of how to run the applet (click to enlarge). If
don't see a network like this above, please install Java.
A black line between two nodes represents a link and make
communication between the connected agents possible. The network can be
modified by addition or removal of links (see figure). Click
on a node, and
while the button still is pressed down, drag the pointer to another
node and release.
The ratio between communication and strategic rewirings in the network is set by the scrollbar under "Communication level".
The network can be shown in two different modes, and each mode in two
versions where the number of links or the communication distance define
the position relative to the center. The button under the "Information
perspective" toggles between the different modes. When "Strategy" is
selected, the agents can be chosen to chat, cheat or lie. Click on the
corresponding button and then on a node.
When "Information", the size
and the color of the nodes reflect the age of the information All
have about the Selected node, the
Selected node has of All nodes, or All nodes have on average about All other nodes.
To show the age and the amount of information that flows over the
links, the links have a background color and a width. The
width of these links reflects the relative amount of information
that they transfer from the Selected agent to All
agents, to the Selected agent from All other
agents, or between All agents. The color of the links represents the newest of this
information (if "All about all" is selected it represents the average).
The communication can be limited by links or nodes. Nodes communicate relative to the number of links they have in
the first case and with equal amount as all other nodes in the second
case. The agents' interests can be controlled by who they communicate
about. By selecting "Age" their interests decay inversely proportional
to how old the information about an agent is and with "No age" selected
they talk about anybody.
If you have any questions or comments, do not hesitate to contact
of the communication event in the model (click to enlarge). Agents A,
B, C... communicate with friends and get a global perception. This perception is illustrated by the memory bubble of A, before and
chat with B. It consists of the agents (first row), the age of the
information about the agent (second row), and from whom the
information came (third row).
of the rewiring event in the model (click to enlarge). A asks B,
the acquaintance that provided A with the newest information about H,
from whom the information came from. B answers E and A open for
communication with E by adding a link to E.
In the model applet here, we show that it is possible to build a
reliable perception of the whole through repeated small talks. We simply
let agents memorize the acquaintances that provided the
information about other agents together with the age of this
Here we take that model one step further and give the agents a
social mobility. The agents can thereby get new acquaintances to
meet different interests.
Agent A in the second illustration above would like to be better
positioned relative to agent H. A therefore asks B, the acquaintance
that provided A with the newest information about H, from whom B got
the information. B answers E and A establishes a contact with E. At the
same time a random agent looses a random link to keep the number of
links constant. In this way the social mobility of the agents is
limited to steps to an acquaintance's acquaintance.
The perception of the agents and the communication backbone differ
substantially at low communication rates. At higher communication rates
the rewiring become meaningful and the network topology no longer
The different strategies to become central have different effects on
the network topology. For example, the more an agent chats with its
surroundings, the better it and the surroundings perform. Contrary,
cheaters and liars can at maximum gain themselves.