an email.\
$\bullet$ The [College]{} dataset consists of private messages sent over a period of 193 days on an online social network (Facebook-like platform) at the University of California, Irvine. There are 1899 nodes, 20296 edges and 59835 interactions. An interaction $(t,i,j)$ corresponds to a user $i$ sending a private message to another user $j$ at time $t$.\
$\bullet$ The [Math]{} overflow dataset is a temporal network of interactions on the stack exchange website Math Overflow over 2350 days. There are 24818 nodes, 239978 edges and 506550 interactions.An interaction $(t,i,j)$ means that a user $i$ answered another user’s $j$ question at time $t$, or commented on another user’s $j$ question/response.\
$\bullet$ The [Ubuntu]{} dataset is a temporal network of interactions on the stack exchange website Ask Ubuntu over 2613 days. There are 159316 nodes, 596933 edges and 964437 interactions. An interaction $(t,i,j)$ means that a user $i$ answered another user’s $j$ question at time $t$, or commented on another user’s $j$ question/response. **Comparison on link prediction.** We compare our model (Hawkes-CCRM) to five other benchmark methods: (i) our model, without the Hawkes component (obtained by setting $\eta=0$), (ii) the Hawkes-IRM model of @Blundell2012 which uses an infinite relational model (IRM) 