The SAGE Handbook of Social Network Analysis

Scott, John; Carrington, Peter J.

doi:10.4135/9781446294413

Cited by 1,210 publications

(1,438 citation statements)

References 136 publications

(160 reference statements)

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“…Social network analysis is centred on understanding what Scott describes as "relational data" which captures connections between actors rather than the attributes of actors themselves (attribute data). 83 In this instance, however, the structure of the counter jihad nebula is of less importance to understanding the composition and resultant discourse within CJN than the attributes of those nodes within it, i.e. the extent to which they share in the wider counter jihad discourse.…”

Section: Mapping and Understanding The Counter Jihad Nebulamentioning

confidence: 98%

A Day in the “Swamp”: Understanding Discourse in the Online Counter-Jihad Nebula

Lee

2015

Democracy and Security

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The counter jihad scene can be understood variously as a collection of parties, pundits and movements all linked by a common belief that the West is being subject to takeover by Muslims. In this paper, I seek to improve academic understanding of this collection of movements, parties and ideas by analysing the discourse presented by a collection of online advocates whom I describe as the counter jihad nebula. The findings suggest a need to at least partially re-evaluate the role of the nebula within the wider counter jihad scene as well as the relationship between the wider counter jihad scene and mainstream political discourse as expressed through various media outlets.

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Section: Mapping and Understanding The Counter Jihad Nebulamentioning

confidence: 98%

A Day in the “Swamp”: Understanding Discourse in the Online Counter-Jihad Nebula

Lee

2015

Democracy and Security

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“…It uses primarily the graphic display that consists of nodes representing actors (stakeholders), and lines representing relations (cooperation). Using this concept, network analysis identifies relevant stakeholders, focuses on the connection between them and seeks to form the nature, pattern and implications of the connection between the nodes (Scott, Carrington 2011).…”

Section: Methodsmentioning

confidence: 99%

Innovations and networking fostering tourist destination development in Slovakia

Gajdošík

Gajdošíková

Maráková

et al. 2017

Quaestiones Geographicae

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The paper focuses on the implementation of innovations and networking in the sector of tourism in two Slovak mountain destinations of international significance. The main objective of the paper is to identify and evaluate how innovations and networking contribute to tourist destination development in Slovakia. The implementation of institutional innovation resulted in the establishment of formal and informal networks. The developed networks consist of representatives of all sectors co-ordinating all relevant stakeholders. Formal and informal networks and the collaboration among stakeholders have launched other types of innovations in the tourism sector. The interactions and intensity of relations among stakeholders are analysed by network analysis. Destinations are compared with the network of the same size and density through quantitative network characteristics. Based on empirical research we investigate the impact of networks and innovations on tourist destination development. Due to the synergy effect of networking and implementation of multiple innovations, tourist destination development is observed.

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“…However, such role extraction methods commonly use quantitative structural and behavioral features that may not speak to the nature of a user's role. For example, clustering coefficients and degree distributions quantify the totality of an ego-network's structure, even though it is the specific kinds of interaction patterns within them that reflect one's social role [3]. To overcome this limitation, we next introduce a role extraction method that represents of ego-networks by their conditional triad census.…”

Section: Related Researchmentioning

confidence: 99%

“…The concept is theoretically based on a notion of the user's position in a network of interactions; how one decides to embed themselves among others, based on who they choose to forge relationships with, can explain how they are perceived and their ability to spread information or influence [2]. Such perceptions and abilities factor into why and how a user interacts with others [3]. Practically, the delineation of users by their social role facilitates the analysis and interpretation of complex social networks by simplifying them from interactions among users to interactions among roles [4].…”

Section: Introductionmentioning

confidence: 99%

Triad-Based Role Discovery for Large Social Systems

Doran

2015

Lecture Notes in Computer Science

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Abstract. The social role of a participant in a social system conceptualizes the circumstances under which she chooses to interact with others, making their discovery and analysis important for theoretical and practical purposes. In this paper, we propose a methodology to detect such roles by utilizing the conditional triad censuses of ego-networks. These censuses are a promising tool for social role extraction because they capture the degree to which basic social forces push upon a user to interact with others in a system. Clusters of triad censuses, inferred from network samples that preserve local structural properties, define the social roles. The approach is demonstrated on two large online interaction networks.

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The SAGE Handbook of Social Network Analysis

Cited by 1,210 publications

References 136 publications

A Day in the “Swamp”: Understanding Discourse in the Online Counter-Jihad Nebula

A Day in the “Swamp”: Understanding Discourse in the Online Counter-Jihad Nebula

Innovations and networking fostering tourist destination development in Slovakia

Triad-Based Role Discovery for Large Social Systems

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