3 research outputs found
The role of emotional variables in the classification and prediction of collective social dynamics
We demonstrate the power of data mining techniques for the analysis of
collective social dynamics within British Tweets during the Olympic Games 2012.
The classification accuracy of online activities related to the successes of
British athletes significantly improved when emotional components of tweets
were taken into account, but employing emotional variables for activity
prediction decreased the classifiers' quality. The approach could be easily
adopted for any prediction or classification study with a set of
problem-specific variables.Comment: 16 pages, 9 figures, 2 tables and 1 appendi
Strategies in Crowd and Crowd Structure
In an emergency situation, imitation of strategies of neighbours can lead to an order-disorder phase transition, where spatial clusters of pedestrians adopt the same strategy. We assume that there are two strategies, cooperating and competitive, which correspond to a smaller or larger desired velocity. The results of our simulations within the Social Force Model indicate that the ordered phase can be detected as an increase of spatial order of positions of the pedestrians in the crowd