Vasiliki Vrana
Biographic Data
| ID | 5081391 |
|---|---|
| NAME | Vasiliki Vrana |
| GIVEN NAMES | Vasiliki |
| FAMILY NAME | Vrana |
| SIGNATURE | VRANA V |
| AFFILIATIONS | International Hellenic University |
| ORCID | 0000-0002-5385-0944 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Strategic Innovative Marketing and Tourism
A Twitter network analysis of European museums
Increasing numbers of museums use Twitter to attract visitors, engage effectively with them and facilitate the construction and strengthening of communities, where visitors are creating their own authentic, trustworthy content. This paper creates and analyzes the network of Twitter users that talk about top European museums (based on TripAdvisor’s’ ranking) and produces some semantic analysis of the actual content of tweets. Findings show that th…
Community characteristics of Twitter followers in EU-countries governmental accounts
The paper explores the mentions/replies networks of 56 ministries Twitter accounts in 17 EU countries to find out whether followers of governmental accounts form communities. By recording clustering coefficient, degree-skewness, average shortest path and assortativity, this research explores whether the properties of small-worlds, scale-free networks and homophily are present. These indices are then associated with Twitter performance of the acco…
A Twitter network analysis of European museums
Increasing numbers of museums use Twitter to attract visitors, engage effectively with them and facilitate the construction and strengthening of communities, where visitors are creating their own authentic, trustworthy content. This paper creates and analyzes the network of Twitter users that talk about top European museums (based on TripAdvisor’s’ ranking) and produces some semantic analysis of the actual content of tweets. Findings show that th…
Community characteristics of Twitter followers in EU-countries governmental accounts
The paper explores the mentions/replies networks of 56 ministries Twitter accounts in 17 EU countries to find out whether followers of governmental accounts form communities. By recording clustering coefficient, degree-skewness, average shortest path and assortativity, this research explores whether the properties of small-worlds, scale-free networks and homophily are present. These indices are then associated with Twitter performance of the acco…
A Twitter network analysis of European museums
Increasing numbers of museums use Twitter to attract visitors, engage effectively with them and facilitate the construction and strengthening of communities, where visitors are creating their own authentic, trustworthy content. This paper creates and analyzes the network of Twitter users that talk about top European museums (based on TripAdvisor’s’ ranking) and produces some semantic analysis of the actual content of tweets. Findings show that th…
Strategic Innovative Marketing and Tourism
Computer Science (2 works) · Sociology (2 works) · World Wide Web (2 works) · Assortativity (1 works) · Business (1 works) · Cluster analysis (1 works) · Clustering coefficient (1 works) · Complex network (1 works) · Complex Network Analysis Techniques (1 works) · Content analysis (1 works)