Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Self-exciting spatio-temporal point process models predict the rate of events as a function of
space, time, and the previous history of events. These models naturally capture triggering …

Background Several past studies have found that media reports of suicides and homicides
appear to subsequently increase the incidence of similar events in the community …

Containing the spread of crime in urban societies remains a major challenge. Empirical
evidence suggests that, if left unchecked, crimes may be recurrent and proliferate. On the …

How does the activity of one person affect that of another person? Does the strength of
influence remain periodic or decay exponentially over time? In this paper, we study these …

Hawkes () introduced a powerful multivariate point process model of mutually exciting
processes to explain causal structure in data. In this article, it is shown that the Granger …

Estimating the conditional intensity of a self-exciting point process is particularly challenging
when both exogenous and endogenous effects play a role in clustering. We propose …

Today's social media platforms are excellent vehicles for businesses to build and foster
relationship with customers. Companies create official fan pages on social network websites …

Increasing levels of far-right extremist violence have generated public concern about the
spread of radicalization in the United States. Previous research suggests that radicalized …

Crime prediction plays an impactful role in enhancing public security and sustainable
development of urban. With recent advances in data collection and integration technologies …