15 research outputs found
AUC values for the follower's and the follower' reciprocity.
<p>AUC values for the follower's and the follower' reciprocity.</p
Local link reciprocity for different language groups.
<p>Local link reciprocity for different language groups.</p
Degree ratio () and the diagonal fraction () for the users satisfying (values left to the slash) and 2000 (values right to the slash).
<p>Degree ratio () and the diagonal fraction () for the users satisfying (values left to the slash) and 2000 (values right to the slash).</p
Figure 3
<p>(a) Out-degree of those following a type 1 or 2 user. It is equal to 6 for the user shown by the filled circle. (b) Follower's reciprocity. It is equal to for the user shown by the filled circle.</p
Schematic of the two types of users with many followers.
<p>(a) Type 1 user. (b) Type 2 user.</p
Survivor function of the number of friends (i.e., ) for the followers of a (a) type 1 user and (b) type 2 user.
<p>The sudden drop at is caused by the system restriction that users having more than 2000 friends are disallowed to possess friends.</p
Frequency that the random walker visits type 1 or 2 users.
<p>For each degree group defined by a distinct range of , we found less type 1 users than type 2 users by the neighbor sampling. Therefore, we randomly sampled users from the set of type 2 users such that the number of type 2 users is equal to that of type 1 users (e.g., 941).</p
Fraction of type users for different user types and languages.
<p>Fraction of type users for different user types and languages.</p
Figure 1
<p>(a) Relationship between the number of friends and that of followers for the 34075 Japanese users following a specific Japanese Twitter user. (b) Density plot of the number of friends and that of followers for the users that are shown in (a) and have with less than friends and followers.</p
Local clustering coefficient. The mean and standard deviation are calculated on the basis of ten randomly selected users of each type and language.
<p>Local clustering coefficient. The mean and standard deviation are calculated on the basis of ten randomly selected users of each type and language.</p