Does the world smile together? A network analysis of global index option implied volatilities

2022 ◽  
pp. 101497
Author(s):  
Jing Chen ◽  
Qian Han ◽  
Doojin Ryu ◽  
Jing Tang
Keyword(s):  
Network Analysis ◽  
Global Index ◽  
The World ◽  
Index Option

Mapping the Topics and Evolutions of Chinese Children’s Bestsellers

Libri ◽  
2020 ◽  
Vol 70 (4) ◽  
pp. 305-317
Author(s):  
Jiming Hu ◽  
Xiang Zheng ◽  
Peng Wen ◽  
Jie Xu
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Network Analysis ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Children's Books ◽  
Children’S Books ◽  
Correlation Structures ◽  
The World ◽  
Data Source

AbstractChildren’s books involve a large number of topics. Research on them has been paid much attention to by both scholars and practitioners. However, the existing achievements do not focus on China, which is the fastest growing market for children’s books in the world. Studies using quantitative analysis are low in number, especially on the intellectual structure, evolution patterns, and development trends of topics of children’s bestsellers in China. Dangdang.com, the biggest Chinese online bookstore, was chosen as a data source to obtain children’s bestsellers, and topic words in them were extracted from brief introductions. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This study shows that topics of Chinese children’s bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.

Risk Comparison of Karachi Stock Exchange with Next Eleven Countries: A Country Beta Approach

2014 ◽  
Vol 4 (1) ◽  
pp. 202
Author(s):  
Aqeel Abbas ◽  
Sajjad Ahmad Baig ◽  
Muhammad Zia-ur-Rehman ◽  
Muhammad Abrar
Keyword(s):  
South Korea ◽  
Stock Exchange ◽  
Country Risk ◽  
Stock Exchanges ◽  
Global Index ◽  
The World ◽  
Better Than

This study is based on the Country risk of different stock exchanges of the world. Here Country risk is derived from the Country Beta Approach, as this approach is described by the Erb, Harvey and Viskanta (1996). Specifically, this study is based on the risk comparison of KSE 100 with next eleven countries (South Korea, Iran, Mexico, Philippine, Indonesia, Turkey, Egypt, Nigeria, Pakistan, Vietnam and Bangladesh), which are defined by the Goldman Sachs (2005). For this purpose, the stock exchange's data of these countries is compared with the global index. Actually, the global index is consisted on the 44 countries of the world. Here only one factor is discussed, which is a country risk (country beta). Actually the riskiness is measured in this study on the basis of beta, higher the beta means higher the risk; lower the beta means low the risk. The result shows that the performance of KSE is much better than the next eleven economies but Nigerian stock exchange has less risk than the KSE 100.

scholarly journals An Exploratory Study on COVID-19 and the Rights of Children Based on Keyword Network Analysis

2021 ◽  
Author(s):  
Seoyeon Lee
Keyword(s):  
Network Analysis ◽  
Child Rearing ◽  
Current Status ◽  
Educational Institutions ◽  
Income Support ◽  
Online Classes ◽  
Health Crisis ◽  
The World ◽  
Entire Country ◽  
Keyword Network

Abstract COVID-19 has become a worldwide health crisis. Around March 2020, the entire country was shut down, including schools. This resulted in significant changes in the lives of children. In this study, the researcher conducted a keyword network analysis utilizing Ucinet ver 6.716 and NetDraw ver 2.173, after gathering the data using Textom in order to examine the current status of the rights of children in a COVID-19 pandemic. The findings of this study were that the degree centrality was higher with poverty, educational institutions, parents, teachers, income support, child care, child-rearing, caring, online classes, and child welfare, etc. Therefore, it can be said that there is an urgent need for the implementation of the respect of the rights of children all over the world in this COVID-19 pandemic.

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.  

On Habit and Fiction in Latours' Inquiry and Fictional Knowledge on Habit in Proust's Recherche

2017 ◽  
pp. 198-219
Author(s):  
Michael Cuntz
Keyword(s):  
Network Analysis ◽  
Crucial Role ◽  
Literary Texts ◽  
Vital Importance ◽  
Works Of Art ◽  
The World ◽  
Lost Time ◽  
Modes Of Existence ◽  
Opposite Tendency

Latour's Inquiry into Modes of Existence undertakes a re-evaluation of both modern ontology and ANT: Adding qualitative differentiation to quantitative network analysis is tantamount to the outline of a pluralist ontology distinguishing a variety of different modes of being in the world. The aim is to make more space in order to provide proper accommodation for all enti-ties, especially for those a monist ontology could not account for. Both [HAB], habit, and [FIC], fiction, are modes that deserve a particular amount of space; [HAB] due to its all-pervasiveness in everyday courses of action, [FIC] due to its crucial role in anthropogenesis and its vital importance for many other modes. Nonetheless, there is an opposite tendency to restrict the possibilities of these modes. This is elucidated first by comparing [HAB] with other philosophical assessments of habit and [FIC] with Serres' readings of works of art and literary texts, and second via a confrontation of [FIC] and [HAB] with Proust's In Search of Lost Time, a work of fiction inquiring deeply into the workings of habit.

Local community detection based on modularity metric G

2015 ◽  
Vol 29 (33) ◽  
pp. 1550215 ◽  
Author(s):  
Zhengyou Xia ◽  
Xiangying Gao ◽  
Xia Zhang
Keyword(s):  
Network Analysis ◽  
Community Detection ◽  
World Wide ◽  
Local Community ◽  
Complete Information ◽  
Detection Problem ◽  
Two Phase ◽  
The World ◽  
Local Community Detection

In complex network analysis, the local community detection problem is getting more and more attention. Because of the difficulty to get complete information of the network, such as the World Wide Web, the local community detection has been proposed by researcher. That is, we can detect a community from a certain source vertex with limited knowledge of an entire graph. The previous methods of local community detection now are more or less inadequate in some places. In this paper, we have proposed a new local modularity metric [Formula: see text] and based on it, a two-phase algorithm is proposed. The method we have taken is a greedy addition algorithm which means adding vertices into the community until [Formula: see text] does not increase. Compared with the previous methods, when our method is calculating the modularity metric, the range of vertices what we considered may affect the quality of the community detection wider. The results of experiments show that whether in computer-generated random graph or in the real networks, our method can effectively solve the problem of the local community detection.

Mapping User-Centric Internet Geographies: How Similar are Countries in Their Web Use Patterns?

2019 ◽  
Vol 69 (5) ◽  
pp. 467-489 ◽  
Author(s):  
Yee Man Margaret Ng ◽  
Harsh Taneja
Keyword(s):  
Network Analysis ◽  
English Speakers ◽  
Use Patterns ◽  
The Us ◽  
The World ◽  
Web Use ◽  
User Centric ◽  
Internet Market ◽  
Media Globalization

Abstract With half the world now online, a handful of websites dominate globally. Yet little is known about the homogeneity or geographical distinctness of global web use patterns. Focusing beyond popular sites, we inquired into how and why countries are similar in their web use patterns, developing a framework drawing on the literatures on media globalization, as well as Internet geographies. To compute similarities in web use between countries, we utilized an algorithm that considered both ranking positions and overlap counts on ranked lists of the 100 most popular websites for 174 countries, totaling 6,252 unique websites. Findings from a network analysis and from regressions suggest that countries with similar languages and shared borders, as well as those vastly different in their Internet market sizes, tend to have similar web use patterns. Neither are countries particularly similar to the US in web use nor does the prevalence of English speakers have an influence.

Sign in / Sign up

Export Citation Format

Share Document