scholarly journals Analysis on the Co-authoring in the Field of Management in China: Based on Social Network Analysis

2017 ◽  
Vol 12 (06) ◽  
pp. 149 ◽  
Author(s):  
Chuanyi Wang ◽  
Zhe Cheng ◽  
Zhiwei Huang
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small Groups ◽  
Information Exchange ◽  
Research Output ◽  
Collaboration Network ◽  
The Core ◽  
Bibliographic Data ◽  
Academic Information

Using bibliographic data extracted from CNKI database, social network analysis is used to generate and analyze the network of co-authors of China in the field of management. This article suggests that: the density of the network is low, which means the collaboration between authors in China is not tight; the relations between the degree centrality and research output are weak. The author who published more papers may not have more co-authors. Through the lens of betweenness centrality, several authors in key positions of network are always dominating the academic information exchange and the small groups of authors have changed from 2006 to 2015. The result of core-periphery analysis reflects that only a very small proportion of scholars are in the core of the network while most are relatively independent. The similarity of working experience, academic authority and geographical closeness are helpful to form and enhance the collaboration network.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

scholarly journals Combining Stakeholder- and Social Network- Analysis to Improve Regional Nature Conservation: A Case Study from Osnabrück, Germany

2021 ◽  
Author(s):  
Felix Przesdzink ◽  
Laura Mae Herzog ◽  
Florian Fiebelkorn
Keyword(s):  
Nature Conservation ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Theory And Practice ◽  
Knowledge Mapping ◽  
Land User ◽  
User Groups ◽  
Conservation Projects

AbstractMany nature conservation projects fail primarily not because of a lack of knowledge about upcoming threats or viable conservation concepts but rather because of the inability to transfer knowledge into the creation of effective measures. Therefore, an increase in information exchange and collaboration between theory- and practice-oriented conservation actors, as well as between conservation actors, land user groups, and authorities may enhance the effectiveness of conservation goals. By considering the interactions between conservation stakeholders as social networks, social network analysis (SNA) can help identify structural optimization potential in these networks. The present study combines SNA and stakeholder analysis (SA) to assess the interactions between 34 conservation stakeholders in the major city and district of Osnabrück in northwestern Germany and offers insights into cost/benefit optimizations of these stakeholder interactions. Data were acquired using a pile sort technique and guideline-based expert interviews. The SA, based on knowledge mapping and SWOT (strength, weaknesses, opportunities, and threats) analysis, identified individual stakeholder’s complementary properties, indicating which among them would most benefit from mutual information exchange and collaboration. The SNA revealed discrepancies in information exchange and collaboration between theory- and practice-focused stakeholders. Conflicts were found predominantly between conservation associations, authorities and land user groups. Ecological research, funding, land-use conflicts, and distribution of conservation knowledge were identified as fields with high potential for increased information exchange and collaboration. Interviews also showed that the stakeholders themselves see many opportunities for increased networking in the region. The results are discussed in relation to the existing literature on nature conservation networks and used to recommend optimization measures for the studied network. Finally, the conclusion reflects upon the developed approach’s implications and possibilities for conservation stakeholders and planners in general.

Information access and sharing among prosthetics and orthotics faculty in Ghana and the United States

2020 ◽  
pp. 030936462095882
Author(s):  
Cody L McDonald ◽  
Henry Larbi ◽  
Sarah Westcott McCoy ◽  
Deborah Kartin
Keyword(s):  
United States ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Information Access ◽  
The United States ◽  
Exchange Networks ◽  
Key Players ◽  
Internal Connections

Background: Information access is essential for quality healthcare provision and education. Despite technological advances, access to prosthetics and orthotics information in low- and middle-income countries is not ubiquitous. The current state of information access, availability, and exchange among prosthetics and orthotics faculty is unknown. Objectives: Describe information exchange networks and access at two prosthetics and orthotics programs in Ghana and the United States. Study design: Cross-sectional survey, social network analysis. Methods: An online survey of faculty at two prosthetics and orthotics programs using REDCap. The survey included a social network analysis, demographics, and prosthetics and orthotics information resources and frequency of use. Descriptive statistics were calculated. Results: Twenty-one faculty members completed the survey (84% response). Ghanaian faculty were on average younger (median Ghana: 27 years, United States: 43 years), had less teaching experience, and had less education than US faculty. Textbooks were the most commonly used resource at both programs. The Ghanaian network had more internal connections with few outside sources. The US network had fewer internal connections, relied heavily upon four key players, and had numerous outside contacts. Conclusion: Ghana and US faculty have two distinct information exchange networks. These networks identify key players and barriers to dissemination among faculty to promote successful knowledge translation of current scientific literature and technology development. Social network analysis may be a useful method to explore information sharing among prosthetics and orthotics faculty, and identify areas for further study.

Research Activities and Networks in CAIS Conferences for the Period of 1993- 2015: Social Network Analysis

1969 ◽  
Author(s):  
Kwan Yi ◽  
Tao Jin ◽  
Ping Li
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collaborative Research ◽  
Information Science ◽  
Research Collaboration ◽  
Collaboration Network ◽  
Research Activities ◽  
Canadian Association ◽  
Collaborative Activities

