Construction of Informal Learning Knowledge Network Based on Social Network Analysis

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

Download Full-text

Applying Social Network Analysis and Social Capital in Personal Learning Environments of Informal Learning

Virtual Professional Development and Informal Learning via Social Networks ◽

10.4018/978-1-4666-1815-2.ch005 ◽

2012 ◽

pp. 75-92 ◽

Cited By ~ 1

Author(s):

Xiaojun Chen ◽

Jea H. Choi ◽

Ji Hyun Yu

Keyword(s):

Social Capital ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Informal Learning ◽

Learning Environments ◽

Personal Network ◽

Personal Learning ◽

Personal Learning Environments ◽

Collaboration Dynamics

Recently, researchers in the instructional technology and learning sciences arenas have started to pay attention to the concept of Personal Learning Environments (PLE). With the aim to investigate how social network theory could indicate the desired indicators for successful Personal Learning Environments, the authors are addressing social capital theory as a conceptual framework to understand the network landscape within informal learning environments. Social capital is an inherent property of network and collaboration dynamics, along with key indicators related to personal network measurements. Personal network analysis as a means to evaluate the social capital is discussed later in this chapter. This chapter is not about learning what or learning as becoming, but about how people learn with whom, and with what degree of influence. It will be helpful to educators or researchers who are interested in measuring academic and psychosocial outcomes within the presence of social capital when applying personal social network analysis in personal learning networks.

Download Full-text

Social Network Analysis in Knowledge Management Research

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.474-476.1007 ◽

2011 ◽

Vol 474-476 ◽

pp. 1007-1011

Author(s):

Bing Wu ◽

Jun Ge ◽

Wen Xia Xu

Keyword(s):

Knowledge Management ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

The United States ◽

Library Science ◽

Knowledge Network ◽

Future Research ◽

Management Research ◽

Main Research

This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning social network analysis in knowledge management research. The result indicates that the number of related literature is still growing especially in recent two years. The main research development country is the United States, then England and German, and from the analysis of the subject area, Information Science & Library Science is the most popular subject. Concerning source title, Knowledge Management Research & Practice is in the priority. Moreover the research focuses on this topic are mainly in close relationship with knowledge network. Typical references were analyzed in detail, including limitations and future research.

Download Full-text

Visualization of clinical teaching citations using social network analysis

10.21203/rs.3.rs-51824/v2 ◽

2021 ◽

Author(s):

Hakimeh Hazrati ◽

Shoaleh Bigdeli ◽

Seyed Kamran Soltani Arabshahi ◽

Vahideh Zarea Gavgani ◽

Nafiseh Vahed

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Research Collaboration ◽

Clinical Teaching ◽

Clustering Coefficient ◽

Knowledge Network ◽

Research Network ◽

Centrality Measures ◽

The Usa

Abstract BackgroundAnalyzing the previous research literature in the filed of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA).Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. ResultsBased on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills.Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

Download Full-text

Examining of immigrant entrepreneurship studies in international literature by using social network analysis

Problems and Perspectives in Management ◽

10.21511/ppm.15(si).2017.03 ◽

2017 ◽

Vol 15 (2) ◽

pp. 500-508 ◽

Cited By ~ 1

Author(s):

Nisa Akın ◽

Barış Bostancı ◽

Evrim Mayatürk Akyol

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Global Economy ◽

Economic Impacts ◽

Knowledge Network ◽

Academic Disciplines ◽

International Literature ◽

Immigrant Entrepreneurship ◽

The World

Immigrant entrepreneurship is increasingly becoming part of the global economy which is garnering more attention from different academic disciplines. The increase in numbers of immigrants all over the world, especially in recent times, has also led to an increase in the immigrant entrepreneurship. Socio-cultural and economic impacts of this increase begin to draw attention of researchers studying the economy and business. However, analyzing the studies about immigrant entrepreneurship phenomenon systematically is quite limited. In this context, the aim of the study is to reveal knowledge network of immigrant entrepreneurship and show slightly-used paths of this field as suggestions for further studies. To achieve this aim, social network analysis (SNA) providing linkages and connections about immigrant entrepreneurship is used. Likewise SNA method is commonly used in scientific researches to provide a powerful set of tools for describing and linking information. Articles about immigrant entrepreneurship published in journals which are involved in SSCI are evaluated and UCINET software is used for visualizing our research through keywords. The study is expected to contribute to the business literature generally and entrepreneurship literature specifically and lead to researchers who aim to study the immigrant entrepreneurship by means of focusing on gaps and variables which are not discoursed adequately in the field.

Download Full-text

Understanding Knowledge Networks via Social Network Analysis (SNA)

Advances in Electronic Government, Digital Divide, and Regional Development - Regional Innovation Systems and Sustainable Development ◽

10.4018/978-1-61692-846-9.ch004 ◽

2011 ◽

pp. 32-42

Author(s):

Asleena Helmi ◽

Zainal Ariffin Ahmad ◽

Daisy Kee Mui Hung

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Capacity Building ◽

Network Theory ◽

Social Network Theory ◽

Knowledge Networks ◽

Knowledge Network ◽

Value Propositions ◽

Key Indicators

The link between KM and network theory lies in the cultivating of knowledge networks by viewing knowledge as connections and understanding it as the aggregation of connections across different entities albeit it people or organizations (Kadushin, 2004). The study explores primarily on the capabilities and capacity building of government-linked corporations (GLC) in Malaysia in relation to its evolution as a knowledge network. In this chapter, the authors explore the overlap that exists in KM particularly in the entities and sharing of knowledge assets that undergoes a multiplying effect in its value propositions with the forming of interoganizational relationships. The findings of the study indicates that in order to benefit from the knowledge multiplying affects, organizations need to create a “network identity” and develop capabilities as a learning entity that would add value to the network itself. From the context of KM, majority of the GLCs are in the transitory stages in which issues of trust, competencies and communications have been key indicators in forming network relations. As such this chapter would be useful in highlighting the significance of network relations and provides further proliferation in the study of social network theory and significance to KM.

Download Full-text