lifecycles.algorithms.events_asur

events_asur(lc: object, th: float = 0.5) → dict

Compute the events in a lifecycle according to Asur et al. Return a dictionary of events of the form {event_type: [event1, event2, …]}

Parameters:

• lc – the lifecycle object

• th – threshold for merge and split scores. Defaults to 0.5.

Returns:

dictionary of events

Reference:

Asur, S., Parthasarathy, S., Ucar, D.: An event-based framework for charac- terizing the evolutionary behavior of interaction graphs. ACM Transactions on Knowledge Discovery from Data (TKDD) 3(4), 1–36 (2009)

Example:

>>> from lifecycles import Lifecycle
>>> from lifecycles.algorithms.classic_match import events_asur
>>> lc = Lifecycle()
>>> # add some data and then...
>>> events = events_asur(lc, 0.5)