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.

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.

Pair Selection of Appropriate Taxi Drivers Using Social Network Analysis Models

2018 ◽  
Author(s):  
Chawit Rujichansiri ◽  
Kwanchai Kungcharoen ◽  
Prajin Palangsantikul ◽  
Parham Porouhan ◽  
Wichian Premchaiswadi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Taxi Drivers ◽  
Analysis Models ◽  
Selection Of

scholarly journals Using social network analysis to understand multisectoral governance in district-level tobacco control programme implementation in India

2022 ◽  
Vol 7 (1) ◽  
pp. e006471
Author(s):  
Shinjini Mondal ◽  
Upendra Bhojani ◽  
Samntha Lobbo ◽  
Susan Law ◽  
Antonia Maioni ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Tobacco Control ◽  
Low Income ◽  
Local Level ◽  
Visual Learning ◽  
Control Cell ◽  
District Level ◽  
Essential Components

IntroductionInterest in multisectoral policies has increased, particularly in the context of low-income and middle-income countries and efforts towards Sustainable Development Goals, with greater attention to understand effective strategies for implementation and governance. The study aimed to explore and map the composition and structure of a multisectoral initiative in tobacco control, identifying key factors engaged in policy implementation and their patterns of relationships in local-level networks in two districts in the state of Karnataka, India.MethodsSocial network analysis (SNA) was used to examine the structure of two district tobacco control networks with differences in compliance with the India’s national tobacco control law. The survey was administered to 108 respondents (n=51 and 57) in two districts, producing three distinct network maps about interaction, information-seeking and decision-making patterns within each district. The network measures of centrality, density, reciprocity, centralisation and E-I index were used to understand and compare across the two districts.ResultsMembers from the department of health, especially those in the District Tobacco Control Cell, were the most frequently consulted actors for information as they led district-level networks. The most common departments engaged beyond health were education, police and municipal. District 1’s network displayed high centralisation, with a district nodal officer who exercised a central role with the highest in-degree centrality. The district also exhibited greater density and reciprocity. District 2 showed a more dispersed pattern, where subdistrict health managers had higher betweenness centrality and acted as brokers in the network.ConclusionCollaboration and cooperation among sectors and departments are essential components of multisectoral policy. SNA provides a mechanism to uncover the nature of relationships and key actors in collaborative dynamics. It can be used as a visual learning tool for policy planners and implementers to understand the structure of actual implementation and concentrate their efforts to improve and enhance collaboration.

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.

Social Network Analysis: An Example of Fusion Between Quantitative and Qualitative Methods

2018 ◽  
Vol 14 (1) ◽  
pp. 110-124 ◽  
Author(s):  
Reza Yousefi Nooraie ◽  
Joanna E. M. Sale ◽  
Alexandra Marin ◽  
Lori E. Ross
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Qualitative Methods ◽  
Social Structure ◽  
Statistical Techniques ◽  
Qualitative Approaches ◽  
Quantitative And Qualitative Methods ◽  
Graphical Presentation ◽  
Selection Of

A quantitative approach to social network analysis involves the application of mathematical and statistical techniques and graphical presentation of results. Nonetheless—as with all sciences—subjectivity is an integral aspect of network analysis, manifested in the selection of measures to describe connection patterns and actors’ positions (e.g., choosing a centrality indicator), in the visualization of social structure in graphs, and in translating numbers into words (telling the story). Here, we use network research as an example to illustrate how quantitative and qualitative approaches, techniques, and data are mixed along a continuum of fusion between quantitative and qualitative realms.

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