SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks

2008 ◽  
Author(s):  
David A. Bader ◽  
Kamesh Madduri
Keyword(s):  
Network Analysis ◽  
Open Source ◽  
Large Scale ◽  
Small World ◽  
Small World Network ◽  
Large Scale Networks ◽  
Parallel Graph

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.

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

scholarly journals Scientific authorships and collaboration network analysis on Chagas disease: papers indexed in PubMed (1940-2009)

2012 ◽  
Vol 54 (4) ◽  
pp. 219-228 ◽  
Author(s):  
Gregorio González-Alcaide ◽  
Jinseo Park ◽  
Charles Huamaní ◽  
Joaquín Gascón ◽  
José Manuel Ramos
Keyword(s):  
Network Analysis ◽  
Chagas Disease ◽  
Large Scale ◽  
Critical Mass ◽  
Small World ◽  
Collaboration Network ◽  
Clustering Methods ◽  
Research Groups ◽  
Main Research ◽  
Research Initiatives

Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the area by applying clustering methods. We then analyzed 13,989 papers produced by 21,350 authors. Collaboration among authors dramatically increased over the study period, reaching an average of 6.2 authors per paper in the last five-year period. Applying a threshold of collaboration of five or more papers signed in co-authorship, we identified 148 consolidated research groups made up of 1,750 authors. The Chagas disease network identified constitutes a "small world," characterized by a high degree of clustering and a notably high number of Brazilian researchers.

Open-Source Solution to Secure E-Government Services

2011 ◽  
pp. 1300-1305
Author(s):  
C. A. Ardagna
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Security Requirements ◽  
The Public ◽  
Security Environment ◽  
Public Responsibility ◽  
Large Scale Networks ◽  
Standard Integration

Nowadays, a global information infrastructure connects remote parties through the use of large scale networks, and many companies focus on developing e-services based on remote resources and on interactions between remote parties. In such a context, e-government (e-gov) systems became of paramount importance for the public administration, and many ongoing development projects are targeted on their implementation, security, and release (Bettini, Jajodia, Sean Wang, & Wijesekera, 2002). For open-source software to play an important role in this scenario, three main technological requirements must be fulfilled: (1) the identification and optimization of de facto standards for building e-gov open-source software components, (2) the adoption of open-source techniques to secure e-gov services and (3) the standard integration of these components into an open-source middleware layer, capable of conveying a completely open-source e-gov solution. This article highlights that e-gov systems should be constructed on an open-source middleware layer, providing full public responsibility in its development. The role of open-source middleware for secure e-gov services deployment is discussed, focusing on implementing a security environment without custom programming. An alternative solution is given and consists of the adoption of a stand-alone architecture that fulfils all security requirements.

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
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