scholarly journals Network analysis as an alternative way to interpret constitutions

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259461
Author(s):  
Rafael Silveira e Silva
Keyword(s):  
Network Analysis ◽  
The Other ◽  
Analysis Methodology ◽  
Sequential Structure ◽  
Interpretative Model

This article aims to identify networks of constitutional text structured in an imperceptible way. Constitutions has the power to reveal how its devices “dialogue” with each other, forming their own communicative communities. With the help from the network analysis methodology, an interpretative model of textual mapping is proposed based on internal references between the provisions of one Constitution. We use the Brazilian Constitution, whose text is very detailed, analytical and deals with various issues. As a result, a network was identified that included 174 connections between 95 articles of the Constitution and the existence of normative communities that share codes or communicative standards. The study demonstrates the strong possibility to found structuring axis of this communities and relates to the other issues that have reached constitutional stature, showing that the complexity of some Constitutions can be observed beyond its logical sequential structure.

Keeping the Vision Alive: The Role of Networks in National Memorial Building A Case Study of the Vietnam Women’s Memorial and the Black Revolutionary War Patriots Memorial

Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris
Keyword(s):  
Network Analysis ◽  
Revolutionary War ◽  
The Other ◽  
Perceived Popularity ◽  
National Mall ◽  
Compare And Contrast

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.

scholarly journals A New Methodology to Study Street Accessibility: A Case Study of Avila (Spain)

2021 ◽  
Vol 10 (7) ◽  
pp. 491
Author(s):  
Manuel Curado ◽  
Rocio Rodriguez ◽  
Manuel Jimenez ◽  
Leandro Tortosa ◽  
Jose F. Vicent
Keyword(s):  
Network Analysis ◽  
The Other ◽  
Centrality Measures ◽  
Innovative Behavior ◽  
Street Network ◽  
Commercial Activity ◽  
Determining Factors ◽  
Combine Network ◽  
The City

Taking into account that accessibility is one of the most strategic and determining factors in economic models and that accessibility and tourism affect each other, we can say that the study and improvement of one of them involved the development of the other. Using network analysis, this study presents an algorithm for labeling the difficulty of the streets of a city using different accessibility parameters. We combine network structure and accessibility factors to explore the association between innovative behavior within the street network, and the relationships with the commercial activity in a city. Finally, we present a case study of the city of Avila, locating the most inaccessible areas of the city using centrality measures and analyzing the effects, in terms of accessibility, on the commerce and services of the city.

Top Museums on Instagram

2019 ◽  
Vol 3 (2) ◽  
pp. 18-42 ◽  
Author(s):  
Vasiliki G. Vrana ◽  
Dimitrios A. Kydros ◽  
Evangelos C. Kehris ◽  
Anastasios-Ioannis T. Theocharidis ◽  
George I. Kavavasilis
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Small World ◽  
Marketing Strategies ◽  
The Other ◽  
Small World Network ◽  
Scale Free ◽  
Centrality Metrics ◽  
Photo Sharing ◽  
Visualization Algorithms

Pictures speak louder than words. In this fast-moving world where people hardly have time to read anything, photo-sharing sites become more and more popular. Instagram is being used by millions of people and has created a “sharing ecosystem” that also encourages curation, expression, and produces feedback. Museums are moving quickly to integrate Instagram into their marketing strategies, provide information, engage with audience and connect to other museums Instagram accounts. Taking into consideration that people may not see museum accounts in the same way that the other museum accounts do, the article first describes accounts' performance of the top, most visited museums worldwide and next investigates their interconnection. The analysis uses techniques from social network analysis, including visualization algorithms and calculations of well-established metrics. The research reveals the most important modes of the network by calculating the appropriate centrality metrics and shows that the network formed by the museum Instagram accounts is a scale–free small world network.

scholarly journals Application of social network analysis for determining the suitable social media influencers

2021 ◽  
Vol 10 (6) ◽  
pp. 348-354
Author(s):  
Mochamad Yudha Febrianta ◽  
Yusditira Yusditira ◽  
Sri Widianesty
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Marketing Strategy ◽  
Marketing Strategies ◽  
The Other ◽  
Social Media Marketing ◽  
Other Hand ◽  
The Social

Virtual Hotel Operator (VHO) trend is growing rapidly, especially in Indonesia. Two of the most popular VHO in Indonesia are OYO and RedDoorz, both have been competing to attain the first position. Both OYO and RedDoorz have their own social media marketing strategies. For example, OYO persuades other conventional hotels to collaborate and use the OYO platform in their businesses. On the other hand, RedDoorz was recorded as the most visited Virtual Hotel Operator Platform in 2019, based on the data of Konsumen Jakpat 2019. OYO and RedDoorz also utilize social media to promote their services such as Instagram and Twitter. For advertising their businesses in social media, OYO and RedDoorz often use some social media influencers or known as influencer social media marketing. Influencers should be able to effectively deliver the messages and influence people’s decisions to use the products or services they advertise. This study aims to further explore the social media marketing strategy employed by OYO and RedDoorz. The results of Social Network Analysis by using “oyoindonesia” and ‘reddoorz’ as keywords in social media Twitter showed that RedDoorz has a bigger social network and more users involved in spreading their information than OYO. On the other hand, OYO's official account on Twitter is more efficient in performing its function as marketing media.

