scholarly journals Network analysis of countries’ partnership in European sports programs: Erasmus+ sport

2020 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Ioannis Dallas ◽  
Ioannis Ntoumanis ◽  
Francesca Karatza ◽  
Georgios Ch. Makris
Keyword(s):  
Data Analysis ◽  
Network Analysis ◽  
Network Theory ◽  
National Characteristics ◽  
Sports Programs ◽  
Sport Programs ◽  
Target Data

In the present work, data analysis of Erasmus+ Sport programs was performed using Network Theory. Funding amounts and partner coun-tries per program are the information of the target data. Developing a Python-based program, a network of countries' partnerships has been developed to examine whether specific countries cooperate more frequently, and which countries participate in more Erasmus+ Sport pro-grams. Thus, some basic indicators of centrality from network theory were calculated, which are presented together with their mathematical interpretation.It has also been studied whether the number of a country's participation in these programs is affected by its economic or social national characteristics. Specifically, GDP, happiness and education indexes are all examined if they affect a country's participation. Finally, given how the funding amount of a program is split between the partner countries, the total amount of funding received by each country for the period 2014-2018 was calculated.  

From synchronization to network theory: A strategy for MEG data analysis

2008 ◽  
Author(s):  
Maide Bucolo ◽  
Federica Di Grazia ◽  
Mattia Frasca ◽  
Francesca Sapuppo ◽  
David Shannahoff-Khalsa
Keyword(s):  
Data Analysis ◽  
Network Theory

scholarly journals A multilevel approach to big data analysis using analytic tools and actor network theory

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Tiko Iyamu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Network Theory ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Actor Network Theory ◽  
Big Data Analysis ◽  
Data Sets ◽  
Multilevel Approach ◽  
Actor Network

Background: Over the years, big data analytics has been statically carried out in a programmed way, which does not allow for translation of data sets from a subjective perspective. This approach affects an understanding of why and how data sets manifest themselves into various forms in the way that they do. This has a negative impact on the accuracy, redundancy and usefulness of data sets, which in turn affects the value of operations and the competitive effectiveness of an organisation. Also, the current single approach lacks a detailed examination of data sets, which big data deserve in order to improve purposefulness and usefulness.Objective: The purpose of this study was to propose a multilevel approach to big data analysis. This includes examining how a sociotechnical theory, the actor network theory (ANT), can be complementarily used with analytic tools for big data analysis.Method: In the study, the qualitative methods were employed from the interpretivist approach perspective.Results: From the findings, a framework that offers big data analytics at two levels, micro- (strategic) and macro- (operational) levels, was developed. Based on the framework, a model was developed, which can be used to guide the analysis of heterogeneous data sets that exist within networks.Conclusion: The multilevel approach ensures a fully detailed analysis, which is intended to increase accuracy, reduce redundancy and put the manipulation and manifestation of data sets into perspectives for improved organisations’ competitiveness.

scholarly journals The South African Banking Director Network: An Investigation Into Interlocking Directorships Using Social Network Analysis (SNA)

2014 ◽  
Vol 13 (5) ◽  
pp. 963
Author(s):  
Burgert A. Senekal ◽  
Karlien Stemmet
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Complex Systems ◽  
South African ◽  
Complex Network ◽  
Network Theory ◽  
Complex Network Theory ◽  
International Trends ◽  
Director Network

The theory of complex systems has gained significant ground in recent years, and with it, complex network theory has become an essential approach to complex systems. This study follows international trends in examining the interlocking South African bank director network using social network analysis (SNA), which is shown to be a highly connected social network that has ties to many South African industries, including healthcare, mining, and education. The most highly connected directors and companies are identified, along with those that are most central to the network, and those that serve important bridging functions in facilitating network coherence. As this study is exploratory, numerous suggestions are also made for further research.

scholarly journals The mutual specification of genres and audiences: Reflective two-mode centralities in person-to-culture data

2017 ◽  
Author(s):  
Omar Lizardo
Keyword(s):  
Network Analysis ◽  
Empirical Analysis ◽  
Network Theory ◽  
Cultural Sociology ◽  
Population Based ◽  
Criterion Validity ◽  
Measurement Framework ◽  
Recent Developments ◽  
Cultural Choices ◽  
The Empirical Analysis

Recent developments at the intersection of cultural sociology and network theory suggest that the relations between persons and the cultural forms they consume can be productively analyzed using conceptual resources and methods adapted from network analysis. In this paper I seek to contribute to this developing line of thinking on the culture-networks link as it pertains to the sociology of taste. I present a general analytic and measurement framework useful for rethinking traditional survey (or population) based data on individuals and their cultural choices as a “two mode” persons X genres network. The proposed methodological tools allow me to develop a set of “reflective” metrics useful for ranking both persons and genres in terms of the pattern of choices and audience composition embedded in the cultural network. The empirical analysis shows that these metrics have both face and criterion validity, allowing us to extract useful information that would remain out of reach of standard quantitative strategies. I close by outlining the analytic and substantive implications of the approach.

