The social aspects of the group members are usually omitted in today’s group recommenders. In this paper we propose novel approach for the intergroup processes modeling, while the friendship type, user’s personality and the group context is considered in order to reflect the group member influence. Moreover, the bi-directional emotional contagion is reflected by the spreading activation over th...

Easy access and vast amount of data, especially from long period of time, allows to divide social network into timeframes and create temporal social network. Such network enables to analyse its dynamics. One aspect of the dynamics is analysis of social communities evolution, i.e., how particular group changes over time. To do so, the complete group evolution history is needed. That is why in th...

Unlike in small communities where one can strategically interact with another according to the latter’s individual reputation, players in complex societies often have to interact with strangers whose individual reputations cannot be easily acquired. They often have to infer their counterparts’ characteristics from the latters’ group reputation to simplify decision making. We provide a game theo...

Group behaviour characterisation is a topic not so well studied in the video surveillance community due to its difficulty and large variety of topics involved, but mainly because the lack of valid semantic concepts that relate collective activity to social context. In this work, our proposal is three-fold: a new definition of semantic concepts for social group analysis considering environment c...

Social tensions impede social cohesion and public goods provision. They can also be a driving force for more serious conflicts such as civil wars. Surprisingly, however, the emergence of social tensions has only rarely been studied in the literature. In the present contribution a game-theoretic model highlights how reputation concerns and the structure of group cleavages matter for the emergenc...

Social emotional optimization algorithm (SEOA) is a new swarm intelligent technique by simulating human social behaviors. In SEOA, each individual represents a virtual person and pursues high society status by selecting the behaviors according to the corresponding emotional index in each iteration. Therefore, how to simulate the personal decision mechanism plays an important role for the algori...

In this work, we show how to model the group affiliations of social media users using probabilistic soft logic. We consider groups of a broad variety, motivated by ideas from the social sciences on groups and their roles in social identity. By modeling group affiliations, we allow the possibility of efficient higher-level relational reasoning about the groups themselves, where the number of gro...

We propose a new variant of the group activity selection problem (GASP), where the agents are placed on a social network and activities can only be assigned to connected subgroups (gGASP). We show that if multiple groups can simultaneously engage in the same activity, finding a stable outcome is easy as long as the network is acyclic. In contrast, if each activity can be assigned to a single gr...

In this paper, we seek to identity how mathematical and economic analysis can be used to gain insights about the mutation of social groups. Group mutability has been studied in multiple domains, with insights generated on significant factors at differing scales. Mathematical modeling enables the simultaneous study of such phenomena, understanding interactions and generating hypotheses for exper...

We analyze two large datasets from technological networks with location and social data: user location records from an online location-based social networking service, and anonymized telecommunications data from a European cellphone operator, in order to investigate the differences between individual and group behavior with respect to physical location. We discover agreements between the two da...