Before revision: Measuring preferential attachment in growing networks has received considerable attention, not only for understanding how heavy-tail degree distributions emerge in real-world networks, but also for gaining insight into various rich-get-richer effects that arise in diverse fields.
After revision: Preferential attachment is commonly invoked to explain the emergence of those heavy-tailed degree distributions characteristic of growing network representations of divers real-world phenomena. Experimentally confirming this hypothesis in real-world networks, but also for gaining insight into various rich-get-richer effects that arise in diverse fields.