Developing a Conceptual Framework for the Scientific Social Networks using Metasynthesis Method

Sharafi, Ali and Noruzi, Alireza and Esmaeili Givi, Mohammadreza and Heidary Dahooie, Jalil Developing a Conceptual Framework for the Scientific Social Networks using Metasynthesis Method. Iranian Journal of Information Management, 2021, vol. 6, n. 2, pp. 110-130. [Journal article (Paginated)]

[img]
Preview
Text
Social Networks Framework.pdf - Published version
Available under License Creative Commons Attribution.

Download (369kB) | Preview

English abstract

Scientific social networks play an important role in creating, organizing, storing, sharing, disseminating, and using information and knowledge among scientific communities and accelerate and facilitate the processes of information and knowledge management and communication among them. So the purpose of this research was to identify the dimensions and components of scientific social networks and to present its conceptual framework. This applied research has used a metasynthesis approach and library methods. A total of 50 sources out of 325 sources were selected for the meta-study and 170 codes, 25 concepts and 8 categories extracted. To analyze the data, seven step-by-step methods of Sandelowski and Barroso have been used. The findings showed that the components of scientific social networks, including: Management (science development, information management and knowledge management); Technology (information systems, scientific social websites, social networks); Culture (scientific behavior, scientific view, environmental and social factors); Communications (communication types and tools); Learning (education, content and cooperation); Personal characteristics (expert, skill, interest and motivation); Scientific performance (product, evaluation, assessment and scientific levels), and Legal issues (copyright and security) affect each other and scientific social networks. The proposed conceptual framework can be used for design, evaluation of success, assessment of status, prediction and pathology of scientific social networks in the scientific societies and centers.

Item type: Journal article (Paginated)
Keywords: Scientific communities, Social networks, Scientific social networks, Scientific networks
Subjects: B. Information use and sociology of information > BJ. Communication
L. Information technology and library technology > LC. Internet, including WWW.
Depositing user: Dr. Alireza Noruzi
Date deposited: 15 Jul 2021 19:37
Last modified: 15 Jul 2021 19:37
URI: http://hdl.handle.net/10760/42265

References

Ahmed, E.B., Tebourski, W., Ben Abdessalem Karaa, W. & Gargouri, F. (2014). Scientific social network ontology. 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

Al-Aufi, A., & Fulton, C. (2016). Science networking tools for informal scholarly communication prove popular for academics at two universities. Evidence Based Library and Information Practice, 11 (2), 195-197.

Bench, S, & Day, T. (2010). The user experience of critical care discharges: a meta-synthesis of qualitative research. International Journal of Nursing Studies, 47(4), 487-499.

Catalano, A. (2013). Patterns of graduate student’s information seeking behavior: a meta-synthesis of the literature. Journal of Documentation, 69 (2), 243-274.

Chakraborty, N. (2012). Activities and reasons for using Social networking sites by research scholars in NEHU: A study on Facebook and ResearchGate. 8th Convention PLANNER-2012, Gangtok, Sikkim.

Corvello, V. & Felicetti, A.M. (2015). Factors affecting the utilization of knowledge acquired by researchers from scientific social networks: An empirical analysis. World Conference on Information Systems and Technologies, WorldCIST 2015; Ponta Delgada; Portugal; 1 April 2015 through 3.

Devi, B. & Yameena, A. (2015). Science communication through social networking sites. SRELS Journal of Information Management, 52 (5), 337-344.

Fernández, R, Amboage, S. & Fernández, M. (2018). Use, knowledge and assessment of the scientific digital social networks in the Galician universities. Future Generation Computer Systems, 89, 584-605.

Glynn, L. (2006). A critical appraisal tool for library and information research. Library Hi Tech, 24(3), 387-399.

Grosseck, G, Bran, R, & Tiru, L. (2011). Dear teacher, what should I write on my wall? A case study on academic uses of Facebook. Procedia Social and Behavioral Sciences, 15, 1425-1430.

Huang, L., Zhang, J., Feng, K. Ju, P., Wie, Y.F, Song, D.K & Xu, H. (2014). Building a Scientific Social Network with Joomla. Applied Mechanics and Materials, 687-691, 2316-2319.

Madhusudhan, M. (2012). Use of social networking sites by research scholars of the University of Delhi: A study. International Information & Library Review, 44, 100-113.

Petrushka, A., Komova, M. & Demydov, I. (2019). Social networks as an alternative environment for the implementation of scientific communication. International Workshop on Control, Optimisation and Analytical Processing of Social Networks, COAPSN-2019, At: Lviv, Ukraine.

Pinto, J.M. (2002). A Knowledge-Network Model of Scientific Communities. M.S Thesis in Media Arts and Sciences at the Massachusetts Institute of Technology.

Rosabel, R., Laura, M. & Gonzalo, L. (2016). Scientific social networks. The social Web at the service of research. International Journal of Educational Research and Innovation, 5, 171-183.

Sandelowski, M. and Barroso, J. (2007). Toward a Meta synthesis of qualitative findings on motherhood in HIV-positive women. Research in Nursing & Health, 26 (2), 153-170.

Serajian, M. & Akhgar, B. (2013). Designing a scientific social network site based on a conceptual methodology. Journal of Systems and Information Technology, 15(4), 292-303.

Sharafi, A., Noruzi, A., Esmaeili Givi, M., & Heidary Dahooie, J. (2020). Presenting the Conceptual model of the Social Knowledge Management using Meta Synthesis Method. Strategic Management of Organizational Knowledge, 3(2), 51-96.

Stroele V., Zimbrao, G., Souza, J.M. (2012). Modeling, mining and analysis of multi-relational scientific social network. Journal of Universal Computer Science, 18 (8), 1048-1068.

Zimmer, L. (2006). Qualitative meta-synthesis: a question of dialoguing with texts. Journal of Advanced Nursing, 53, 311–318.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item