ETHNIC HOMOGENEITY IN A SOCIAL NETWORK: RECRUITING INVESTORS INTO THE NAIROBI STOCK EXCHANGE

2011 ◽  
Vol 2011 (1) ◽  
pp. 1-2
Author(s):  
Christopher B. Yenkey
Keyword(s):  
Social Network ◽  
Stock Exchange ◽  
Ethnic Homogeneity

scholarly journals Community structure and centrality effects in the South African company network

2013 ◽  
Vol 44 (2) ◽  
pp. 35-43 ◽  
Author(s):  
I. Durbach ◽  
D Katshunga ◽  
H. Parker
Keyword(s):  
Community Structure ◽  
Social Network ◽  
South African ◽  
Stock Exchange ◽  
The South ◽  
Market Capitalization ◽  
Johannesburg Stock Exchange ◽  
The Relationship

This paper conducts a search for community structure in the South African company network, a social network whose elements are South African companies listed on the Johannesburg Stock Exchange. Companies are connected in this network if they share one or more directors on their respective boards. Discovered clusters, called communities, can be considered to be compartments of the network working relatively independently of one another, making their distribution and composition of some interest. We test whether the discovered communities of companies are (a) statistically significant, and (b) related to other attributes such as sector membership or market capitalization. We also investigate the relationship between the centrality of a company’s position in the network and its market capitalization.

scholarly journals Analisis Eksploratori Tweet Saham Studi Eksploratori Twitter IDX (@IDX_BEI)

2019 ◽  
Vol 1 (1) ◽  
pp. 79-88
Author(s):  
Dewi Anggraini ◽  
Yuli Harwani
Keyword(s):  
Social Network ◽  
Stock Market ◽  
Longitudinal Data ◽  
Exploratory Study ◽  
Stock Exchange ◽  
Primary Data ◽  
Exploratory Research ◽  
Market Sentiment ◽  
Twitter Data

Purpose- The purpose of this research is 2, that is, exploration in utilizing microblogging twitter data to obtain stock market sentiment attribute, secondly, finds the attribute of Indonesian stock market sentiment from twitter Indonesia Stock Exchange @IDX_BEI. Methods- This research is an exploratory study with longitudinal data. In exploratory research, the data used are primary data obtained by collecting Twitter social network account tweets, tweet samples are determined based on the period span July to December 2016. Finding- This research has obtained the stock market sentiment attribute obtained from @idx_bei, but the results are still minimal because the tweets delivered in @idx_bei are still general regarding IHSG and IPO only.

scholarly journals The social network of New Zealand directors: An exploratory study

2010 ◽  
Vol 6 (1) ◽  
pp. 19-38
Author(s):  
Grant Samkin ◽  
Brennan Allen ◽  
David Munday
Keyword(s):  
Social Network ◽  
New Zealand ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Exploratory Study ◽  
Stock Exchange ◽  
Structural Features ◽  
The Social ◽  
Company Directors ◽  
Network Software

The paper has two primary aims. First, to develop an appropriate network analysis to investigate whether any individual directors comprising the social network of New Zealand company directors is sufficiently connected so as to be in a position to exercise any form of cohesion, control or exertion of power. Second whether any directors could be identified as being in a position of power to take advantage of the network? This paper uses social network analysis to map and measure the structural features and patterns of relationships of the directors of companies listed on the New Zealand stock exchange and alternative exchange. The social network analysis was performed using the social network software Pajek™. The techniques used in the study reveal that the vertices (directors) in the network are moderately connected. The findings suggest that there is a small group of directors who are in a position to exercise cohesion, control and power over the network.

The embedded entrepreneur: Recognizing the strength of ethnic social ties

2006 ◽  
Vol 9 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Ed Chung ◽  
Kim Whalen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relationships ◽  
Social Ties ◽  
Entrepreneurial Success ◽  
Unit Of Analysis ◽  
Ethnic Homogeneity

This article is premised on the idea that social networks represent an important, but often overlooked, unit of analysis in management and entrepreneurship studies. The concept of embeddedness, emphasizing the significance of social relationships, is of particular relevance as more and more frequently minorities and immigrants engage in small businessownership. This article borrows from the ethnicity and social network traditions, and offers that an analysis of the ethnic homogeneity of an entrepreneur's strong and weak social ties would be fruitful in gauging entrepreneurial success.

scholarly journals Directorship interlocks in Singapore: A social network analysis

2006 ◽  
Vol 4 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Margaret Tan ◽  
Chu Keong Lee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Stock Exchange ◽  
Listed Company ◽  
Industry Sectors ◽  
Interlocking Directorships

This paper uses social network analysis to examine the extent of interlocking directorships across companies listed on the Singapore Stock Exchange Limited (SGX) Mainboard in 2004. Detailed analyses on different industry sectors within SGX as well as an overall analysis of all the companies on the SGX Mainboard were performed. The findings show that there were varying degrees of interlocking directorships within the different sectors, and on average, each director from a SGX Mainboard-listed company sits on more than 2 directorship positions.

