Through the examination of 11 intact interuniversity research project teams, this study examines the relationship between team leaders, team members, their communication networks (represented as structural holes), and performance. The study shows that in the conduct of their work, the team leaders bridged more structural holes than team members. Although team leaders demonstrated a higher level...

The interest in dynamic processes on networks is steadily rising recent years. In this paper, we consider the (α,β)-Threshold Network Dynamics ((α,β)-Dynamics), where α≤β, which only structural dynamics (edge of network) are allowed, guided by local threshold rules executed each node. particular, discrete round t, active pair nodes u and v, computes a value E(u,v) (the potential pair) as functi...

The paper discusses the connotation and constituent factors of the efficiency of social network (ESN). Applying the theory of structural holes, the study analyzes impact factors of ESN on the structural level, the resources level and the strategic level such as structural autonomy, nonredundancy and structural holes strategy. The effect mechanism model of ESN is established according to the act...

When analyzing the statistical and topological characteristics of complex networks, an effective and convenient way is to compute the centralities for recognizing influential and significant nodes or structures. Centralities for nodes are widely researched to depict the networks from a certain perspective and perform great efficiency, yet most of them are restricted to local environment or some...

To maximize employee performance in today’s increasingly competitive environment, companies must enhance individual creativity through the effective management of organizational network structures and learning cultures. This study is an empirical analysis of how firms should design these structures and improve individual creativity according to employees’ working styles. We propose a research m...

Structural network analysis is an intricate problem. In fact, the majority of techniques that have been developed so far are only applicable to investigate deterministic network models. This gives rise to develop novel graph-theoretical methods for applying them to more complex graphs and especially to statistically inferred networks. In this regard, we review methods for analyzing complex netw...