There are currently several approaches to managing longitudinal data in graphs and social
networks. All of them influence the output of algorithms that analyse the data. We present an …

Most instruments-formalisms, concepts, and metrics-for social networks analysis fail to
capture their dynamics. Typical systems exhibit different scales of dynamics, ranging from …

The thesis focuses on the social web and on the analysis of social networks with particular
emphasis on their temporal aspects. Social networks are represented here by Time Varying …

The analysis of social and technological networks has attracted a lot of attention as social
networking applications and mobile sensing devices have given us a wealth of real data …

The study of influential members of human networks is an important research question in
social network analysis. However, the current state-of-the-art is based on static or …

Longitudinal networks evolve over time through the creation and/or deletion of links among
a set of actors (eg, individuals or organizations). A longitudinal network can be viewed as a …

The dynamic character of most social networks requires to model evolution of networks in
order to enable complex analysis of theirs dynamics. The following paper focuses on the …

A longitudinal social network evolves over time through the creation and/or deletion of links
among a set of actors (eg individuals or organisations). Longitudinal social networks are …

The analysis of social networks often assumes time invariant scenario, while in practice
actor attributes and links in such networks often evolve over time and are inextricably …

In the last decade, social networks have increasingly attracting the attention of several
researchers in various fields. By tradition, social network analysis (SNA) is performed on …