Small-World Network Analysis and Partitioning (SNAP) Framework

2011 ◽  
pp. 1831-1831
Author(s):  
Jack Dongarra ◽  
Piotr Luszczek ◽  
Felix Wolf ◽  
Jesper Larsson Träff ◽  
Patrice Quinton ◽  
...  
Keyword(s):  
Network Analysis ◽  
Small World ◽  
Small World Network

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.

ALTERED FUNCTIONAL CONNECTIVITY IN SCHIZOPHRENIA: A SMALL WORLD NETWORK ANALYSIS OF RESTING fMRI

2008 ◽  
Vol 102 (1-3) ◽  
pp. 9 ◽  
Author(s):  
Kelvin Lim ◽  
Bryon Mueller ◽  
Jazmin Camchong ◽  
Chris Bell
Keyword(s):  
Functional Connectivity ◽  
Network Analysis ◽  
Small World ◽  
Small World Network

Homer's Iliad – A Social Network Analytic Approach

2015 ◽  
Vol 9 (1) ◽  
pp. 115-132 ◽  
Author(s):  
Dimitrios Kydros ◽  
Panagiotis Notopoulos ◽  
Georgios Exarchos
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Numerical Results ◽  
Analytic Approach ◽  
Connected Components ◽  
Original Text ◽  
Small World Network

In this paper we provide some insights in Homer's Iliad from the perspective of social network analysis. We use the original text and other public available data to create a social network (i.e. a graph) that comprises of all actors in the Iliad together with their interactions. We present some visualizations of these data and discuss concepts like connectivity, connected components and groupings. Furthermore, we calculate some well-established metrics, coming from social network analysis in this social network and discuss the numerical results. These results indicate that the Iliadic network is a small-world network, rather dissasortative and relatively easy to disconnect.

Top Museums on Instagram

2021 ◽  
pp. 1029-1055
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.

P2-070: Increased randomness of functional brain networks in Alzheimer's disease: ‘small-world' network analysis of non-linear functional connectivity

2008 ◽  
Vol 4 ◽  
pp. T387-T388
Author(s):  
Ernesto J. Sanz-Arigita ◽  
Menno M. Schoonheim ◽  
Jeske S. Damoiseaux ◽  
Serge A.R.B. Rombouts ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Functional Connectivity ◽  
Network Analysis ◽  
Linear Functional ◽  
Brain Networks ◽  
Small World ◽  
Small World Network ◽  
Functional Brain ◽  
Non Linear ◽  
Functional Brain Networks

IC-P3-211: Increased randomness of functional brain networks in AD: ‘Small-world’ network analysis of non-linear functional connectivity

2008 ◽  
Vol 4 ◽  
pp. T90-T91
Author(s):  
Ernesto J. Sanz-Arigita ◽  
Menno M. Schoonheim ◽  
Jeske S. Damoiseaux ◽  
Serge A.R.B. Rombouts ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Network Analysis ◽  
Linear Functional ◽  
Brain Networks ◽  
Small World ◽  
Small World Network ◽  
Functional Brain ◽  
Non Linear ◽  
Functional Brain Networks

scholarly journals Network Structure in Service Ecosystems: An Empirical Study in the Region of Campania

2019 ◽  
Vol 14 (10) ◽  
pp. 61
Author(s):  
Marco Ferretti ◽  
Eva Panetti ◽  
Adele Parmentola ◽  
Annamaria Sabetta
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Empirical Study ◽  
Network Structure ◽  
Southern Italy ◽  
Small World ◽  
Small World Network ◽  
Regional Service ◽  
Service Ecosystems

The objective of this study is that of exploring the relational dimension of service ecosystems with specific regard to the structure of their networks, by conducting a social network analysis. In particular, this work attempts to primarily unveil which types of network configurations (i.e., open, closed or small words) are typical of service ecosystems. Secondly, we explore the nature of the most central actors in these networks. To these purposes, we conduct an empirical study in the Region of Campania (Southern Italy) by analyzing six regional service ecosystems in different sectors. We gathered data from the PONREC platform (Programma Operativo Nazionale "Ricerca e Competitività" 2007-2013) in order to map links among the actors in all six ecosystems. Main results show that universities and research institutions occupy brokering positions within the service ecosystems’ networks. This, in turn, suggests the efficacy of public regional initiatives in favoring the establishment of forms of collaboration between organizations of different nature. Finally, our findings show that service ecosystems are characterized by open and small world network configurations. This paper contributes to the literature focused on service ecosystems’ networks by providing an empirical and quantitative approach to the analysis of their relational characteristics.

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