Interpersonal Synchrony in the Context of Caregiver-Child Interactions: A Document Co-citation Analysis

Abstract

Social interactions accompany individuals throughout their whole lives. When examining the underlying mechanisms of social processes, dynamics of synchrony, coordination or attunement emerge between individuals at multiple levels. To identify the impactful publications that studied such mechanisms and establishing the trends that dynamically originated the available literature, the current study adopted a scientometric approach. A sample of 543 documents dated from 1971 to 2021 was derived from Scopus. Subsequently, a document co-citation analysis was conducted on 29,183 cited references to examine the patterns of co-citation among the documents. The resulting network consisted of 1,759 documents connected to each other by 5,011 links. Within the network, five major clusters were identified. The analysis of the content of the three major clusters—namely, “Behavioral synchrony,” “Towards bio-behavioral synchrony,” and “Neural attunement”—suggests an interest in studying attunement in social interactions at multiple levels of analysis, from behavioral to neural, by passing through the level of physiological coordination. Furthermore, although initial studies on synchrony focused mostly on parent-child interactions, new hyperscanning paradigms are allowing researchers to explore the role of biobehavioral synchrony in all social processes in a real-time and ecological fashion. Future potential pathways of research were also discussed.

Surveying 80 Years of Psychodrama Research: A Scientometric Review

“…Clusters are automatically labeled by the log-likelihood ratio (LLR) algorithm of CiteSpace. Previous research shows that LLR provides the most accurate labeling of clusters among other available methods in CiteSpace in terms of its coverage of documents within the cluster and its uniqueness across clusters ( 33 , 48 ), although they may still be imprecise when compared to manual cluster labeling ( 34 ). Therefore, while the LLR labels are retained in the subsequent discussion of the clusters, an alternative label is suggested where the LLR label may be deemed inadequate by a closer look at the contributing articles of the cluster.…”

“…Scientometry has surfaced as a quantitative methodology to evaluate scientific production in a specific field of study (32), and has been used in the scientific community to examine research trends from the evolution of psychological constructs [e.g., (33)], advances in research methods and techniques [e.g., (34)], as well as content advancement in biology, medicine, physics and many more [e.g., (34)(35)(36)]. By using quantitative data such as citation metrics, scientometry offers an objective view of widely used citation pathways within specific domains of study, therefore informing the development of research and research impact of the literature (37).…”

Recent Developments in Autism Genetic Research: A Scientometric Review from 2018 to 2022

“…Recommended labels of the clusters are generated using the log-likelihood ratio (LLR) algorithm available on CiteSpace, which identifies the most unique and yet representative terms present in each cluster [ 32 ]. While LLR provides the most accurate labels compared to other automated labelling methods on CiteSpace [ 39 ], it may nonetheless lack precision as compared to manual labelling [ 40 ]. References and papers contributing to each cluster are subsequently summarised in the Discussion section.…”

To wine or not to wine? A scientometric approach to 65+ years of wine preference and selection studies

“…With these documents, the DCA results in a network of documents that represent the underlying structure of the scientific field of interest. To generate such a network in the current study, the node selection criteria and its parameters were optimized after several DCAs, as done by Carollo et al. (2021c).…”