Abstract In the last decades, temporal networks played a key role in modelling, understanding, and analysing properties of dynamic systems where individuals events vary time. Of paramount importance is representation analysis Social Media, particular Networks Online Communities, through networks, due to their intrinsic dynamism (social ties, online/offline status, users’ interactions, etc..). T...

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We present a new methodological approach to the study of social mobility. We use a latent class growth analysis (LCGA) framework to identify five qualitatively distinct social class trajectory groups between 1980 and 2000 for male respondents to the 1970 British Cohort Study. We model the antecedents of trajectory group membership via multinomial logistic regression. Nonresponse, a considerable...

There is much interest in the evolutionary forces that favored the evolution of large brains in the primate order. The social brain hypothesis posits that selection has favored larger brains and more complex cognitive capacities as a means to cope with the challenges of social life. The hypothesis is supported by evidence that shows that group size is linked to various measures of brain size. B...

We investigate algorithms to detect groups in a single users email network. Our goal is to build a practically usable tool that can mine a users email archives and based on email communication patterns, infer groups of people in the users email network. We aim to use this information for 2 purposes: 1) To seed groups for access control to data in online social networks and 2) to automatically s...

Recent developments in social insect research have challenged the need for close kinship as a prerequisite for the evolution of stable group living. In a model communal bee species, Lasioglossum (Chilalictus) hemichalceum, previous allozyme work indicated that groups of cooperating adult females are not relatives. Yet at any given time, not all group members perform the risky task of foraging. ...

In many applications, ideas that are described by a set of words often flow between different groups. To facilitate users in analyzing the flow, we present a method to model the flow behaviors that aims at identifying the lead-lag relationships between word clusters of different user groups. In particular, an improved Bayesian conditional cointegration based on dynamic time warping is employed ...

We study a distributed learning process observed in human groups and other social animals. This learning process appears in settings in which each individual in a group is trying to decide over time, in a distributed manner, which option to select among a shared set of options. Specifically, we consider a stochastic dynamics in a group in which every individual selects an option in the followin...

Recent increase in population of mobile phone users makes it a valuable source of information for social network analysis. For a given call log, how much can we tell about the person’s social group? Unnoticeably, phone user’s calling personality and habit has been concealed in the call logs from which we believe that it can be extracted to infer its user’s social group information. In this pape...