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1.
ABSTRACTThis article suggests that situations in which multiple research teams are convened under similar conditions present an opportunity to discover factors that lead to productive collaboration. It argues that social network analysis of research team outputs becomes more valuable when paired with data about research participant perceptions; and that any variables used as indicators of collaboration need to be calibrated using datasets from multiple studies with cross-team comparisons. The article provides an example of the kind of methodology needed to achieve this, describing a study with data from four research teams based at an Australian university campus, reporting their research performance over four years under conditions in which many variables were controlled and with results augmented by a survey of participant perceptions. Findings from the study indicate that there were exceptions to hypothesized associations between participant perceptions of collaboration and specific social network analysis measures over co-authorship data. The article suggests that, given the methodological challenges of studying research teams in the field, multiple datasets combining findings such as those in the present study are a path towards the development of indicators of productive higher education research collaboration. 相似文献
2.
Relying on data from a nationally representative sample of youth involved in the child welfare system (CWS) in 1999–2000 (the National Survey of Child and Adolescent Well-Being, Cohort 1) and 2008–2009 (Cohort 2), this study implemented a diverse set of disparity indicators to estimate area-socioeconomic disparities in mental health (MH) services use and changes in area-socioeconomic disparities between the two cohorts. Our study found that there are area-socioeconomic disparities in MH service use, indicating that the rates of MH service use among youth referred to the CWS differ by area-socioeconomic positions defined by county-level poverty rates. We also found that area-socioeconomic disparities increased over time. However, the magnitude of the increase varied widely across disparity measures, suggesting that there are different conclusions about the trend and magnitude of area-socioeconomic disparities, depending upon which disparity measures are implemented. A greater understanding of the methodological differences among disparity measures is warranted, which will in turn impact how interventions are designed to reduce socioeconomic disparities among children in the CWS. 相似文献
3.
Sangwon Lee Taehyun Ha Daeho Lee Jang Hyun Kim 《Information processing & management》2018,54(6):1115-1128
Majority opinions are often observed in the process of social interaction in online communities, but few studies have addressed this issue with empirical data. To identify an appropriate theoretical lens for explaining majority opinions in online environments, this study investigates the skewness statistic, which indicates how many “Likes” are skewed to major comments on a Facebook post; 3489 posts are gathered from the New York Times Facebook page for 100 days. Results show that time is not an influential factor for skewness increase, but the number of comments has a logarithmic relation to skewness increase. Regression models and Chow tests show that this relationship differs depending on topic contents, but majority opinions are significant in overall. These results suggest that the bandwagon effect due to social affordance can be a suitable mechanism for explaining majority opinion formation in an online environment and that majority opinions in online communities can be misperceived due to overestimation. 相似文献
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Lesly Alejandra Gonzalez Camacho Solange Nice Alves-Souza 《Information processing & management》2018,54(4):529-544
Recommender Systems are currently highly relevant for helping users deal with the information overload they suffer from the large volume of data on the web, and automatically suggest the most appropriate items that meet users needs. However, in cases in which a user is new to Recommender System, the system cannot recommend items that are relevant to her/him because of lack of previous information about the user and/or the user-item rating history that helps to determine the users preferences. This problem is known as cold-start, which remains open because it does not have a final solution. Social networks have been employed as a good source of information to determine users preferences to mitigate the cold-start problem. This paper presents the results of a Systematic Literature Review on Collaborative Filtering-based Recommender System that uses social network data to mitigate the cold-start problem. This Systematic Literature Review compiled the papers published between 2011–2017, to select the most recent studies in the area. Each selected paper was evaluated and classified according to the depth which social networks used to mitigate the cold-start problem. The final results show that there are several publications that use the information of the social networks within the Recommender System; however, few research papers currently use this data to mitigate the cold-start problem. 相似文献
6.
Carol G. Hixson 《Cataloging & classification quarterly》2020,58(3-4):294-302
AbstractThe beginnings and the early years of the Program for Cooperative Cataloging (PCC) had a profound impact on the approach taken to cataloging in North America and around the world. The commitment to standards, cooperation, and expanded access also had an impact that went far beyond cataloging operations. One library dean traces the evolution of her vision and contemplates how the PCC’s principles have shaped her entire career and have affected the libraries in which she has worked. 相似文献
7.
[目的/意义] 针对包含单一类型知识单元的知识网络难以全面反映学科知识结构的问题,提出一种从多维度进行知识网络结构融合的方法,为学科领域知识结构挖掘提供借鉴。[方法/过程] 利用LDA及TF-IDF方法抽取学科知识单元,然后运用语义相似度和关键词共现分析方法构建3个学科知识子网络:主题网络、关键词网络和实体网络,并采用空间节点传递对齐方法对齐子网络节点,接着设计基于图卷积操作的自编码模型对知识节点进行表示,最后通过计算余弦相似度重构学科知识网络。[结果/结论] 实验部分以人工智能领域为例,构建融合主题、关键词和实体的学科知识网络并展开分析,实验结果表明,本文所提方法能有效地揭示学科领域研究内容和知识结构,为学科知识发现与组织研究提供有益参考。 相似文献
8.
ABSTRACT This paper examines the social construction of ‘fashionability’ – namely, what is ‘desirable’ and ‘fashionable’ – with reference to the concept ‘cultural mediators’ that foregrounds agency, negotiation and the contested practices of market actors in cultural production. It zeroes in on the cultural mediators’ attitudes and positions in the two markets by drawing on 25 in-depth interviews with industry veterans. It shows that the mediators in South Korea and China increasingly occupy hybrid occupational roles and social positions across industries and sectors yet achieve limited success in countering the status quo of Western fashion through mediation. The analysis contributes to the literature with a categorisation of seven mediation practices that shape the valuation of fashion products (i.e. ‘fashionability’) in two ways. Empirically, this categorisation illuminates how cultural mediators make reference habitually to the broader social and cultural contexts to co-construct cultural-aesthetic objects. Theoretically, it advances a cultural-economic approach to the understanding of cultural mediation and challenges the reductionist viewpoint of actor–network theory through the notion of a matrix of cultural-economic agency. 相似文献
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新冠肺炎疫情期间,在线健身服务作为“智慧抗疫”的重要组成部分受到了业界和学界的广泛关注。为了进一步探究在线健身服务持续使用意愿的影响因素,该文对技术接受模型(TAM)和任务—技术匹配模型(TTF)进行了整合,通过网络调查和数理统计等研究方法对用户持续使用在线健身服务的影响因素进行了实证分析。结果表明:(1)影响用户持续使用意愿的内外部因素主要包括感知有用性、感知易用性、感知趣味性、任务特征、技术特征和任务—技术匹配度6项;(2)感知有用性、感知易用性、感知趣味性以及任务—技术匹配度对用户持续使用意愿均有显著正向影响;(3)任务特征和技术特征显著正向影响任务—技术匹配度,感知易用性则显著正向影响感知有用性,而感知易用性则不显著正向影响感知趣味性。基于以上分析提出了增加用户持续使用意愿的相关建议。 相似文献