Event Detection in Social Streams

315 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Outlier Analysis (2013, methodology): “Both supervised and unsupervised methods for event detection in social media streams are discussed in [27].”
Outlier Detection for Temporal Data: A Survey (2014, background): “Outlier detection has been studied in a variety of data domains including high-dimensional data [5], uncertain data [6], streaming data [7]–[9], network data [9]–[13] and time series data [14], [15].”
A survey on data stream clustering and classification (2015, methodology): “used a graph-based algorithm that considers both the text context and the network structure for online event detection [7].”
Multi-Task Learning for Spatio-Temporal Event Forecasting (2015, methodology): “Clustering-based methods search for novel spatial clusters of documents or terms using predeﬁned similarity metrics, such as cosine similarity and social similarity for documents [3], or auto-correlations [2] and co-occurrences [32] for terms.”