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Doing a literature review using content analysis-Research Networks Review


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Research networks (RN) are social spaces in academia where knowledge processes happens, driven by collaboration and competition forces. Since RN is a complex phenomenon, new research is emerging in all fields of knowledge, its understanding needs a broad approach. This paper aims to examine pertinent and accessible literature to give a state of art of the so called research networks science. There is novelty in reviewing referential databases in which are included not only English written papers but also Portuguese and Spanish articles. Seven multidisciplinary databases were used for identifying relevant papers: Web of Knowledge; Scopus; Academic Search Complete; Proquest; Eric; Scielo; Redalyc and after a triage process of 1093 articles, 125 journals examined, 148 articles were selected for full analysis in three levels of aggregation, individual, institutional and system research. A framework was organized including the literature analysis, on micro (individual), meso (institutional) and macro (system) levels. From content analysis of selected articles some relevant themes emerge linked with topic. Integration of this information helps to build a conceptual model on Research Networks.
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... In this article, we have gathered elements of research accomplished by team members and their partners [3]. The conceptual framework that marked the research processes was leveraged by a deep review of the literature [4] on Research Networks. The results of the different studies carried out by the team were published and the methodology has been presented in specific texts [5]. ...
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The need to construct and refine a conceptual model was identified in order to achieve two objectives: (1) to have a clear and functional communication tool for the collaborative work of a dispersed research team; (2) to have a data analysis tool, clearly structured for use in several projects but with a transversal theme (Collaboration Networks). A software (webQDA) was selected that provides a collaborative and ubiquitously distributed (web-based) environment, which is simple and intuitive to use, and suitable to integrate the various projects that the team is developing. This article focuses on the task of refining the conceptual model that structures the team’s various projects under the umbrella theme called Collaboration Networks. After the introduction, we present the methodological trajectory of the research group and the methodology for the refinement of the conceptual tool.
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Introduction: The pandemic of COVID-19 imposed the elaboration and dissemination of content about protection and prevention of the disease for dif- ferent audiences. Objective: Analyze videos released by government institutions related to COVID-19 protection and prevention for people with disabilities (PWD) in light of Cognitive Theory of Multimedia Learning (CTML). Methods: Docu- mentary research, carried out on the official websites of the governmental spheres of Brazil and on the YouTube video sharing platform. Results: Identified 33 videos produced in 2020 and their contents presented understandable language, clear and varied colors, devoid of figures or animations. Of these, 29 videos included the Libras interpreter and one used audio description of the images. Two categories were identified: Protective Measures of COVID-19 in PWD and Preventive Mea- sures of COVID-19 in PWD. According to the principles of the Theory it was observed adequacy in the conveying of information on the protective measures regarding the principles of coherence, signaling, spatial and temporal contiguity, pre-training, modality, multimedia and customization in the language on individ- ual and collective protection measures, educational inclusion and accessibility to rehabilitation assistance by telehealth. In the preventive measures, the principles of multimedia, personalization, voice, image, signaling, and personalization are attended to, as hand washing, respiratory etiquette, correct use of the face mask and with lip visor, facing COVID-19 for intellectual PWD, hygiene of support equip- ment, and protocols used in inclusive residences were explained. Conclusions: The principles of CTML contributed satisfactorily to the visual materials pub- lished about COVID-19 for PWD, however, this communication modality needs a greater reach to the interested public.
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Content analysis is a highly flexible research method that has been widely used in library and information science (LIS) studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research and qualitative research. The authors draw on selected LIS studies that have used content analysis to illustrate the concepts addressed in the article. The article also serves as a gateway to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly in the article. published or submitted for publication
Using a simple model for the information flow on social networks, we show that the traditional hierarchical topologies frequently used by companies and organizations, are poorly designed in terms of efficiency. Moreover, we prove that this type of structures are the result of the individual aim of monopolizing as much information as possible within the network. As the information is an appropriate measurement of centrality, we conclude that this kind of topology is so attractive for leaders, because the global influence each actor has within the network is completely determined by the hierarchical level occupied.
In recent years, the analysis and modeling of networks, and also networked dynamical systems, have been the subject of considerable interdisciplinary interest, yielding several hundred papers in physics, mathematics, computer science, biology, economics, and sociology journals (Newman 2003c), as well as a number of books (Barabasi 2002, Buchanan 2002, Watts 2003). Here I review the major findings of this emerging field and discuss briefly their relationship with previous work in the social and mathematical sciences.
Evolution of the social network of scientific collaborations
  • A L Barabasi
  • H Jeong
  • Z Neda
  • E Ravasz
  • A Schubert
  • T Vicsek
A. L. Barabasi, H. Jeong, Z. Neda, E. Ravasz, A. Schubert, and T. Vicsek, "Evolution of the social network of scientific collaborations," Physica a-Statistical Mechanics and Its Applications, vol. 311, pp. 590-614, Aug 2002.