From: A multilayer approach to multiplexity and link prediction in online geo-social networks
Twitter features | |
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mentions | \(|\textit{mentions}_{ij}|\) |
hashtags | \(|\textit{hashtags}_{ij}|\) |
overlap | \(\frac{|\Gamma_{i}^{T} \cap \Gamma_{j}^{T}|}{|\Gamma_{i}^{T} \cup \Gamma_{j}^{T}|}\) |
aa_sim | \(\sum_{z \in \Gamma_{i}^{T} \cap \Gamma_{j}^{T}} \frac{1}{\log(|\Gamma_{z}^{T}|)}\) |
Foursquare features | |
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colocs | \(|\textit{colocations}_{ij}|\) |
dist | \(\textit{haversine}(\textit{lat}_{i},\textit{lon}_{i}, \textit{lat}_{j}, \textit{lon}_{j})\) |
overlap | \(\frac{|\Gamma_{i}^{F} \cap \Gamma_{j}^{F}|}{|\Gamma_{i}^{F} \cup \Gamma_{j}^{F}|}\) |
aa_sim | \(\sum_{z \in \Gamma_{i}^{F} \cap \Gamma_{j}^{F}} \frac{1}{\log(|\Gamma_{z}^{F}|)}\) |
Multilayer features | |
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\(\textit{int}_{GNij} \) | \(\sum_{\alpha}^{M} |int^{\alpha}_{ij}|\) |
\({\textit{sim}}_{GNij}\) | \(\frac{\textit{sim}_{ij}^{a}}{\textit{dist}_{ij}^{b}}\) |
overlap | \(\frac{|\Gamma_{CNi} \cap \Gamma_{CNj}|}{|\Gamma_{CNi} \cup \Gamma_{CNj}|}\) |
aa_sim | \(\sum_{z \in \Gamma_{CNi} \cap \Gamma_{CNj}} \frac{1}{\log(|\Gamma_{CNz}|)}\) |