Social Network Analysis about Differences between Face-to-Face and Web-Bulletin Board Interaction in Blended Learning

2013 ◽  
Vol 9 (3) ◽  
pp. 143-170
Author(s):  
Seung-Hwan Jung ◽  
Sungho Kwon
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning ◽  
Bulletin Board ◽  
Face To Face

scholarly journals Strengths and weaknesses of the Net-Map tool for participatory social network analysis in resource management: Experience from case studies conducted on four continents

2018 ◽  
Vol 11 (2) ◽  
pp. 205979911878775 ◽  
Author(s):  
Barbara Schröter ◽  
Claudia Sattler ◽  
Frieder Graef ◽  
Cheng Chen ◽  
Estephania Delgadillo ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Face To Face ◽  
Directed Information ◽  
Management Experience ◽  
Participatory Network ◽  
Network Mapping ◽  
Depth Interviews

For researchers, conducting face-to-face interviews is always a challenge as it often turns into a one-way directed information retrieval. Therefore, interviewees not always are very motivated, enthusiastic and cooperative in responding to the questions. In the end, this has implications for the quality of the interview data. To improve the interview setting and the resulting data, in several projects the Net-Map tool was used to conduct participatory social network analysis. The tool is a combination of in-depth interviews and participatory network mapping. During the interviews, the interviewee draws the network of relevant actors, notes down their motivations and evaluates and displays the actors’ influence and benefits by building towers using any kind of stacks. In this research note, we present the strengths and weaknesses of the method against the experiences with applying the Net-Map tool on four different continents and give ideas for improvements and further research.

scholarly journals Social Network Analysis to Examine Interaction Patterns in Knowledge Building Communities

2010 ◽  
Vol 36 (1) ◽  
Author(s):  
Donald N. Philip
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Building ◽  
Group Processes ◽  
Interaction Patterns ◽  
Face To Face ◽  
Grade 5 ◽  
Teachers And Students ◽  
Building Community

This paper describes use of social network analysis to examine student interaction patterns in a Grade 5/6 Knowledge Building class. The analysis included face-to-face interactions and interactions in the Knowledge Forum® Knowledge Building environment. It is argued that sociogram data are useful to reveal group processes; in sociological terms, the community lies in the connections among the group. A classroom of unconnected individuals is unlikely to form as a Knowledge Building community; data analyses reported in this study show promise in understanding the dynamics of Knowledge Building in a consistent and measurable way. The strength of the work is not in particular patterns demonstrated but in new forms of assessment and their potential to inform work as it proceeds. The research reported shows that teachers and students are finding social network analysis useful and that through their engagement research-practitioner-engineer teams are better positioned to develop tools to advance Knowledge Building pedagogy.

Instructional Design of Blended Learning with MOOCs and Social Network Analysis

2018 ◽  
Vol 24 (11) ◽  
pp. 7952-7955
Author(s):  
Helmi Norman ◽  
Norazah Nordin ◽  
Melor Md Yunus ◽  
Mohamed Ally
Keyword(s):  
Instructional Design ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning

scholarly journals Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study (Preprint)

2020 ◽  
Author(s):  
Eiji Kawamoto ◽  
Asami Ito-Masui ◽  
Ryo Esumi ◽  
Mami Ito ◽  
Noriko Mizutani ◽  
...  
Keyword(s):  
Health Care ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Care Professionals ◽  
Wearable Sensors ◽  
Interaction Data ◽  
Face To Face

BACKGROUND Use of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the interprofessional interactions between health care professionals. OBJECTIVE We used wearable sociometric sensor badges to study how intensive care unit (ICU) health care professionals interact and are socially connected. METHODS We studied the face-to-face interaction data of 76 healthcare professionals in the ICU at Mie University Hospital collected over 4 weeks via wearable sensors. RESULTS We detail the spatiotemporal distributions of staff members’ inter- and intraprofessional active face-to-face interactions, thereby generating a comprehensive visualization of who met whom, when, where, and for how long in the ICU. Social network analysis of these active interactions, concomitant with centrality measurements, revealed that nurses constitute the core members of the network, while doctors remain in the periphery. CONCLUSIONS Our social network analysis using the comprehensive ICU interaction data obtained by wearable sensors has revealed the leading roles played by nurses within the professional communication network.

Blended learning communities

2010 ◽  
pp. 256-276 ◽  
Author(s):  
S. Annese ◽  
M. Traetta ◽  
P. F. Spadaro
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Blended Learning ◽  
Learning Communities ◽  
Sense Of Belonging ◽  
Interactive Environments ◽  
Group Members ◽  
Psychosocial Processes ◽  
Specific Learning

Blended learning communities are defined by specific learning and psychosocial processes based on the multilayered sense of belonging of the group’s members, related to the merging of both virtual and real interactive contexts. This chapter focuses on the psychosocial dynamics of blended communities, in order to identify some specific participation strategies and identity dynamics, which both vary with the double interactive context. We used a qualitative variant of Social Network Analysis to analyse the interactions of two blended student communities, identifying various participation trajectories and identity positionings of the group members. The results revealed that the blending of two communication contexts generates different psychosocial dynamics from those activated by the same community in a wholly on- or offline context. The combination of interactive environments results in participation strategies in which members can choose distinctive trajectories, shaping their original identity positionings.

Financial experts in a spider web. A social network analysis of the archives of Caecilius Iucundus and the Sulpicii

Klio ◽  
2013 ◽  
Vol 95 (2) ◽  
Author(s):  
Wim Broekaert
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Business ◽  
Local Level ◽  
Business Community ◽  
Careful Selection ◽  
Face To Face ◽  
Spider Web ◽  
Selection Of

SummaryThis paper provides a social network analysis of the business communities in Pompeii and Puteoli, viewed through the lens of the archives of Caecilius Iucundus and the Sulpicii. This approach reveals how entrepreneurs tried to create trust and select reliable witnesses in two very different trading worlds. I argue first that the presence of an ‚international‘ business community in Puteoli necessitated the careful selection of witnesses among colleagues in trade, who were acquainted with someone’s reputation and trustworthiness. In Pompeii on the other hand, the local level of exchange allowed bankers and businessmen to operate in a face-to-face community, where experience in trade was not considered to be a vital criterion to be selected as a witness.

Social Network Analysis

2021 ◽  
pp. 261-266
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Social Ties ◽  
Social World ◽  
Face To Face ◽  
Social Actors ◽  
The Social ◽  
Flow Through

This chapter studies Social Network Analysis (SNA), which is a methods toolbox for analysing the patterning of social ties and explaining how and why those patterns emerge and what consequences they have for social actors. Social networks are ubiquitous in the social world, either unfolding in face-to-face interactions or digitally. In recent decades, SNA has grown in popularity, appealing broadly to students interested in complex social structures. The recent availability of data based on digital traces of social relations (e.g. emails or social media profiles) has further prompted students to study these network structures. Analysing how actors are connected through other actors via paths may indicate how e.g. information or resources flow through the network via these ties.

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