<p>The computed similarity is shown as function of the parameter <i>α</i>, which tunes the weight of the individual links in the networks. The case <i>α</i> = 0 corresponds to the case of links having equal weight, whereas increasing values of <i>α</i> enhances the contribution from the stronger links in the calculation, e.g., for <i>α</i> = 2 the strongest links of each individual dominates. The envelope is the estimate of the standard deviation (see text). In <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0157436#pone.0157436.s003" target="_blank">S3 Text</a>, a table is included of p-values for the individual traits and for different <i>α</i>-values. In general, the p-values are large (>0.05) for the traits Conscie...
<p>The taste similarity <i>θ</i> is quantified by the <i>PCC</i> value of the rating vectors on comm...
<p>CLUSTER1_N, CLUSTER2_E, CLUSTER3_O, CLUSTER4_A, CLUSTER5_C: clusters showing maximum corresponden...
Most research on similarity in friendship networks focuses on clearly visible individual attributes ...
<p>The bars show the intraclass correlation coefficient for the different variables and for the netw...
<div><p>The weight of links in a network is often related to the similarity of the nodes. Here, we i...
<p>The four clusters were dominated by different body forms as shown in the pie-charts.</p
<p>Defined as the fraction of ties from one communication channel that can be recovered by consideri...
Some properties of social networks (e.g., the mixing patterns and the community structure) appear de...
Percentile plot of the Jaccard similarity of the set all user’s friends and the set of all user’s en...
The focus of this study is to investigate the personality similarity among people. We investigate 20...
In the last decade, there has been a massive increase in network research across both the social and...
This article is an extension to Zeggelink (1994) which introduced the individual-oriented approach t...
Mobile phone communication as digital service generates ever-increasing datasets of human communica...
This article is an extension to Zeggelink (1994) which introduced the individual-oriented approach t...
<p>Behavioral change parameters are adjusted for network structural parameters (<a href="http://www....
<p>The taste similarity <i>θ</i> is quantified by the <i>PCC</i> value of the rating vectors on comm...
<p>CLUSTER1_N, CLUSTER2_E, CLUSTER3_O, CLUSTER4_A, CLUSTER5_C: clusters showing maximum corresponden...
Most research on similarity in friendship networks focuses on clearly visible individual attributes ...
<p>The bars show the intraclass correlation coefficient for the different variables and for the netw...
<div><p>The weight of links in a network is often related to the similarity of the nodes. Here, we i...
<p>The four clusters were dominated by different body forms as shown in the pie-charts.</p
<p>Defined as the fraction of ties from one communication channel that can be recovered by consideri...
Some properties of social networks (e.g., the mixing patterns and the community structure) appear de...
Percentile plot of the Jaccard similarity of the set all user’s friends and the set of all user’s en...
The focus of this study is to investigate the personality similarity among people. We investigate 20...
In the last decade, there has been a massive increase in network research across both the social and...
This article is an extension to Zeggelink (1994) which introduced the individual-oriented approach t...
Mobile phone communication as digital service generates ever-increasing datasets of human communica...
This article is an extension to Zeggelink (1994) which introduced the individual-oriented approach t...
<p>Behavioral change parameters are adjusted for network structural parameters (<a href="http://www....
<p>The taste similarity <i>θ</i> is quantified by the <i>PCC</i> value of the rating vectors on comm...
<p>CLUSTER1_N, CLUSTER2_E, CLUSTER3_O, CLUSTER4_A, CLUSTER5_C: clusters showing maximum corresponden...
Most research on similarity in friendship networks focuses on clearly visible individual attributes ...