Dynamics of Citation Networks

Csárdi, Gábor

doi:10.1007/11840817_73

Cited by 35 publications

(42 citation statements)

References 17 publications

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“…The definitions and calculations of other indexes are provided in Table S1 in the supplemental material. Most calculations were accomplished through the sna and igraph packages in the R project (53, 54). Those overall topological indexes in part II (see Table S1 in the supplemental material) describe the overall network topology from different angles, and thus they are useful in characterizing various fMENs identified under different conditions.…”

Section: Methodsmentioning

confidence: 99%

Functional Molecular Ecological Networks

Zhou

Deng

Luo

et al. 2010

mBio

795

577

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Biodiversity and its responses to environmental changes are central issues in ecology and for society. Almost all microbial biodiversity research focuses on “species” richness and abundance but not on their interactions. Although a network approach is powerful in describing ecological interactions among species, defining the network structure in a microbial community is a great challenge. Also, although the stimulating effects of elevated CO2 (eCO2) on plant growth and primary productivity are well established, its influences on belowground microbial communities, especially microbial interactions, are poorly understood. Here, a random matrix theory (RMT)-based conceptual framework for identifying functional molecular ecological networks was developed with the high-throughput functional gene array hybridization data of soil microbial communities in a long-term grassland FACE (free air, CO2 enrichment) experiment. Our results indicate that RMT is powerful in identifying functional molecular ecological networks in microbial communities. Both functional molecular ecological networks under eCO2 and ambient CO2 (aCO2) possessed the general characteristics of complex systems such as scale free, small world, modular, and hierarchical. However, the topological structures of the functional molecular ecological networks are distinctly different between eCO2 and aCO2, at the levels of the entire communities, individual functional gene categories/groups, and functional genes/sequences, suggesting that eCO2 dramatically altered the network interactions among different microbial functional genes/populations. Such a shift in network structure is also significantly correlated with soil geochemical variables. In short, elucidating network interactions in microbial communities and their responses to environmental changes is fundamentally important for research in microbial ecology, systems microbiology, and global change.

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Section: Methodsmentioning

confidence: 99%

Functional Molecular Ecological Networks

Zhou

Deng

Luo

et al. 2010

mBio

795

577

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“…Igraph (Csardi & Nepusz, 2006) Open source for Windows, MacOS, Linux Manual at https://goo.gl/ReNC7W Added as a "package" in R. a Plots large graphs and generates a wide range of network diagrams.…”

Section: Brokeragesmentioning

confidence: 99%

Networks for Performance

2019

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The role of relationships in human performance can be as important as the human‐capital attributes and physical assets of individuals and the environments in which they perform. Using two examples, social networks of relationships are described in a table, by graphs, and through metrics. Provided also is a list of software for analyzing social networks. In addition, five examples of the influence of social networks on performance are summarized.

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“…These are defined as groups of vertices (phenotypes) that are highly interconnected. To calculate communities we applied the edge betweenness algorithm [15] as implemented in the R package igraph [16]. We obtained 10 inter-connected communities and a number of small isolated communities.…”

Section: Deriving Communities Of Phenotypesmentioning

confidence: 99%