scholarly journals Eastern Borderland of the European Union in the Process of Networking, as Exemplified by the Polish-Belarusian Cross-Border Cooperation

2018 ◽  
Vol 11 (1) ◽  
pp. 34-50
Author(s):  
Sławomir Partycki ◽  
Dawid Błaszczak
Keyword(s):  
European Union ◽  
Network Analysis ◽  
International Relations ◽  
The Other ◽  
The European Union ◽  
Cross Border ◽  
Cooperation Network ◽  
State Projects ◽  
Cross Border Cooperation ◽  
Key Nodes

Abstract Summary Subject and purpose of work: The purpose of the study is to analyse the structure and the relation of the Polish-Belarusian cross-border cooperation network, to identify the key nodes in the network, to analyse the dynamics of connections between the actors, and to identify the most important changes in the structure of the network. Materials and methods: The article quotes the results of analyses of cross-border projects from 2004- 2017. The analysis includes projects completed, applicants, and partners of projects. The network analysis was carried out using Ucinet and NetDraw software. Results: The structure of the Polish-Belarusian cooperation is dominated by several large nodes, on the other hand there are many micronetworks - of three or four nodes, which are connected with each other. Conclusions: The Polish-Belarusian cooperation is of great importance for the international relations of the Polish state. Projects carried out by entities located at the border strengthen the cooperation, bringing a number of measurable benefits (hard and soft), depending on nature of the projects, as well as frequency and scale of the undertaken activities.

Abstract P184: Effect of Acute Stroke Care Hospital Networks in Korea

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Jihoon Kang ◽  
Seong Eun Kim ◽  
Hyunjoo Song ◽  
Hee-joon Bae
Keyword(s):  
Network Analysis ◽  
Acute Stroke ◽  
Stroke Care ◽  
The Other ◽  
Care Hospital ◽  
Initial Visit ◽  
Analysis Method ◽  
Stroke Patients ◽  
Acute Stroke Care ◽  
Hospital Networks

Purpose: Stroke patients generally transport stroke patients either to nearest stroke hospital with secondary transfers or to hub hospitals in selective cases. This study aimed to determine the stroke community of close networks and to evaluate their role for the access the endovascular treatment (EVT). Methods: Using the nationwide acute stroke hospital (ASH) surveillance data assessed the major quality indicators of all stroke patients of South Korea, triage information both initial visit and secondary interhospital transfers were extracted according to the hospitals. Based on them, stroke community with dense linkages were partitioned using the network-based Louvain algorithm. The hierarchical model estimated the function of stroke community for the EVT. Results: For 6-month surveying period, 19113 subjects admitted to the 246 ASHs. Of them, 1831 (9.6%) were transferred from 763 adjacent facilities not ASH, while 1283 (6.7%) from the other ASHs. The algorithm determined the 113 stroke communities where composed median 7 hospitals (2 ASHs and 5 adjacent facilities) and treated about 30 subjects per month. Most of communities formed the spindle shape with higher centralization index and located within 150 Km (Figure). Stroke communities significantly affected 11% of EVT after adjustments. Conclusions: Network analysis method effectively contoured the high centralizing stroke communities and helped the functions on the EVT accessibility.

Introduction

2020 ◽  
pp. 1-29
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Structure ◽  
Research Methods ◽  
The Other ◽  
Traditional Research ◽  
The Social ◽  
Social Realm ◽  
The Impact

The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.

scholarly journals A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model

2019 ◽  
Vol 7 (1) ◽  
pp. 20-51 ◽  
Author(s):  
Philip Leifeld ◽  
Skyler J. Cranmer
Keyword(s):  
Network Analysis ◽  
Random Graph ◽  
Graph Model ◽  
Real Data ◽  
The Other ◽  
Exponential Random Graph Model ◽  
Empirical Comparison ◽  
Random Graph Model ◽  
Exponential Random Graph ◽  
Longitudinal Network Analysis

AbstractThe temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis. We compare these models theoretically, via simulation, and through a real-data example in order to assess their relative strengths and weaknesses. Though we do not aim to make a general claim about either being superior to the other across all specifications, we highlight several theoretical differences the analyst might consider and find that with some specifications, the two models behave very similarly, while each model out-predicts the other one the more the specific assumptions of the respective model are met.

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