Since 1973 the Canadian Association for Information Science (CAIS/ACSI) has consecutively held 43 annual conferences. The purpose of this study is to better understand the research and collaborative activities in the community of CAIS conferences, based on a social network analysis (SNA) approach. A total of 827 papers from 778 authors have been presented in CAIS for the period of 1993 to 2015, in association with 209 different organizations and 25 countries. A component analysis that has been applied to the collaboration network has discovered research collaboration patterns. This study contributes to discovering collaborative research activities and formation through the CAIS conference and to the literature of the scientific collaboration in the LIS field. Depuis 1973, l'Association canadienne de sciences de l'information (ACSI/CAIS) a tenu 43 congrès annuels consécutifs. Le but de cette étude est de mieux comprendre les activités de recherche et de collaboration dans la communauté de l’ACSI, à l’aide d’une approche d’analyse des réseaux sociaux (ARS). Un total de 827 articles de 778 auteurs ont été présentés à l’ACSI dans la période 1993-2015, en association avec 209 organisations différentes et 25 pays. L’analyse des composantes du réseau de collaboration met en lumière l’existence de patrons de collaboration de recherche au sein de la communauté. Cette étude contribue à l’étude des activités  de collaboration au sein des congrès de l’ACSI ainsi qu’à la littérature sur la collaboration scientifique dans le domaine BSI.

scholarly journals Institutions and Civil Society Relations in Migori County (Kenya): A Social Network Analysis of Weak and Strong Ties

2020 ◽  
Vol 15 (11) ◽  
pp. 1
Author(s):  
Teodora Erika Uberti ◽  
Francesco Salsano
Keyword(s):  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Policy Networks ◽  
Civil Society Organizations ◽  
Strong Ties ◽  
The Core ◽  
Health And Nutrition ◽  
Core Actor

The goal of this paper is to investigate policy networks in Migori, a small county in the Western part of Kenya, near the border with Tanzania and Victoria Lake. In this study we build a unique network database and we use Social Network Analysis techniques to detect the structural relations among different stakeholders (e.g. institutions and civil society actors) within this county and we focus on different topics (i.e. overall interactions, training and cooperation, and for specific decision making on health and nutrition, and agricultural issues). The main results show the importance to distinguish, in policy networks, the rationale of interactions and their intensity, i.e. weak or strong ties. Institutions and civil society organizations are differently connected according to the functions and intensity of networks in which they operate. For example, for health and nutrition the Ministry is the core actor; the opposite occurs in agriculture, where local communities are the core players; and finally in training and coordination we have an intermediate layout, if compared to the two previous ones.

scholarly journals Demystifying Members’ Social Capital and Networks within an Agritourism Association: A Social Network Analysis

2020 ◽  
Vol 1 (1) ◽  
pp. 41-58
Author(s):  
Jing Li ◽  
Carla Barbieri
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Exchange ◽  
Statistical Tests ◽  
Business Networks ◽  
Professional Advice ◽  
Exchange Of Information ◽  
Study Results

Membership associations are vital to build social capital and networks among their members through the exchange of information and resources, roles especially valuable for emerging entrepreneurs. That is the case of associations catering to professionals in agritourism, an enterprise bringing farming and tourism together. However, whether the exchange of information and resources among members holds true within agritourism associations is yet to be known. Filling this knowledge gap is critical given the stated benefits agritourism delivers to society and farmers’ necessity to expand their business networks to increase entrepreneurial success. Therefore, this study evaluated the extent of social capital and networks within a prominent agritourism-focused association in North America. Data were collected from members using a web-based survey in 2016. Analyses included descriptive statistical tests and Social Network Analysis (SNA). Results showed high levels of social capital among members, especially related to its relational dimension (e.g., share professional advice), as well as strong bi-directional (to/from) trust, cooperation, and reciprocity among members. SNA indicated members were well connected and had a healthy information exchange, without the organization intervention. Study results are discussed to provide managerial intelligence towards strengthening social capital and networks within associations catering to agritourism and other niche-tourism professionals.

Social Networks in Information Systems

2010 ◽  
pp. 392-410 ◽  
Author(s):  
Hernâni Borges de Freitas ◽  
Alexandre Barão ◽  
Alberto Rodrigues da Silva
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Information Systems ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Networking ◽  
Information Exchange ◽  
Group Processes ◽  
Communication Tools ◽  
Social Entities

A social network represents a set of social entities that interact through relationships like friendship, co-working, or information exchange. Social Network Analysis studies the patterns of relationships among social entities and can be used to understand and improve group processes. The arrival of new communication tools and networking platforms, especially the Web 2.0 Social Networking Services, opened new opportunities to explore the power of social networks inside and outside organizations. This chapter surveys the basic concepts of social networks methods, approaches, tools, and services. In particular, this chapter analyzes state-of-the-art social networks, explaining how useful Social Network Analysis can be in different contexts and how social networks can be represented, extracted, and analyzed in information systems.

Give Attention to Overlapping Network Detection in Networks for Multimedia

2019 ◽  
Vol 16 (8) ◽  
pp. 3173-3177
Author(s):  
Mercy Paul Selvan ◽  
Akansha Gupta ◽  
Anisha Mukherjee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Recommender Systems ◽  
Small Groups ◽  
Network Nodes ◽  
Network Discovery ◽  
Multimedia Social Networks ◽  
Overlapping Community

Finding overlapping agencies from multimedia social networks is an thrilling and important trouble in records mining and recommender systems but, existing overlapping network discovery often generates overlapping community structures with superfluous small groups. Network detection in a multimedia and social network is a conducive difficulty in the network gadget and it helps to understand and learn the overall network shape in element. Those are essentially the dividing wall of network nodes into a few subgroups in which nodes within these subgroups are densely linked, but the connections are sparser in between the subgroups. Social network analysis is widely widespread domain which draws the attention of many information mining experts. Some wide variety of actual community common characteristics which it shares are facebook, Twitter show off the idea of network shape inside the community. Social network is represented as a community graph. Detecting the groups entails locating the densely linked nodes.

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