@inbook{ed2ec3005bd042c183e51a0460acf5c1,
title = "Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement",
abstract = "In this paper, we examine if the relative neighborhood graph (rng) can reveal related dynamics of page-level social media metrics. A statistical analysis is also provided to illustrate the application of the method in two other datasets (the indo-european language dataset and the shakespearean era text dataset). Using social media metrics on the world{\textquoteright}s {\textquoteleft}top check-in locations{\textquoteright} facebook pages dataset, the statistical analysis reveals coherent dynamical patterns. In the largest cluster, the categories {\textquoteleft}gym{\textquoteright}, {\textquoteleft}fitness center{\textquoteright}, and {\textquoteleft}sports and recreation{\textquoteright} appear closely linked together in the rng. Taken together, our study validates our expectation that rngs can provide a “parameter-free{"} mathematical formalization of proximity. Our approach gives useful insights on user behaviour in social media page-level metrics as well as other applications.",
author = "{de Vries}, N.J. and A.S. Arefin and L. Mathieson and Benjamin Lucas and P. Moscato",
note = "No data source; 12th International Conference, ADMA 2016, ADMA 2016 ; Conference date: 12-12-2016 Through 15-12-2016",
year = "2016",
doi = "10.1007/978-3-319-49586-6_19",
language = "English",
isbn = "978-3-319-49586-6",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "283--297",
booktitle = "Advanced Data Mining and Applications",
address = "United States",
edition = "12",
}