Specifically, for the case of high-degree nodes, driver agents are either 1 or 10% of the population [see Table 1 (High-degree agent selection)].
For low-degree nodes, driver agents are either 50% or 70% of the population [see Table 1 (Low-degree agent selection)].
number of time steps (max #ticks): (|K|= 100,000) Number of new random topics per driver agent (% over (T_i)): 30% Time interval of new random topic insertion (in #ticks): 1000 Network sizes Number of agents: (N= [100, 200, 500, 1000]) High-degree agent selection Number of driver agents (% over N): [1, 10%] Low-degree agent selection Number of driver agents (% over N): [50, 70%].
On the other side, the influence that a typical low-degree node has on communication is very limited, and for this reason the number of low-degree agents that must be selected to produce a clear control effect on the network is much higher than that in the previous case.
Obviously, the number of agents in each group and the degree of agents change dynamically as the network evolves.
Employers now hire graduates for work that previously didn't require a degree: estate agents, police officers, nurses.
Setting aside peculiarly moral reasons, common sense suggests that ordinary practical reasons exhibit a high degree of agent-relativity.
We measure agent-to-agent ties by preference correlation using the contribution degree of one agent to another and the preference similarity degree between two agents.
The type of cross-linking agent, degree of cross-linking and degree of ionisation were varied.
One recent afternoon, as the temperature in the Arizona desert hovered near 100 degrees, Border Patrol agents stationed inside a command center in Tucson were notified that a ground sensor had gone off.
Fig. 1 Network results for the selection of high- or low-degree driver agents.
