Social network analysis of character interaction in the Stargate and Star Trek television series

2017 ◽  
Vol 28 (02) ◽  
pp. 1750017 ◽  
Author(s):  
Melody Shi Ai Tan ◽  
Ephrance Abu Ujum ◽  
Kuru Ratnavelu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Science Fiction ◽  
Small World ◽  
Spectral Graph Theory ◽  
Star Trek ◽  
Television Series ◽  
And Topology ◽  
Underlying Network

This paper undertakes a social network analysis of two science fiction television series, Stargate and Star Trek. Television series convey stories in the form of character interaction, which can be represented as “character networks”. We connect each pair of characters that exchanged spoken dialogue in any given scene demarcated in the television series transcripts. These networks are then used to characterize the overall structure and topology of each series. We find that the character networks of both series have similar structure and topology to that found in previous work on mythological and fictional networks. The character networks exhibit the small-world effects but found no significant support for power-law. Since the progression of an episode depends to a large extent on the interaction between each of its characters, the underlying network structure tells us something about the complexity of that episode’s storyline. We assessed the complexity using techniques from spectral graph theory. We found that the episode networks are structured either as (1) closed networks, (2) those containing bottlenecks that connect otherwise disconnected clusters or (3) a mixture of both.

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.

Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tags

2014 ◽  
Vol 38 (2) ◽  
pp. 232-247 ◽  
Author(s):  
Ma Feicheng ◽  
Li Yating
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Online Resources ◽  
Social Tagging ◽  
The Internet ◽  
Content Type ◽  
Categorical Analysis ◽  
Scale Free

Purpose – This paper aims to explore the characteristics of the co-occurrence network of online tags and propose new approaches of applying social network analysis by utilising social tagging in order to organise data. Design/methodology/approach – The authors collected online resources labelled “tag” from 7 November 2004 to 31 October 2011 from the CiteULike website, comprising 684 papers and their URLs, titles and data on tagging (users, times, and tags). They examined the co-occurrence network of online tags by using the analyses of social networks, including the analysis of coherence, the analysis of centricity and core to periphery categorical analysis. Findings – Some features of the co-occurrence of online tags are as follows: the internet is subject to the “small world” phenomenon, as well as being “scale-free”. The structure of the internet reflects stable areas of core knowledge. In addition to five possible applications of social network analysis, social tagging has the greatest significance in organising online resources. Originality/value – This research finds that co-occurrence of tags online is an effective way to organise and index data. Some suggestions are provided on the organisation of online resources.

scholarly journals Small Worlds e Board Interlocking no Brasil: Estudo Longitudinal das Redes Corporativas, 1997-2007

2011 ◽  
Vol 9 (4) ◽  
pp. 465
Author(s):  
Wesley Mendes-da-Silva
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Research Field ◽  
Board Members ◽  
World Model ◽  
Corporate Network ◽  
Official Data ◽  
Do So

Social Network Analysis (SNA) is an emerging research field in finance, above all in Brazil. This work is pioneering in that it is supported by reference to different areas of knowledge: social network analysis and corporate governance, for dealing with a similarly emerging topic in finance; interlocking boards, the purpose being to check the validity of the small-world model in the Brazilian capital market, and the existence of associations between the positioning of the firm in the network of corporate relationships and its worth. To do so official data relating to more than 400 companies listed in Brazil between 1997 and 2007 were used. The main results obtained suggest that the configuration of the networks of relationships between board members and companies reflects the small-world model. Furthermore, there seems to be a significant relationship between the firm’s centrality and its worth, described according to an “inverted U” curve, which suggests the existence of optimum values of social prominence in the corporate network.

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.

scholarly journals Una mirada hacia comunidades de aprendizaje con lentes apropiadas: sugerencias e ideas desde ciencia de redes

2013 ◽  
Vol 14 (1) ◽  
pp. 32-50
Author(s):  
Fabio Nascimbeni
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Random Networks ◽  
Weak Ties ◽  
Small World Networks ◽  
Educación A Distancia ◽  
Aprendizaje Colaborativo

El nivel de network thinking en la educación - definido como la capacidad de considerar a los sistemas de aprendizaje centrándose en las relaciones entre los actores involucrados (principalmente profesores y alumnos) y no sólo en las características de los mismos – esta sin duda creciendo, con intensidades diferentes en función de el sector educativo, pero no al ritmo necesario. En el artículo argumentamos como la investigación y las prácticas educativas deben aumentar su capacidad de mirar a las comunidades de aprendizaje a través de “lentes” capaces de ver a las redes, apoyadas por métodos apropiados como la Social Network Analysis. La aplicación de la Social Network Analysis a la educación, especialmente en el caso de la educación a distancia, puede facilitar la comprensión de los patrones de interacción de los alumnos entre sí y con los profesores, y puede facilitar la consolidación de los nuevos enfoques para comprender los mecanismos de aprendizaje colaborativo. El artículo presenta y discute - desde un punto de vista educacional - un breve resumen de las principales aportaciones teóricas y prácticas de la Social Network Analysis - como las teorías de los "random networks", de los "small-world networks " o los "weak ties" - junto con algunas propiedades generales de las redes, pensando que el dominio de estas dinámicas es muy importante para los investigadores y profesionales de la educación, para entender y apoyar el aprendizaje colaborativo de manera significativa.

Using Stranger Small World Networks for E-Marketing in Academia

2014 ◽  
pp. 192-230
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Small World Networks ◽  
Crowd Sourcing ◽  
Virtual Collaboration ◽  
Development Team ◽  
Learning And Collaboration

In an institution of higher education, there are a number of projects that provide opportunities for online learning and collaboration. The success of a project often requires the participation of registered students, crowd-sourcing partners, Website visitors, and other types of virtual collaboration. To this end, many development teams use various forms of outreach to publicize the online degree, online credit course, short course, collaborative project, or call for project proposals (publication project). A common form of outreach involves the affordances of Social Web 2.0 connectivity: electronic marketing or e-marketing. The analysis of stranger small world networks enhances the efficacy of e-marketing endeavors by helping to identify individuals and social networks that may have a vested interest in a project; targeted outreach may enhance the low response rates from traditional “cold calls” and “break the ice” between people who may benefit from a bridge between each other’s social networks. Social network analysis may be applied to marketing to stranger social networks by helping a development team see which individuals and groups to target and what strategies to use—to expand the ties and capabilities of the development team and the university beyond known and familiar groups. This chapter includes some takeaway insights from the applied Social Network Analysis (SNA) and electronic SNA.

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