# Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks
## 4 Results
### Real-World Networks
#### 4.2.2 Enron Email Data  
The experiment is conducted on the dynamic social network, which is built by Enron [53], and it consisted of about 500,000 emails between 184 Enron employees from 1998 to 2002. The directional edge between the employee and the time point occurs if at least one email is sent within the first week. Each time step corresponds to an interval of 1 week. This dataset does not distinguish between emails sent to \"recipients,\" \"CC\" or \"BCC.\" In addition to email dataset, most employee roles (such as CEO, president, manager, employee) exist within the company and they are used as known communities. The first 56 weeks and the last 13 weeks are filtered because only a few emails are sent. Figure 8 compares the estimated community probability between a normal week and an event week. The higher the probability, the higher the community activity. Both the \(x\)-axis and the \(y\)-axis denote the estimated communities, and the color blocks on the diagonals express the activity within each community, and the color blocks of the diagonals imply the activity between each community. As shown in Figure 8a, in a normal week (week 59), the president community is the most active, followed by managers and employees, and the CEO community is the least active. It is also worth noting that from the color block distribution of managers and employees, the two communities may merge into one large community. This phenomenon can be reflected in the fact that communication between department managers and employees is usually close, and managers and employees are more likely to get along with each other. As shown in Figure 8b, in the event week (the 89 weeks when CEO [PERSON] resigns), the most active community is that of the managers, followed by president community, and the brightest color block is the managers to the employee community. This is reflected in the fact that in real life when CEOs resign, the discussion is most intense among managers  
Figure 8: The comparison of community probability in normal week and event week. (**a**) indicates the normal week(week 59), (**b**) indicates the event week (the 89 weeks when CEO [PERSON] resigns). because it is directly related to their personal interests. Discussions between managers and employees also proliferate for the same simple reason that it is indirectly related to the employees' personal interests. Figure 9 reveals the estimated edge connections between communities in Enron's email network under the proposed dynamic community's discovery approach PPPM and shows a 95% confidence interval (note: the lines on the left and right of the figure are for weeks 59 and 89, respectively). As shown in Figure 9, it is the edge probability of presidents to CEOs; it can be seen that the presidents to CEOs edge probability increased slightly at week 59 (normal) and 89 ([PERSON] CEO resigned), which corresponds to presidents to CEOs activity (increased) from Figure 8,b. Figure 9 shows the side probability within the president community. In the 59 th and 89 th weeks, the side probability inside the community shows a downward trend. This also corresponds to the active state (decreased activity) within the president community from Figure 8,b. Figure 9,c show the side probabilities between managers and the manager community and between the managers and the employee community, respectively. It can be seen that in the 59 th and 89 th weeks, the changing trend of the side probabilities of these two communities is consistent with that in Figure 9.  
Similarly, this change also corresponds to the changes in active state between managers and manager community and the employee community (increased activity) from Figure 8,b. Figure 9 shows the edge probability between the employees and the manager community. It is not difficult to see that there is no obvious trend of change in week 59 and 89.