This paper examines approaches for analyzing Twitter messages to distinguish between those covering real-world events and non-event messages. To validate this work the authors applied their process to 2.6 million Twitter messages.
The authors of this 2011 article hypothesize that the results of Google Trends, given its daily and weekly reports on queries related to various industries may be correlated to the current level of economic activity in these industries.
This survey reviews the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The article is divided into two principal parts:
This portal gathers an annotated collection of recent research on the ways in which social media and new technologies may be leveraged in the fight against violent extremism