Evaluation of the network interaction of the participants of the Ulyanovsk-Avia cluster»

2021 ◽  
pp. 224-246
Author(s):  
Elizaveta Kolchinskaya ◽  
Polina Yakovleva
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The State ◽  
Support Programs ◽  
Analysis Method ◽  
State Support ◽  
Network Interaction ◽  
Cluster Networks ◽  
Ulyanovsk Region

The article addresses the problem of identification and analysis of clusters chosen for state support programs. The goal of the paper is to test the possibilities of social network analysis method as a tool to identify and evaluate the activity of clusters supported by the state. To solve this issue, the authors have chosen an aircraft cluster of the Ulyanovsk region — the Consortium «Scientific, educational and production cluster» Ulyanovsk-Avia. The cluster was analyzed using social network analysis based on information collected in the SPARK database. The authors build cluster networks, perform homogeneity calculations, and identify the central nodes. The results obtained allows us to conclude that Ulyanovsk-Avia demonstrates active ties between its companies. However, this interaction cannot be unambiguously classified as a cluster one.

scholarly journals Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

2021 ◽  
Vol 5 (4) ◽  
pp. 697-704
Author(s):  
Aprillian Kartino ◽  
M. Khairul Anam ◽  
Rahmaddeni ◽  
Junadhi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Interaction Network ◽  
Analysis Method ◽  
The Social ◽  
The World ◽  
High Degree

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.  

scholarly journals The Relation between Organizational Network Distance and Knowledge Transfer Based on Social Network Analysis Method

2017 ◽  
Vol 12 (06) ◽  
pp. 171
Author(s):  
Muyun Sun
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Transfer ◽  
Analysis Method ◽  
Network Distance ◽  
Organizational Network ◽  
Network Connection ◽  
Knowledge Growth ◽  
Negative Effect

As a means to maintain competitive advantages of organizations, knowledge transfer has attracted more and more attention in the academic circle. In this paper, the concept of network distance is introduced on the basis of social network analysis method, and the influence of network distance between organizations in social network on knowledge transfer is studied. Moreover, analogue simulation is conducted by utilizing 10 innovative enterprises in Shanghai Withub Hi-Tech Center. According to the researches, firstly, knowledge growth rate of the entire network tends to increase at first and then becomes stable as time passes. In this process, knowledge difference level among various organizations continues to decline and tends to be stable finally. Secondly, network distance has a negative effect on knowledge transfer. According to the simulation results, organizations need to continuously improve their knowledge absorption ability, to change the network connection mode, and to form a close network with other organizations.

scholarly journals The provenance of Neo-Babylionian legal documents from ‘Kish’ outside the Ashmolean Museum Collection

1970 ◽  
Vol 24 ◽  
pp. 35-46
Author(s):  
Roman Deiksler
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
First Century ◽  
Museum Collection ◽  
Analysis Method ◽  
Legal Documents ◽  
The Social ◽  
The Town

This article shows the significance of the Social Network Analysis method in the study of Judea in the first century AD. The author presents the method and then shows its application on the example of the role of individual cities of Galilee. The situation concerns the time of the Jewish uprising in Galilee over a period of several months (autumn 66 - July 67 AD). After analyzing the situation in Galilee based on the works of Joseph Flavius, a graph was generated using the Ucinet computer program. The use of SNA in the study of the importance of individual cities in Galilee drew attention to the town of Gamla, which Joseph Flavius considered the most important fortress in this area. In addition, the graph showing the visits of individual insurgents to the cities of Galilee showed that Sepphoris was visited by both supporters and opponents of Joseph Flavius. Despite the fact that the inhabitants supported the Romans, they did not give up any rebel who visited them. The study confirmed the usefulness of the SNA method in undertaking subsequent analyzes of the works of Joseph Flavius.

Research of China's Position for Textile and Apparel Trade - Based on the Social Network Perspective

2013 ◽  
Vol 821-822 ◽  
pp. 667-672
Author(s):  
Hao Zhou ◽  
Xiao Li Li
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Density ◽  
Analysis Method ◽  
Trade Relations ◽  
Network Diagram ◽  
The Social ◽  
Textile And Apparel ◽  
The World

This paper takes 31 leading textile and apparel trade countries or regions in the world as the research object. It constructs the adjacency matrix for the trade relations. Using social network analysis method, it measures the network structure of the global textile and apparel trade respectively from the perspectives of trade network diagram, network density, centrality. According to this result, it explores Chinas position on the global textile and apparel trade and interprets it.

scholarly journals Impact of Collective Trademarks in Mexican artisanal cheesemakers

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Mónica Andrea Agudelo-López ◽  
Fernando Cervantes-Escoto ◽  
Alfredo Cesín-Vargas ◽  
María Isabel Palacios-Rangel ◽  
Angélica Espinoza-Ortega
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Quantitative Information ◽  
Negotiation Process ◽  
The State ◽  
Strategic Networks ◽  
External Actors ◽  
Depth Interviews

Processes related to Collective Trademarks (CTMs), and the state of social friendship, productive support, and strategic networks, were studied for three different artisanal cheesemaker groups: Queso Bola de Ocosingo with an inactive CTM, Queso de Poro de Balancán, with an active CTM, and Quesillo de Reyes Etla, with a CTM undergoing its negotiation process. The influence of negotiation and operation of CTMs as consolidation strategies of three Mexican artisanal cheesemakers was analyzed through a mixed investigation involving in-depth interviews, social network analysis, and quantitative information. The research indicated that networks are small with scarce interaction among the actors, and, where collective strategies have not been induced, the networks are more disconnected and show a higher proportion of isolated nodes. It is concluded that, when collective strategies come from external actors without the necessary accompaniment, they tend to fail because their actions are supported by temporal actors, impacting social relations among cheesemakers.

Sign in / Sign up

Export Citation Format

Share Document