Do researchers collaborate in a similar way to publish and to develop projects?

Clemente-Gallardo, Jesús; Ferrer, Alfredo; Íñiguez, D.; Rivero, Alejandro; Ruiz, Gonzalo; Tarancón, A.

doi:10.1016/j.joi.2018.11.004

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…This approach -not used until now in research on citizen science, as far as we know -allows us to analyse the properties of the corresponding graphs, completing the existing quantitative research. For this goal we use a methodology partially similar to that previously used to study the role of Spanish co-authors networks in Economics (Molina et al 2018a), or in the analysis of the different types of researchers collaborations (Clemente-Gallardo et al 2019), both based on the tool Kampal research tool, developed by the company Kampal Data Solutions S.L. (http://www.kampa l.com) and presented in Álvarez et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the evolution and collaboration networks of citizen science scientific publications

et al. 2020

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The term citizen science refers to a broad set of practices developed in a growing number of areas of knowledge and characterized by the active citizen participation in some or several stages of the research process. Definitions, classifications and terminology remain open, reflecting that citizen science is an evolving phenomenon, a spectrum of practices whose classification may be useful but never unique or definitive. The aim of this article is to study citizen science publications in journals indexed by WoS, in particular how they have evolved in the last 20 years and the collaboration networks which have been created among the researchers in that time. In principle, the evolution can be analyzed, in a quantitative way, by the usual tools, such as the number of publications, authors, and impact factor of the papers, as well as the set of different research areas including citizen science as an object of study. But as citizen science is a transversal concept which appears in almost all scientific disciplines, this study becomes a multifaceted problem which is only partially modelled with the usual bibliometric magnitudes. It is necessary to consider new tools to parametrize a set of complementary properties. Thus, we address the study of the citizen science expansion and evolution in terms of the properties of the graphs which encode relations between scientists by studying co-authorship and the consequent networks of collaboration. This approach - not used until now in research on citizen science, as far as we know- allows us to analyze the properties of these networks through graph theory, and complement the existing quantitative research. The results obtained lead mainly to: (a) a better understanding of the current state of citizen science in the international academic system-by countries, by areas of knowledge, by interdisciplinary communities-as an increasingly legitimate expanding methodology, and (b) a greater knowledge of collaborative networks and their evolution, within and between research communities, which allows a certain margin of predictability as well as the definition of better cooperation strategies.

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Section: Introductionmentioning

confidence: 99%

Analysis of the evolution and collaboration networks of citizen science scientific publications

et al. 2020

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“…For instance, in the case of economics, women are under-represented in knowledge production process, and in research leadership roles, as well as in editorial board of influential JCR journals (Dalziel & Saunders, 2019;Pearse et al, 2019). However, other authors found that the involvement of women in research leadership roles (or as principal investigators) is similar to the percentage of women existing in each of the departments or areas of the university ( Clemente-Gallardo et al, 2019).…”

Section: Problem Statementmentioning

confidence: 99%

Collaborative Research for Excellence in Economics and Social Sciences

2019

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The economic, social and legal development of contemporary society, the globalization of economies and the complexity of businesses have led to an increase in the importance of financial information in substantiating decisions. More and more fierce competition, specific to the market economy and the pursuit of profit maximization as the goal of any business, involve inherent risks that entrepreneurs try to avoid as much as possible. Users confidence in the accounting information increases when the entity's financial statements are subject to an audit engagement, but the auditor is subject to risks that may affect the quality of his work. The study's finding highlights the importance of understanding and adopting ethical principles by all involved participants. It shows that the independence of the auditor is a principle that can easily be violated if the manager's influence is high and the consequences on the audit report lead to manipulated accounting information. Quantitative research was carried out on a sample of 100 auditors, members of Chamber of Financial Auditors of Romania, from the South Muntenia region, using the survey technique and the questionnaire as a research tool.

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“…Such research can only give a distal and static perspective on collaboration in a scientific community. Other work however, examines whether collaboration patterns change across disciplines (Clemente-Gallardo et al, 2019), investigates building a new research community based on integration expertise (Bammer, 2013), or even considers the extent to which humanities and the sciences can be integrated into a new shared consilience framework (Slingerland & Collard, 2012). These dynamic perspectives on collaboration give a more comprehensive view of collaborative processes, and work on why (e.g.…”

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confidence: 99%

Initiating scientific collaborations across career levels and disciplines – a network analysis on behavioral data

Eberle

Stegmann

Barrat

et al. 2021

Intern. J. Comput.-Support. Collab. Learn

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Collaborations are essential in research, especially in answering increasingly complex questions that require integrating knowledge from different disciplines and that engage multiple stakeholders. Fostering such collaboration between newcomers and established researchers helps keep scientific communities alive while opening the way to innovation. But this is a challenge for scientific communities, especially as little is known about the onset of such collaborations. Prior social network research suggests that face-to-face interaction at scientific events as well as both network-driven selection patterns (reciprocity and transitivity) and patterns of active selection of specific others (homophily / heterophily) may be important. Learning science research implies, moreover, that selecting appropriate collaboration partners may require group awareness. In a field study at two scientific events on technology-enhanced learning (Alpine Rendez-Vous 2011 and 2013) including N = 5736 relations between 287 researchers, we investigated how researchers selected future collaboration partners, looking specifically at the role of career level, disciplinary background, and selection patterns. Face-to-face contact was measured using RFID devices. Additionally, a group awareness intervention was experimentally varied. Data was analyzed using RSiena and meta-analyses. The results showed that transitivity, reciprocity and contact duration are relevant for the identification of new potential collaboration partners. PhD students were less often chosen as new potential collaboration partners, and researchers with a background in Information Technology selected fewer new potential collaboration partners. However, group awareness support balanced this disciplinary difference. Theoretical, methodological, and practical implications of these findings are discussed.

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Do researchers collaborate in a similar way to publish and to develop projects?

Cited by 5 publications

References 15 publications

Analysis of the evolution and collaboration networks of citizen science scientific publications

Analysis of the evolution and collaboration networks of citizen science scientific publications

Collaborative Research for Excellence in Economics and Social Sciences

Initiating scientific collaborations across career levels and disciplines – a network analysis on behavioral data

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