Entanglement, Materiality and the Social Organisation of Construction Workers in Classical Athens

2018 ◽  
pp. 512-528
Author(s):  
Diane Harris Cline
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Theory ◽  
Actor Network Theory ◽  
Fifth Century ◽  
Actor Network ◽  
The Social ◽  
Building Program

This chapter views the “Periclean Building Program” through the lens of Actor Network Theory, in order to explore the ways in which the construction of these buildings transformed Athenian society and politics in the fifth century BC. It begins by applying some Actor Network Theory concepts to the process that was involved in getting approval for the building program as described by Thucydides and Plutarch in his Life of Pericles. Actor Network Theory blends entanglement (human-material thing interdependence) with network thinking, so it allows us to reframe our views to include social networks when we think about the political debate and social tensions in Athens that arose from Pericles’s proposal to construct the Parthenon and Propylaea on the Athenian Acropolis, the Telesterion at Eleusis, the Odeon at the base of the South slope of the Acropolis, and the long wall to Peiraeus. Social Network Analysis can model the social networks, and the clusters within them, that existed in mid-fifth century Athens. By using Social Network Analysis we can then show how the construction work itself transformed a fractious city into a harmonious one through sustained, collective efforts that engaged large numbers of lower class citizens, all responding to each other’s needs in a chaine operatoire..

Social Network Analysis

2020 ◽  
pp. 107-117
Author(s):  
Sheik Abdullah A. ◽  
Abiramie Shree T. G. R.
Keyword(s):  
Social Network ◽  
Data Analysis ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Storage ◽  
Social Data ◽  
Cloud Data ◽  
Huge Data ◽  
Cloud Data Storage ◽  
Social Data Analysis

Each day, 2.5 quintillion bytes of data are generated due to our daily activity. It is due to the vast amount of use of the smart mobiles, Cloud data storage, and the Internet of Things. In earlier days, these technologies were utilized by large IT companies and the private sector, but now each person has a high-end smartphone along with the cloud and IoT for the easy storage of data and backup. The analysis of the data generated by social media is a tedious process and involves a lot of techniques. Some tools for social network analysis are: Gephi, Networkx, IGraph, Pajek, Node XL, and cytoscope. Apart from these tools there are various efficient social data analysis algorithms that are far more helpful in doing analytics. The need for and use of social network analysis is very helpful in our current problem of huge data generation. In this chapter, the need for the analysis of social data along with the tools that are needed for the analysis and the techniques that are to be implemented in the field of social data analysis are covered.

PAGeneRN

2020 ◽  
pp. 1052-1075 ◽  
Author(s):  
Dina Elsayad ◽  
A. Ali ◽  
Howida A. Shedeed ◽  
Mohamed F. Tolba
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Network Analysis ◽  
Gene Regulatory Network ◽  
Gene Expression Data ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Expression Data ◽  
Gene Expression Data Analysis ◽  
Gene Regulatory

The gene expression analysis is an important research area of Bioinformatics. The gene expression data analysis aims to understand the genes interacting phenomena, gene functionality and the genes mutations effect. The Gene regulatory network analysis is one of the gene expression data analysis tasks. Gene regulatory network aims to study the genes interactions topological organization. The regulatory network is critical for understanding the pathological phenotypes and the normal cell physiology. There are many researches that focus on gene regulatory network analysis but unfortunately some algorithms are affected by data size. Where, the algorithm runtime is proportional to the data size, therefore, some parallel algorithms are presented to enhance the algorithms runtime and efficiency. This work presents a background, mathematical models and comparisons about gene regulatory networks analysis different techniques. In addition, this work proposes Parallel Architecture for Gene Regulatory Network (PAGeneRN).

The S’ANT Imperative for Realizing the Vision of Healthcare Network Centric Operations

2011 ◽  
pp. 2206-2217
Author(s):  
Nimini Wickramasinghe ◽  
Rajeev K. Bali
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Theory ◽  
Knowledge Building ◽  
Actor Network Theory ◽  
Healthcare Network ◽  
Analysis Tools ◽  
Network Centric Operations ◽  
Tools And Techniques

In the information-intensive environment of healthcare, the networkcentric approach has been proffered as one that allows free and rapid sharing of information and effective knowledge building required for the development of coherent objectives and their rapid attainment. This article asserts that if we are to realize such a vision it is imperative to draw upon strong rich analysis tools and techniques and thus calls for the application of Social Network Analysis combined with Actor-network Theory (S’ANT).

Actor-Network Theory and the Online Investor

2012 ◽  
Vol 4 (2) ◽  
pp. 25-31
Author(s):  
Arthur Adamopoulos ◽  
Martin Dick ◽  
Bill Davey
Keyword(s):  
Network Analysis ◽  
Network Theory ◽  
Actor Network Theory ◽  
Actor Network ◽  
Wide Range ◽  
Human Actors ◽  
Theory Research ◽  
The Way

An actor-network analysis of the way in which online investors use Internet-based services has revealed a phenomenon that is not commonly reported in actor-network theory research. An aspect of the research that emerged from interviews of a wide range of online investors is a peculiar effect of changes in non-human actors on the human actors. In this paper, the authors report on the particular case and postulate that this effect may be found, if looked for, in many other actor-network theory applications.

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