Knowledge graph technology application in Chinese SSCI: An example of short videos research

Yang, Wancheng; Ning, Hailin

doi:10.1177/09610006211063201

Cited by 6 publications

(6 citation statements)

References 68 publications

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“…The first objective was to evaluate the presence, number, and change of paradigms or research programs in political science; the second-to identify the subdisciplines or topics within the field. Using a Web of Science (WoS) Core Collection dataset of all writings in political science field from 1946, we used the LIM (Batagelj et al, 2014) and HCA (Sun et al, 2014;Bhuyan et al, 2021;Lee et al, 2010;Yang & Ning, 2021) methods for extracting related papers. To the best of our knowledge, this study was the first comprehensive bibliometric study in the field of political science, not limited by subfield, region, or some other narrowing criterion.…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, we wanted to see if we would again obtain the core-periphery structure of the topics, and whether we would find more than ten subdisciplines. HCA is a method that has been widely used in bibliometric studies to analyze keyword co-occurrence networks along with the link islands method (Sun et al, 2014;Bhuyan et al, 2021;Lee et al, 2010;Yang & Ning, 2021).In implementation of the HCA approach, we used the same restriction on the number of clusters that we have received from cuts of LIM method and followed the procedure of further clustering of the largest island obtained by each partition (a total of four times). Table 9S of the Supplementary Materials describes the partitions obtained by LIM and HCA.…”

Section: Cluster Network Analysis Robustness Check With Hcamentioning

confidence: 99%

See 1 more Smart Citation

Searching for coherence in a fragmented field: Temporal and keywords network analysis in political science

Zaytsev¹,

Kuskova

Khvatsky

et al. 2023

Net Sci

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In this paper, we answer the multiple calls for systematic analysis of paradigms and subdisciplines in political science—the search for coherence within a fragmented field. We collected a large dataset of over seven hundred thousand writings in political science from Web of Science since 1946. We found at least two waves of political science development, from behaviorism to new institutionalism. Political science appeared to be more fragmented than literature suggests—instead of ten subdisciplines, we found 66 islands. However, despite fragmentation, there is also a tendency for integration in contemporary political science, as revealed by co-existence of several paradigms and coherent and interconnected topics of the “canon of political science,” as revealed by the core-periphery structure of topic networks. This was the first large-scale investigation of the entire political science field, possibly due to newly developed methods of bibliometric network analysis: temporal bibliometric analysis and island methods of clustering. Methodological contribution of this work to network science is evaluation of islands method of network clustering against a hierarchical cluster analysis for its ability to remove misleading information, allowing for a more meaningful clustering of large weighted networks.

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Section: Discussionmentioning

confidence: 99%

Section: Cluster Network Analysis Robustness Check With Hcamentioning

confidence: 99%

Searching for coherence in a fragmented field: Temporal and keywords network analysis in political science

Zaytsev¹,

Kuskova

Khvatsky

et al. 2023

Net Sci

View full text Add to dashboard Cite

show abstract

“…Hence, it is extensively adopted across different disciplines including sociology, economics, and information science. Among the several knowledge mapping tools, CiteSpace remains frequently used in many prior works for data visualization and analysis ( Zhu and Yang, 2018 ; Yang and Ning, 2021 ; Zhang et al, 2021 ). Given its wide application in academia, CiteSpace was employed in this study to facilitate the construction and visualization of knowledge mapping of the EN studies in China.…”

Section: Methodsmentioning

confidence: 99%

Knowledge Mapping of Enterprise Network Research in China: A Visual Analysis Using CiteSpace

et al. 2022

Self Cite

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Enterprise Network (EN) has increasingly gained popularity in academia. Over the past few decades, a substantial amount of EN studies have been published in China. Drawing upon a sample of 603 papers retrieved from the Chinese Social Sciences Citation Index database (CSSCI) between 1998 and 2020, this study aims to delve into the status quo, knowledge base, research focus, and evolutionary trends of EN research in China. A multifaceted bibliometric analysis was performed using CiteSpace. The findings mainly indicate that the research on EN in China has a clear development context, and the research content gradually changes from macro to micro. In addition to foreign Social Network theories, the research results of domestic scholars have become the basic knowledge in this field. The research includes these topics: the conceptualization of EN, EN as indicators of enterprise development, EN’s impact on start-ups, mechanisms of EN’s effect and governance of EN. The potential direction for future research has been identified as the integration between EN and other forms of networks, and the structure of EN.

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“…The purposes of using short-form video platforms are to establish and maintain relationships with people through virtual platforms and have a positive role in forming social capital (Yang and Ning, 2021). In order to maintain social relationships, users of short-form video platforms post various forms of information, such as profiles, short videos, comments, and online displays of their talents (Loiacono, 2015;Huang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Privacy concerns toward short-form video platforms: Scale development and validation

Wang

Zhang²,

Wang³

2022

Front. Psychol.

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Privacy concerns can effectively predict behavioral intention between users and short-form video platforms, but existing studies lack of multidimensional scales to measure privacy concerns towards short-form video platforms. To this end, this study took privacy concerns theory as the theoretical foundation to develop and validate a multidimensional privacy concerns scale in short-form video platforms by referring to the development of Smith, Milberg and Burke' multidimensional scale of concerns for information privacy (CFIP), Sheehan and Hoy's multidimensional scale of privacy concerns, Malhotra, Kim and Agarwal's Internet users' information privacy concerns (IUIPC) scale, and Hong and Thong's Internet privacy concerns (IPC) multidimensional scale. In this research, three representative short-form video platforms, TikTok, Kuaishou and Xigua, were selected as research samples. The multidimensional privacy concerns scale was refined by qualitative interviews and open-ended questionnaires et al. and tested by item analysis, exploratory factor analysis, confirmatory factor analysis, and discriminant validity et al. The results show that the privacy concerns scale towards short-form video platforms consists of three dimensions: collection concerns, awareness concerns, and usage concerns. And the multidimensional scale developed in this study has good reliability, convergent validity, and content validity, which can help guide short-form video platforms to take targeted measures to manage privacy concerns in business practices and provide a basis for future empirical studies on privacy concerns.

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Knowledge graph technology application in Chinese SSCI: An example of short videos research

Cited by 6 publications

References 68 publications

Searching for coherence in a fragmented field: Temporal and keywords network analysis in political science

Searching for coherence in a fragmented field: Temporal and keywords network analysis in political science

Knowledge Mapping of Enterprise Network Research in China: A Visual Analysis Using CiteSpace

Privacy concerns toward short-form video platforms: Scale development and validation

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