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 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 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.

Data Mining for Social Network Analysis Using a CLIQUE Algorithm

2019 ◽  
pp. 160-187
Author(s):  
Phu Ngoc Vo ◽  
Tran Vo Thi Ngoc
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Social ◽  
The World ◽  
Commercial Applications ◽  
Clique Algorithm

Many different areas of computer science have been developed for many years in the world. Data mining is one of the fields which many algorithms, methods, and models have been built and applied to many commercial applications and research successfully. Many social networks have been invested and developed in the strongest way for the recent years in the world because they have had many big benefits as follows: they have been used by lots of users in the world and they have been applied to many business fields successfully. Thus, a lot of different techniques for the social networks have been generated. Unsurprisingly, the social network analysis is crucial at the present time in the world. To support this process, in this book chapter we have presented many simple concepts about data mining and social networking. In addition, we have also displayed a novel model of the data mining for the social network analysis using a CLIQUE algorithm successfully.

scholarly journals ANALISIS JARINGAN TRANSFER PEMAIN BOLA MENGGUNAKAN METODE SOCIAL NETWORK ANALYSIS (STUDI KASUS : LIGA SPANYOL (LA LIGA) TAHUN 2015 – 2020)

2020 ◽  
Vol 17 (1) ◽  
pp. 88-95
Author(s):  
Ni Made Distiara Landephy Aryashila ◽  
Silvyana Nur Haliza ◽  
Naufal Farras Maulana ◽  
Doni Achmad Heniawan ◽  
Yudianto Yudianto
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Basic Concept ◽  
Closeness Centrality ◽  
Degree Centrality ◽  
Improve Performance ◽  
The Social ◽  
The World ◽  
Key Players

Football is a popular sport that is loved by a lot of society in the world, ranging from children to adult is very enthusiastic when discussing about soccer. The process of buying and transferring players is one element that can’t be separated in football, this process is done to improve performance and replace players who move to other clubs. Spanish league or known as La Liga is one of the major league that often transfers player, information regarding player transfers and the club itself can be seen in each season on the website transfermarkt.com. In this study we chose the Spanish League as an object of research, we use the Social Network Analysis Basic Concept technique to determine the key players of each club and players in the Spanish League in the 2015-2020 period by analyzing degree centrality, closeness centrality, dan betweenness centrality. the results of this study were displayed  Sevilla FC as a club key player, and Juanfran as a key player player

scholarly journals BIM Engineering Cost Budgeting Method based on Social Network Analysis Method

2022 ◽  
Vol 16 ◽  
pp. 151-158
Author(s):  
Guohui Fan ◽  
Chen Guo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Construction Industry ◽  
Analysis Method ◽  
Practical Application ◽  
Project Cost ◽  
Healthy Development ◽  
The Social ◽  
Engineering Cost

Engineering cost budgeting is crucial to the healthy development of the engineering and construction industry. To solve the problem of large deviations in budget results from using traditional methods of cost budgeting based on evaluation results or drawing conversions, the BIM engineering cost budgeting method based on social network analysis method is studied in this paper. On the basis of analyzing cost budgeting requirements and determining modeling economic criteria, the social network analysis method is used to analyze the project cost risks. According to the project quantity list, professional BIM software is used to budget the project cost. Case verification proves the feasibility of this budgeting method as the budget deviation is reduced by about 78% compared with the traditional method. The result of the paper has a more ideal practical application effect and positive significance for optimizing the traditional cost budgeting methods

scholarly journals Implementation of Social Network Analysis in the Spread of Natuna Issues on Twitter

2021 ◽  
Vol 4 (1) ◽  
pp. 64-72
Author(s):  
Ashif Dzilfiqar Thayyibi ◽  
◽  
Juliana Mansur ◽  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Method ◽  
Twitter Data ◽  
Internet Users ◽  
The Social ◽  
Collection Period ◽  
Society Today

Currently, the growth of internet users has been accompanied by the development of applications that support interaction among users, which is called social media. One of the popular social media in society today is twitter. Data on Twitter can be presented in a graph structure visualization in nodes that represent actors and edges that represent relationships between actors. In an effort to find the most influential actors and actors who interact the most in spreading the Natuna topic on social media twitter, an analysis will be carried out using the Social Network Analysis method using the Degree Centrality approach. The data used in this study were taken from December 20, 2019 at 00.00 WIB to January 7, 2020 at 10.00 WIB consisting of 71,477 nodes and 147066 edges. The results of this study can be concluded that the @susipudjiastuti account is the most influential actor and plays an important role in social networking because the @susipudjiastuti account is the most linked account with 29755 links. Meanwhile, the @ shaktia704 account was the most active account during the data collection period, which reached 259 links.

The Performativity of Networks

2015 ◽  
Vol 56 (2) ◽  
pp. 175-205 ◽  
Author(s):  
Kieran Healy
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
The Social ◽  
The World ◽  
Finance Theory ◽  
Key Aspects ◽  
Network Technologies ◽  
Open Question ◽  
Strong Formulation

AbstractThe “performativity thesis” is the claim that parts of contemporary economics and finance, when carried out into the world by professionals and popularizers, reformat and reorganize the phenomena they purport to describe, in ways that bring the world into line with theory. Practical technologies, calculative devices and portable algorithms give actors tools to implement particular models of action. I argue that social network analysis is performative in the same sense as the cases studied in this literature. Social network analysis and finance theory are similar in key aspects of their development and effects. For the case of economics, evidence for weaker versions of the performativity thesis is quite good, and the strong formulation is circumstantially supported. Network theory easily meets the evidential threshold for the weaker versions. I offer empirical examples that support the strong (or “Barnesian”) formulation. Whether these parallels are a mark in favor of the thesis or a strike against it is an open question. I argue that the social network technologies and models now being “performed” build out systems of generalized reciprocity, connectivity, and commons-based production. This is in contrast both to an earlier network imagery that emphasized self-interest and entrepreneurial exploitation of structural opportunities, and to the model of action typically considered to be performed by economic technologies.

Duality beyondPersons and Groups

2020 ◽  
pp. 391-413
Author(s):  
Sophie Mützel ◽  
Ronald Breiger
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Data ◽  
Future Directions ◽  
Affiliation Networks ◽  
The Social ◽  
Recent Developments ◽  
Principle Of Duality ◽  
Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

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