First of all, I recommend that you try to push the Arcs slider a bit more to the right to see what other dependencies there are in this process map, which are not shown when the Arcs slider is at 10%. You might discover that there are forward and backward loops in there that you do not see. In a process map, parallel relations show up as pairs of tasks that have arcs in both directions: from A to B and from B back to A. I believe that moving the Arcs slider to 50% or 60% would give you a more accurate picture.
Second, you might wish to click on the BPMN button in the top-left corner to see this log as a BPMN model. And once you are in the BPMN view, you might wish to push the Parallelism slider to 80% or so to make Apromore more sensitive to parallel relations.
Please note that Apromore’s BPMN discover technique is not designed to discover parallelism in small logs with just one or a handful of events. It has been designed and extensively tested to detect parallelism in real-life complex event logs with several hundreds or thousands of traces. To discover parallelism, Apromore relies on the following assumption: If two tasks A and B are in parallel, then in some of the cases A would finish before B and in other cases B will finish before A. In large datasets, this assumption generally holds with a high level of confidence, but in logs of 1 or 2 traces, this pattern cannot be found. So it might be that the BPMN discovery feature in Apromore will not find parallelism in an event log that contains only one trace.