Investigation of major international and Turkish companies via hierarchical methods and bootstrap approach

Kantar, Ersin; Deviren, Bayram; Keskín, Mustafa

doi:10.1140/epjb/e2011-20627-6

Cited by 18 publications

(22 citation statements)

References 67 publications

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“…These networks have been able to successfully describe the topological properties and characteristics of many real-life systems such as multilocus sequence typing for analyses of clonality [41], scientific collaboration in the European framework programs [42], taxonomy of correlations of wind velocity [43], Brazilian term structure interest rates [44], the international hotel industry in Spain [45], and foreign trade [46]. Moreover, the most recent literature has studied networks generated by correlations of stock prices [47][48][49][50][51][52][53][54][55][56][57][58][59][60]. In this paper, we focus on the electricity consumption and the main objective is to characterize the topology and taxonomy of the network of the countries.…”

Section: Author(s)mentioning

confidence: 99%

Hierarchical structure of the countries based on electricity consumption and economic growth

Kantar

Aslan

Deviren

et al. 2016

Physica A: Statistical Mechanics and its Applications

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We investigate the hierarchical structures of countries based on electricity consumption and economic growth by using the real amounts of their consumption over a certain time period. We use of electricity consumption data to detect the topological properties of 60 countries from 1971 to 2008. These countries are divided into three subgroups: low income group, middle income group and high income group countries. Firstly, a relationship between electricity consumption and economic growth is investigated by using the concept of hierarchical structure methods (minimal spanning tree (MST) and hierarchical tree (HT)). Secondly, we perform bootstrap techniques to investigate a value of the statistical reliability to the links of the MST. Finally, we use a clustering linkage procedure in order to observe the cluster structure more clearly. The results of the structural topologies of these trees are as follows: i) we identified different clusters of countries according to their geographical location and economic growth, ii) we found a strong relation between energy consumption and economic growth for all the income groups considered in this study and iii) the results are in good agreement with the causal relationship between electricity consumption and economic growth.

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Section: Author(s)mentioning

confidence: 99%

Hierarchical structure of the countries based on electricity consumption and economic growth

Kantar

Aslan

Deviren

et al. 2016

Physica A: Statistical Mechanics and its Applications

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“…Since the procedures to obtain ALCA have been presented by Tumminello et al [54] and Kantar et al [8,57] in detail, we will not explain its construction in here.…”

Section: A Minimal Spanning Tree and Hierarchical Treesmentioning

confidence: 99%

“…This technique was used to quantify the statistical reliability of hierarchical trees and correlation based networks by Tumminello et al [53][54][55]. Kantar et al also applied the bootstrap technique to investigate the value of statistical reliability to the links on the hierarchical structures of Turkey's foreign trade [8] and major international and Turkish companies [57].…”

Section: B the Measure Of Link Reliability With Bootstrap Techniquementioning

confidence: 99%

“…The topology of correlation networks among 34 major currencies using the concept of an MST and HT, and bootstrap replicas of data studied by Keskin et al [33]. Moreover, Kantar et al applied the bootstrap technique to investigate the topological properties of Turkey's foreign trade [8] as well as the major international and Turkish companies [57].…”

Section: Introductionmentioning

confidence: 99%

“…Useful examples of correlation based networks apart from the minimal spanning tree are the planar maximally filtered graph [59] and the average linkage minimal spanning tree [8,55,57].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hierarchical structure of the European countries based on debts as a percentage of GDP during the 2000–2011 period

Kantar

Deviren

Keskín

2014

Physica A: Statistical Mechanics and its Applications

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We investigate hierarchical structures of the European countries by using debt as a percentage of Gross Domestic Product (GDP) of the countries as they change over a certain period of time. We obtain the topological properties among the countries based on debt as a percentage of GDP of European countries over the period 2000-2011 by using the concept of hierarchical structure methods (minimal spanning tree, (MST) and hierarchical tree, (HT)). This period is also divided into two sub-periods related to 2004 enlargement of the European Union, namely 2000-2004 and 2005-2011, in order to test various time-window and observe the temporal evolution. The bootstrap techniques is applied to see a value of statistical reliability of the links of the MSTs and HTs. The clustering linkage procedure is also used to observe the cluster structure more clearly. From the structural topologies of these trees, we identify different clusters of countries according to their level of debts and economic ties. Our results show that by the debt crisis, the less and most affected Eurozone's economies are formed as a cluster with each other in the MSTs and hierarchical trees.

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Cohesion and segregation in the value migration network: Evidence from network partitioning based on sector classification and clustering

Siudak

2023

Soc. Netw. Anal. Min.

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Cluster structure detection of the network is a basic problem of complex network analysis. This study investigates the structure of the value migration network using data from 499 stocks listed in the S&P500 as of the end of 2021. An examination is carried out whether the process of value migration creates a cluster structure in the network of companies according to economic activity. Specifically, the cohesion and segregation of the extracted modules in the network division according to (i) sector classification, (ii) community division, and (iii) network clustering decomposition are assessed. The results of this study show that the sector classification of the value migration network has a non-cohesive structure, which means that the flow of value in the financial market occurs between companies from various industries. Moreover, the divisions of the value migration network based on community detection and clustering algorithm are characterized by intra-cluster similarity between the vertices and have a strong community structure. The structure of the network division into modules corresponding to the classification of economic sectors differs significantly from the partition based on the algorithms applied.

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Investigation of major international and Turkish companies via hierarchical methods and bootstrap approach

Cited by 18 publications

References 67 publications

Hierarchical structure of the countries based on electricity consumption and economic growth

Hierarchical structure of the countries based on electricity consumption and economic growth

Hierarchical structure of the European countries based on debts as a percentage of GDP during the 2000–2011 period

Cohesion and segregation in the value migration network: Evidence from network partitioning based on sector classification and clustering

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