Topic
Network theory
About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.
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TL;DR: It is found that node importance is highly predictable due to both periodic and legacy effects of human social behaviour, and reasonable prediction functions are designed that can be efficiently computed in linear time, and are thus practical for processing dynamic networks in real-time.
83 citations
28 Jun 2009
TL;DR: Both feature analysis and experimental comparative studies revealed the general profile of selected measures of centrality in the social network profile.
Abstract: Network analysis offers many centrality measures that are successfully utilized in the process of investigating the social network profile. The most important and representative measures are presented in the paper. It includes indegree centrality, proximity prestige, rank prestige, node position, outdegree centrality, eccentrality, closeness centrality, and betweenes centrality. Both feature analysis and experimental comparative studies revealed the general profile of selected measures.
83 citations
TL;DR: It is found that boundary spanning correlates with influence, regardless of hierarchical level, and there is also a curvilinear relationship between boundary-spanning communication and individual influence.
Abstract: In this study of the business communication that connects an organization with others in its environment, we link boundary spanning with network theory and propose the concept of an extended networ...
82 citations
TL;DR: The proposed network-based theory of alliance formation argues that closed triangles in the alliance network produce synergy effects in which state-level utility is greater than the sum of its dyadic parts.
Abstract: We propose a network-based theory of alliance formation. Our theory implies that, in addition to key state and dyad attributes already established in the literature, the evolution of the alliance network from any given point in time is largely determined by its structure. Specifically, we argue that closed triangles in the alliance network—where i is allied with j is allied with k is allied with i — produce synergy effects in which state-level utility is greater than the sum of its dyadic parts. This idea can be generalized to n-state closure, and, when considered along with factors that make dyadic alliance formation more attractive, such as military prowess and political compatibility, suggests that the network will evolve toward a state of several densely connected clusters of states with star-like groupings of states as an intermediary stage. To evaluate our theory, we use the temporal exponential random graph model and find that the roles of our network effects are robustly supported by the data, whe...
82 citations
TL;DR: Analysis of the complexity of a variety of empirically derived networks suggests that many social networks are nearly as complex as their source entropy, and thus that their structure is roughly in line with the conditional uniform graph distribution hypothesis.
81 citations