4. Human LJ, Biesanz JC Targeting the Good Target: An Integrative Review of the Characteristics and Consequences of Being Accurately Perceived Pers SOc Psych Rev 17(3)248–272 2013Aug 5. Selfhout M, Denissen J, Branje S, Meeus W In the eye of the beholder: Perceived, actual, and peer-rated similarity in personality, communication, and friendship intensity during the acquaintanceship process. J P...

5 As a consequence of the rising interest in longitudinal social networks and their 6 analysis, there is also an increasing demand for tools to visualize them. We argue 7 that similar adaptations of state-of-the-art graph-drawing methods can be used to 8 visualize longitudinal networks and the fit of actor-based models, the most promi9 nent approach for analyzing such networks. The proposed met...

The authors examined associations of perceived similarity, actual similarity, and peer-rated similarity in personality with friendship intensity during the acquaintanceship process in a naturalistic setting. Self- and peer-rated personality data were gathered from undergraduates (mean age = 18.9) at 5 time points during the first year of university using a round-robin design. Whereas perceived ...

Interpersonal sensitivity (emotional and social) is the ability to accurately assess others’ abilities, states, and traits from nonverbal cues. The authors predicted that individuals’ interpersonal sensitivity would be related to accurate judgments of friends’ interpersonal sensitivity. Fifty participants were recruited, each bringing a friend to participate in performance-based, self-report, a...

Interpersonal sensitivity (emotional and social) is the ability to accurately assess others' abilities, states, and traits from nonverbal cues. The authors predicted that individuals' interpersonal sensitivity would be related to accurate judgments of friends' interpersonal sensitivity. Fifty participants were recruited, each bringing a friend to participate in performance-based, self-report, a...

We propose a novel method to generate scale-free networks with discretely tunable clustering coefficient in order to model real social networks. Recently several methods were introduced to generate networks with power law degree distribution. Most of them are based on preferential attachment, but in these networks the average clustering coefficient is low opposite to the real social networks. B...

6 As a consequence of the rising interest in longitudinal social networks and their 7 analysis, there is also an increasing demand for tools to visualize them. We argue 8 that similar adaptations of state-of-the-art graph-drawing methods can be used to 9 visualize both, longitudinal networks and predictions of stochastic actor-oriented 10 models (SAOM), the most prominent approach for analyzing...