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Using Multivariate Statistics

Social Network Analysis

The theory of affordances

What is Twitter

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodeling, the analysis of diffusion through networks, the analysis of affiliation or “two-mode” networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphic techniques for exploring network data, and software for the analysis of social networks.

/pdf/models-and-methods-in-social-network-analysis-46f9pqfov7.pdf

Models and methods in social network analysis

International festivals as experience production systems

Research suggests that festivals can promote a destination via online word-of-mouth (eWOM) on social media, even though the nature of this effect is not yet fully understood. Using a combination of Social Network Analysis and text analysis (qualitative and quantitative), this article examines eWOM at a tourism destination (Bournemouth) when a festival (Bournemouth Air Show 2013) is staged. The Communities of Interest of eWOM interactions on Twitter were captured and analysed to understand the structure and content of eWOM. Findings indicate that key users are usually already prominent individuals and that festivals act as both a direct generator as well as an online animator of eWOM. Finally, network size, span and scope may be useful indicators when comparing eWOM networks.

/pdf/community-crosstalk-an-exploratory-analysis-of-destination-4inaj9szqa.pdf

Community crosstalk: an exploratory analysis of destination and festival eWOM on Twitter

This study examines the evolving impacts of COVID-19 vaccination intentions and vaccine hesitancy on travel intentions. The study also examines the sociodemographic factors that can influence willi...

https://www.tandfonline.com/doi/pdf/10.1080/02642069.2021.1938555

Evolving impacts of COVID-19 vaccination intentions on travel intentions

https://cyberleninka.org/article/n/1495052.pdf

Destination eWOM: a macro and meso network approach?

The purpose of this article is to examine the network structure of online stakeholder discussions in the planning stage of a UK public megaproject, High Speed Rail 2. By providing new rail connections between London, Birmingham, and Manchester, this project is highly complex as it is embedded in a network of stakeholder relationships that may support or oppose the project. Data drawn from Twitter were analyzed using Social Network Analysis and inductive analysis of user profiles and content. Findings indicate that the majority of online stakeholders oppose the project and form stable clusters. Larger clusters within this network may attempt to deploy power directly in the form of a manipulation strategy, whereas smaller clusters may seek to ally themselves with more powerful groups, a pathway strategy. Overall, the methodology is a useful complement to existing methods and may provide real-time insights into the complex, evolving discussions around megaprojects.

/pdf/online-stakeholder-interactions-in-the-early-stage-of-a-2q6t6i66rv.pdf

Nigel L. Williams

Papers

International festivals as experience production systems

Community crosstalk: an exploratory analysis of destination and festival eWOM on Twitter

Evolving impacts of COVID-19 vaccination intentions on travel intentions

Destination eWOM: a macro and meso network approach?

Online Stakeholder Interactions in the Early Stage of a Megaproject