Board structure and corporate disclosure via social media: an empirical study in the UK

2018 ◽  
Vol 42 (5) ◽  
pp. 595-614 ◽  
Author(s):  
Mohamed A.K. Basuony ◽  
Ehab K.A. Mohamed ◽  
Khaled Samaha
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Stock Exchange ◽  
Binary Logistic Regression ◽  
Board Structure ◽  
Corporate Disclosure ◽  
Board Diversity ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to investigate the impact of board structure on voluntary corporate disclosure via social media among the top 150 companies listed on the London Stock Exchange.Design/methodology/approachA disclosure index comprising of a set of items that encompass two facets of disclosure, namely corporate disclosure via social networks and social media sites, is developed and used. Binary logistic regression is used to test the research hypotheses.FindingsThe results of this study reveal the underlying relations between board composition and control variables as the determining factors of corporate disclosure, i.e. board size, board activism, board independence and board diversity (gender and ethnicity). The gender of the board can affect the corporate disclosure via a social network. The results of this study indicate that an increase in the number of female in the board members leads to higher corporate disclosure using social network. Moreover, firm size has a positive effect on corporate disclosure indicating that large firms tend to disclose more information on their websites and social networks.Practical implicationsThe paper provides new insights into the role played by the non-executive female directors in monitoring and controlling managerial processes related to corporate disclosure using social media.Originality/valueTo the best of the authors’ knowledge, this is the first paper that examines the role of board structure in monitoring and controlling management decisions and managerial processes in the area of corporate disclosure via social media.

Efficient Mining Recurring Patterns of Inter-Transaction in Time Series

2019 ◽  
Vol 23 (3) ◽  
pp. 402-413
Author(s):  
Siriluck Lorpunmanee ◽  
Suwatchai Kamonsantiroj ◽  
◽  
Keyword(s):  
Time Series ◽  
Social Network ◽  
Stock Exchange ◽  
Computational Cost ◽  
Periodic Pattern ◽  
Exchange Market ◽  
Mining Technique ◽  
Time Period ◽  
Real World Applications ◽  
Pruning Technique

One type of the partial periodic pattern is known as recurring patterns, which exhibit cyclic repetitions only for particular time period within a series. A key property of the patterns is the event can start, stop, and restart at anytime within a series. Therefore, the extracted meaningful knowledge from the patterns is challenging because the information can vary across patterns. The mining technique in recurring patterns plays an important role for discovering knowledge pertaining to seasonal or temporal associations between events. Most existing researches focus on discovering the recurring patterns in transaction. However, these researches for mining recurring patterns cannot discover recurring events across multiple transactions (inter-transaction) which often appears in many real-world applications such as the stock exchange market, social network, etc. In this study, the proposed algorithm, namely, CP-growth can efficiently perform in discovering the recurring patterns within inter-transaction. Besides, an efficient pruning technique to reduce the computational cost of discovering recurring patterns is developed in CP-growth algorithm. Experimental results show that recurring patterns can be useful in multiple transactions and the proposed algorithm, namely, CP-growth is efficient.

scholarly journals Uso de las TIC y redes sociales para vender café colombiano [ICTs and Social Media for Colombian coffee sells]

2012 ◽  
Author(s):  
Diego López Cardona ◽  
Jaime Hernán González Gómez
Keyword(s):  
New York ◽  
Social Network ◽  
Web 2.0 ◽  
Stock Exchange ◽  
Central Zone ◽  
Web Pages ◽  
New York Stock Exchange ◽  
Redes Sociales ◽  
York Stock Exchange ◽  
Distribution Chain

Resumen El artículo presenta los resultados de consultar por las Tecnologías de la Información y Comunicación (TIC) y Redes Sociales que emplean los productores y comercializadores del café colombiano, realizado con 100 caficultores de la zona central del país cafetero, para promocionar o vender su café y consultar por las medidas cafeteras que se suceden a diario, lo mismo que la revisión de 150 páginas web de empresas vendedoras del grano con algún valor agregado. Los cafeteros colombianos utilizan TIC y Redes Sociales, especialmente para el ocio; algunos pocos comercializadores medianos o grandes, utilizan Internet para documentación e información útil para el caso, especialmente sobre la variación del dólar y el precio internacional del café en la bolsa de Nueva York. Los productores que agregan algún valor a la cadena como tostar y moler el café adicionando una marca regional, utilizan la web 1.0 para promocionarse. Algunos acuden a la web 2.0, pero su potencial continúa insuficientemente explotado. Palabras claveComercializadores, Productores, Redes Sociales, TIC, Web 1.0, Web 2.0    Abstract This article shows the achievements of a survey about the use of ICT’s and social network among Colombian coffee growers and merchandisers. In the central zone of coffee country, we make an interview to 100 coffee growers and merchandisers about how much uses virtual methods in sell or/and promotion of the added values of his product. 150 web pages are analyzed also in the mentioned survey. Colombian coffee growers and merchandisers use ICT’s and social networks especially for leisure. Some large and medium sized traders use Internet for documentation and useful information about dollar variations and international coffee prices in the New York Stock Exchange. The growers who add some value in the distribution chain as roast and grind or adding a regional distinctive brand, uses web 1.0 only to promote his. Others sometimes went to web 2.0, but his potential is still low well spent.Keywords Growers, Merchandisers, ICT, Social Network, Web 1.0, Web 2.0 

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data
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