Study on Social Network Analysis Method of Bus Network Based on Relation Degree

2018 ◽  
pp. 237-250
Author(s):  
Shu-Min Feng ◽  
Yi Zhang ◽  
Xi-Shuang Han ◽  
Xiang-Yang Li
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Method ◽  
Bus Network

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 A Study of Coastal Passenger Ship Routes through Social Network Analysis Method

2015 ◽  
Vol 39 (3) ◽  
pp. 217-222
Author(s):  
Jae-Woo Ko ◽  
Chang-Mook Cho ◽  
Sung-Ho Kim ◽  
Wan-Hee Jung
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Method ◽  
Passenger Ship

scholarly journals Penerapan Social Network Analysis dalam Penentuan Centrality Studi Kasus Social Network Twitter

2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Budi Susanto ◽  
Herlina Lina ◽  
Antonius Rachmat Chrismanto
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Betweenness Centrality ◽  
Closeness Centrality ◽  
Specific Form ◽  
Analysis Method ◽  
System User

The twitter provides a kind of relation between users in specific form. When someone follow others, it doesn’t mean that she/he know well about them. We have defined a friend relationship between users in twitter as connection following and follower between two users. Based on this definition we develop a system to get friends and also friends of friends relation from a specific user. We use twitter API to get following and follower list and then construct a graph that represent a social network between those users. From this graph, we analyse the centrality using SNA (Social Network Analysis) method, i.e. closeness and betweeness. We propose to use these methods in order to find out who is the most influence user in the his/her social network to spread out the tweet or information. With this system, user can know about their social network based on their friend list on twitter.   Kata Kunci : Social Network Analysis, Betweenness Centrality, Closeness Centrality

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