Table 1 Symbiotic evolution patterns among populations in DIES.

From: Numerical simulation and governance framework for multi stakeholder symbiotic evolution in digital innovation ecosystems

Range of values

Symbiotic patterns

Feature analysis

\(\alpha _{ab}=\alpha _{ba}=0\)

Independent symbiosis

The four digital innovation groups develop independently without mutual interference.

\(\alpha _{ab}\alpha _{ba}<0\)

Parasitic symbiosis

A positive symbiotic coefficient indicates a beneficiary actor, while a negative coefficient indicates a disadvantaged actor.

\(\alpha _{ab}>0,\,\alpha _{ba}=0\)

Commensal symbiosis

A positive symbiotic coefficient indicates a beneficiary actor, whereas a coefficient of zero denotes a neutral actor.

\(\alpha _{ab}>0,\alpha _{ba}>0\)

Mutualistic symbiosis

All four digital innovation groups benefit.

  1. Note: Among them, a, b[1,2,3,4], a ≠ b.