scholarly journals Dynamic, small-world social network generation through local agent interactions

Complexity ◽  
2014 ◽  
Vol 19 (6) ◽  
pp. 44-53 ◽  
Author(s):  
Robert De Caux ◽  
Christopher Smith ◽  
Dominic Kniveton ◽  
Richard Black ◽  
Andrew Philippides
Keyword(s):  
Social Network ◽  
Small World ◽  
Network Generation ◽  
Agent Interactions ◽  
Local Agent

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.

BEHAVIORAL FOUNDATIONS AND EQUILIBRIUM NOTIONS FOR SOCIAL NETWORK FORMATION PROCESSES

2004 ◽  
Vol 07 (01) ◽  
pp. 77-92 ◽  
Author(s):  
NICOLAS CARAYOL ◽  
PASCALE ROUX
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Formation Process ◽  
Network Formation ◽  
Small World ◽  
Payoff Function ◽  
Formation Processes ◽  
Limiting Distributions ◽  
Stochastically Stable ◽  
Social Network Formation

This paper develops a framework for studying social network formation. Partly built upon a formalism used in theoretical economics, the network formation process we introduce is locally driven by agents who maximize a given individual payoff function. We examine two simple models and observe the limiting distributions of stochastically stable networks. We find that these networks share some of the features observed for social networks. In particular, we find critical values of the parameters for which the selected networks exhibit small world properties.

Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance

2016 ◽  
Vol 60 ◽  
pp. 312-321 ◽  
Author(s):  
Luis de-Marcos ◽  
Eva García-López ◽  
Antonio García-Cabot ◽  
José-Amelio Medina-Merodio ◽  
Adrián Domínguez ◽  
...  
Keyword(s):  
Academic Performance ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
E Learning ◽  
Network Metrics ◽  
Predictors Of Academic Performance

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.

scholarly journals Analysis of Social Network Generation Methods for Home Location Estimation in Japan

2017 ◽  
Vol 32 (1) ◽  
pp. WII-M_1-11
Author(s):  
Shiori Hironaka ◽  
Mitsuo Yoshida ◽  
Masayuki Okabe ◽  
Kyoji Umemura
Keyword(s):  
Social Network ◽  
Location Estimation ◽  
Network Generation ◽  
Home Location

A Manageable Small World for Collaborative Enterprises Social Network

2010 ◽  
Author(s):  
Shaohua Liu ◽  
Yinglong Ma ◽  
Tianlu Mao ◽  
Junsheng Yu ◽  
Siyu Liu ◽  
...  
Keyword(s):  
Social Network ◽  
Small World

scholarly journals EMERGING STRUCTURES IN SOCIAL NETWORKS GUIDED BY OPINIONS' EXCHANGES

2011 ◽  
Vol 14 (01) ◽  
pp. 13-30 ◽  
Author(s):  
TIMOTEO CARLETTI ◽  
SIMONE RIGHI ◽  
DUCCIO FANELLI
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relationships ◽  
Small World ◽  
Simplified Model ◽  
Weak Ties ◽  
Interacting Agents ◽  
The Social

In this paper, we show that the small world and weak ties phenomena can spontaneously emerge in a social network of interacting agents. This dynamics is simulated in the framework of a simplified model of opinion diffusion in an evolving social network where agents are made to interact, possibly update their beliefs and modify the social relationships according to the opinion exchange.

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.

Sign in / Sign up

Export Citation Format

Share Document