Socio-cognitive networks between researchers: Investigating scientific dualities with the group-oriented relational hyperevent model

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks Pub Date : 2025-05-14 DOI:10.1016/j.socnet.2025.04.005

Alejandro Espinosa-Rada , Jürgen Lerner , Cornelius Fritz

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引用次数: 0

Abstract

Understanding why researchers cite certain works remains a key question in the study of scientific networks. Prior research has identified factors such as relevance, group cohesion, and source crediting. However, the interplay between cognitive and social dimensions in citation behavior – often conceptualized as a socio-cognitive network – is frequently overlooked, particularly regarding the intermediary steps that lead to a citation. Since a citation first requires a work to be published by a set of authors, we examine how the structure of coauthorship networks influences citation patterns. To investigate this relationship, we analyze the citation and collaboration behavior of Chilean astronomers from 2013 to 2015 using the Group-Oriented Relational Hyperevent Model, which allows us to study coauthorship and citation networks in a joint framework. Our findings suggest that when selecting which works to cite, authors favor recent research and maintain cognitive continuity across cited works. At the same time, we observe that coherent groups – closely connected coauthors – tend to be co-cited more frequently in subsequent publications, reinforcing the interdependence of collaboration and citation networks.

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研究者之间的社会认知网络：用群体导向的关系超事件模型调查科学的二元性

理解为什么研究人员引用某些作品仍然是科学网络研究中的一个关键问题。先前的研究已经确定了相关性、群体凝聚力和来源信用等因素。然而，引用行为的认知和社会维度之间的相互作用——通常被概念化为社会认知网络——经常被忽视，特别是在导致引用的中间步骤方面。由于引文首先需要由一组作者发表，因此我们研究了共同作者网络的结构如何影响引文模式。为了研究这种关系，我们使用群体导向关系超事件模型（Group-Oriented Relational Hyperevent Model）分析了2013年至2015年智利天文学家的引文和协作行为，该模型允许我们在联合框架下研究合著和引文网络。我们的研究结果表明，在选择引用哪些作品时，作者倾向于最近的研究，并在被引用的作品中保持认知的连续性。与此同时，我们观察到，连贯的群体——紧密联系的共同作者——在随后的出版物中往往被更频繁地共同引用，从而加强了合作和引文网络的相互依赖性。

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来源期刊

Social Networks Multiple-

CiteScore

5.90

自引率

12.90%

发文量

118

期刊介绍： Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.