Motif-based communities in complex networks 来自 钛学术 喜欢 0 阅读量: 150 作者:A Arenas,A Fernandez,S Fortunato,S Gomez 摘要: Community definitions usually focus on edges, inside and between the communities. However, the high density of edges within a community determines correlations between ...
Recent studies on community detection in complex networks have highlighted that network motifs, i.e. small groups of nodes interconnected in patterns occurring more frequently than in a random network, are able to reveal the organization of the network in motif-based communities. This paper proposes...
Motif-based communities in complex networks However, the high density of edges within a community determines correlations between nodes going beyond nearest-neighbours, and which are indicated by the ... A Arenas,A Fernandez,S Fortunato,... - 《Journal of Physics A Mathematical & Theoretical》 ...
We first propose the notion of directed ordered networks as directed networks where the nodes constitute a totally ordered set. Next, we expand standard motif analysis to be able to capture the hierarchical structure in such systems. Our new approach is based on the identification of all ordered...
A deluge of new data on real-world networks suggests that interactions among system units are not limited to pairs, but often involve a higher number of nodes. To properly encode higher-order interactions, richer mathematical frameworks such as hypergrap
At present, the network paradigm (Böde et al., 2007) is increasingly used to describe the topology and dynamics of complex systems including the domain structure of biomacromolecules. Protein structure networks often have modules, i.e., communities of amino acids, which have a much higher intr...
Motif Analysis and the Periodic Structural Changes in an Organizational Email-Based Social Network: 10.4018/jvcsn.2009040102: Network motifs are small subgraphs that reflect local network topology and were shown to be useful for creating profiles that re
Microbial communities in their natural environments exhibit phenotypes that can directly cause particular diseases, convert biomass or wastewater to energy, or degrade various environmental contaminants. Understanding how these communities realize specific phenotypic traits (e.g., carbon fixation, hydrogen prod...
Interestingly, based on the community structures, we can observe several characteristics and reasons for the aforementioned family-specific performance difference. (1) The bHLH family has multiple disjoint communities that impose difficulties in synergizing the sequence neighborhood information for binding ...
When two nodes show weak correlations, especially when they are located in different communities, the link prediction model tends to separate the embedding vectors trained for these weakly linked vertices in space due to a lack of sufficient direct information and context to guide the learning ...