The 90/10 phenomenon in directed signed social networks

We empirical study the signs’ property in the directed signed social networks of Slashdot and Epinions by using an reshuffled approach. Through calculating the entropy Sout and the giant component G, we find an interesting 90/10 phenomenon: each individual labels his/her neighbors as friends with 90% or foes with 10% uniformly random from the macroscopic perspective. We also find that the entropy Sout is suppressed by the non-randomness of labeling sign. Our present work can prove how do the randomness and the non-randomness coexist in human behavior of labeling signs, qualitatively.