In online social dynamics, a robust scale invariance appears as a key feature of
collaborative efforts that lead to new social value. The underlying empirical data thus offers a …

Collective knowledge as a social value may arise in cooperation among actors whose
individual expertise is limited. The process of knowledge creation requires meaningful …

The identification of the most influential nodes has been a vibrant subject of research across
the whole of network science. Here we map this problem to structured evolutionary …

The events of the recent SARS-CoV-2 epidemics have shown the importance of social
factors, especially given the large number of asymptomatic cases that effectively spread the …

Collective emotional behavior of users is frequently observed on various Web portals;
however, its complexity and the role of emotions in the acting mechanisms are still not …

We provide an agent‐based model to explain the emergence of collective opinions not
based on feedback between different opinions, but based on emotional interactions …

In many complex systems, self-organised criticality (SOC) provides a mechanism for the
diversity of spatiotemporal scales that optimises the system's response to omnipresent …

In this paper, an algorithm to choose a good partition in bipartite networks has been
proposed. Bipartite networks have more theoretical significance and broader prospect of …

In online communications, patterns of conduct of individual actors and use of emotions in the
process can lead to a complex social graph exhibiting multilayered structure and …

In this paper, an algorithm is proposed to detect one-mode community structures in bipartite
networks, and to deduce which one-mode community structures are weighted. After …