of Danish newspapers from 1905 to 2005. This is an approach that can help delineate—and graphically visualize—how networks in the news media have evolved over the past century, and the content analysis shows that the socio-symbolic networks not only augment communicative actors and structures from parliament and other pre-existing platforms for communication, but also complement or even substitute them. The development offers people both inside and outside news rooms new potentials—and problems—when it comes to affecting the lives of people connected directly or indirectly to the networks. 相似文献
20.
[目的/意义] 通过对科研群体中学者之间的关联度进行研究,建立一种新的关联度计算模型,为深入分析学者间的关系提供更多视角。[方法/过程] 在对已有学者关联度表示方法进行总结的基础之上,将传统研究中的学者间合著关系与文献引用关系进行集成,构建基于合著与共引关系的学者关联度模型。实证部分以图书情报领域17种期刊10余年的文献数据以及引文数据为例,详细阐述基于该模型的复杂网络构建过程,并对该复杂网络的应用价值进行论述。[结果/结论] 实证数据表明,该关联度计算模型具有可应用性,构建的网络很好地将有向图与无向图进行了统一,不仅能够反映合著关系也能够体现相互间的共引关系,为深入分析学者间的关联提供数据基础,也能为知识服务和政策制定提供有益的参考。 相似文献