Human communication is commonly represented as a temporal social network, and evaluated in terms of its uniqueness. We propose a set of new entropy-based measures for human communication dynamics represented within the temporal social network as event sequences. Using real world datasets and random interaction series of different types we find that real human contact events always significantly...

This paper addresses some aspects of the social network analysis (SNA) performed on the social-academic network that was implemented for the EURO Working Group on Decision Support Systems (EWG-DSS). The EWG-DSS network is populated with over 105 members of the group and was defined with the objective of analysing and representing the various relationships that academically link the group member...

Degree centrality is considered to be one of the most basic measures of social network analysis, which has been used extensively in diverse research domains for measuring network positions of actors in respect of the connections with their immediate neighbors. In network analysis, it emphasises the number of connections that an actor has with others. However, it does not accommodate the value o...

Over the years, the concept of leadership has experienced a paradigm shift − from solitary leader (centralized leadership) to de-centralized leadership or distributed leadership. This paper explores the idea that centralized leadership, as earlier suggested, negatively impacts team performance. I applied the hypothesis to cricket, a sport in which leaders play an important role in team’s succes...

Online health community can break the limitations of time and space to provide medical and health information for users, meanwhile can promote the formation and evolution of friendships between users. This paper takes the largest diabetes community in China SweetHome as the research, and uses the dynamic social network analysis, which is based on stochastic actor-oriented models, to study the i...

This paper motivates and interprets entropy centrality, the measure understood as the entropy of flow destination in a network. The paper defines a variation of this measure based on a discrete, random

In combination with the method of social network analysis, a set of network analysis methods is established based on the theory and methods of frequent subgraph mining, network motifs, at el, which is different from the traditional social network analysis. It can be used to analyze the properties of social network and judge the roles of the nodes effectively.

Our research examines how the organisational structure facilitates knowledge sharing within the group. This case study examines a Victorian regional sustainable group using interviews and social network analysis to identify the group's organisational structure and its effect on knowledge sharing between the members. Our findings indicate that while the mixed membership, lack of hierarchy and la...

This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) to identify the patterns and trends of network dynamics. It is building on earlier works that explore associations of student achievement records with the observed network measures. It integrates gender a...