The phrase "attachment rules" is correct and usable in written English.
It can be used in contexts discussing guidelines or protocols related to attachments, such as in emails or documents.
Example: "Please ensure that you follow the attachment rules outlined in the company policy when sending files to clients."
Alternatives: "attachment guidelines" or "attachment protocols".
Model networks are grown with known preferential attachment rules to test the method, which is seen to be robust.
However, the scale-free degree distribution shows some differences from that of a model network grown using the obtained preferential attachment rules, implying that other factors are also important in the growth process.
There is no need to posit preferential attachment rules or selection for the scale-free topology.
Each node of a heuristic obeys preferential attachment rules akin to Hebbian learning rules, and contains a unique bit-string or information sequence representing perceived, planned, and executed behavioral strategies.
This is the case with the celebrated "preferential attachment rule" [3], that posits that new nodes attach to the existing ones with probability proportional to their degree.
That this is the crucial time for Double Jeopardy Clause purposes is evident from the attachment rule in bench trials.
We develop a self-consistent method to determine whether preferential attachment occurs during the growth of a network, and to extract the preferential attachment rule using time-dependent data.
To specify which of the specific agents from these groups are chosen, we adopt the preferential attachment rule.
As we have already mentioned, many mechanisms have been proposed for constructing complex scale-free networks similar to those observed in natural, social and technological systems from purely topological arguments (for instance, using a preferential attachment rule or any other rule available in the literature [1], [2]).
We modified the preferential attachment rule to conform to the regression in Figure 5, making p(new attachment) = (0.17 + 0.018).
The crucial ingredient of the link dynamics is an asymmetric preferential attachment rule, which is supported by empirical data.
