Research on the knowledge sharing of the university interdisciplinary team based on social network analysis

2016 ◽  
Author(s):  
Xue-yan Zhang ◽  
Xiao-hong Wang ◽  
Chao Huang
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Interdisciplinary Team ◽  
The University

scholarly journals A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Tania Fernández-Villa ◽  
Carmen Benavides ◽  
Andrea Gayubo-Serrenes ◽  
Vicente Martín ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Methodological Approach ◽  
Centrality Measures ◽  
Structural Behaviour ◽  
Cross Sectional ◽  
Depth Analysis ◽  
The University

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.

scholarly journals Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pilar Marqués-Sánchez ◽  
Arrate Pinto-Carral ◽  
Tania Fernández-Villa ◽  
Ana Vázquez-Casares ◽  
Cristina Liébana-Presa ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Global Network ◽  
Case Study Methodology ◽  
And Gender ◽  
The One ◽  
Relationship Structure ◽  
The University

AbstractThe aims: (i) analyze connectivity between subgroups of university students, (ii) assess which bridges of relational contacts are essential for connecting or disconnecting subgroups and (iii) to explore the similarities between the attributes of the subgroup nodes in relation to the pandemic context. During the COVID-19 pandemic, young university students have experienced significant changes in their relationships, especially in the halls of residence. Previous research has shown the importance of relationship structure in contagion processes. However, there is a lack of studies in the university setting, where students live closely together. The case study methodology was applied to carry out a descriptive study. The participation consisted of 43 university students living in the same hall of residence. Social network analysis has been applied for data analysis. Factions and Girvan–Newman algorithms have been applied to detect the existing cohesive subgroups. The UCINET tool was used for the calculation of the SNA measure. A visualization of the global network will be carried out using Gephi software. After applying the Girvan–Newman and Factions, in both cases it was found that the best division into subgroups was the one that divided the network into 4 subgroups. There is high degree of cohesion within the subgroups and a low cohesion between them. The relationship between subgroup membership and gender was significant. The degree of COVID-19 infection is related to the degree of clustering between the students. College students form subgroups in their residence. Social network analysis facilitates an understanding of structural behavior during the pandemic. The study provides evidence on the importance of gender, race and the building where they live in creating network structures that favor, or not, contagion during a pandemic.

Filling structural holes? Guanxi-based facilitation of knowledge sharing within a destination network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiayuan Liu ◽  
Jianzhou Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Network Structures ◽  
Structured Interviews ◽  
Tourist Destination ◽  
Structural Holes ◽  
Content Type

PurposeThis study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.Design/methodology/approachThis study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.FindingsKnowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.Originality/valueThis study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

scholarly journals Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College

2020 ◽  
Vol 4 (2) ◽  
pp. 259-271
Author(s):  
Nurrokhman Nurrokhman ◽  
Hindriyanto Dwi Purnomo ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Closeness Centrality ◽  
Density Level ◽  
Study Program ◽  
Central Java ◽  
The Social ◽  
Study Programs

Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design.

scholarly journals A Case Study of Roles in the Social Reading Activities

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Chen Guo ◽  
Chun Luo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Knowledge Sharing ◽  
Reading Process ◽  
The Social ◽  
Reading Activities ◽  
Social Reading

Readers who participate in social reading activities can play a variety of roles. These roles can reflect differences in the behaviors among readers and influence the knowledge sharing and information flowing in the social reading process. This study investigates a community of university students’ roles in the WeChat reading activities. Social Network Analysis approach was adopted for analyzing the data in WeChat reading. Results indicate that different roles have different effects on the connection between subgroups and the dissemination of information, which can cause influences on the generation and development of social reading networks as well. This study offers implications for facilitating readers’ interactions and knowledge sharing in the social reading contexts.

Facilitating and Evaluating the Development of Positive Interdependence in South African Distance Education

2021 ◽  
pp. 170-190
Author(s):  
Christina Johanna van Staden
Keyword(s):  
Distance Education ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
South African ◽  
Reciprocal Relationships ◽  
Class Level ◽  
Personal Level ◽  
Positive Interdependence ◽  
The University

Cooperative base groups (CBGs) is a technique used in contact education to develop cooperative learning skills. However, it was assumed that the tools currently available can be used for the establishment of CBGs in distance education. For the purpose of this research, a post graduate class in distance education (N=77) was divided in 11 CBGs with 7 members each with the task to assist one another in the completion of assignments, to motivate one another to submit assignments, and to support one another on academic and personal level during the year. The results shows that CBGs provided an effective method to facilitate the establishment of reciprocal relationships and therefore the development of positive interdependence, and that social network analysis provided an effective method to evaluate the development of positive interdependence both on group and class level. Unfortunately, the technique was prematurely cancelled when the author left the university. A possible correlation between positive interdependence and academic achievement needs to be further investigated.

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