Network analysis and social cohesion in watershed co-management, case study: Taleghan region, northern Iran

2014 ◽  
pp. 189-190
Keyword(s):  
Network Analysis ◽  
Social Cohesion ◽  
Northern Iran ◽  
Management Case Study

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 Rules of Risk Management - Case Study of Open Pit Mine

2020 ◽  
Vol 28 ◽  
pp. 764-769
Author(s):  
Snezana Kirin ◽  
Wei Li ◽  
Miodrag Brzaković ◽  
Igor Miljanović ◽  
Aleksandar Sedmak
Keyword(s):  
Risk Management ◽  
Open Pit Mine ◽  
Open Pit ◽  
Management Case Study

scholarly journals “Splendid Isolation”: The reproduction of music industry inequalities in Spotify’s recommendation system

2021 ◽  
pp. 146144482110221
Author(s):  
Tamas Tofalvy ◽  
Júlia Koltai
Keyword(s):  
Network Analysis ◽  
Recommendation System ◽  
Music Industry ◽  
Country Of Origin ◽  
Small Scale ◽  
Primary Determinant ◽  
Scale Network ◽  
Splendid Isolation

In this article, we argue that offline inequalities, such as core–periphery relations of the music industry, are reproduced by streaming platforms. First, we offer an overview of the reproduction of inequalities and core–periphery dynamics in the music industry. Then we illustrate this through a small-scale network analysis case study of Hungarian metal bands’ connections on Spotify. We show that the primary determinant of a given band’s international connectedness in Spotify’s algorithmic ecosystem is their international label connections. Bands on international labels have more reciprocal international connections and are more likely to be recommended based on actual genre similarity. However, bands signed with local labels or self-published tend to have domestic connections and to be paired with other artists by Spotify’s recommendation system according to their country of origin.

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