Title |
Modularity and anti-modularity in networks with arbitrary degree distribution
|
---|---|
Published in |
Biology Direct, May 2010
|
DOI | 10.1186/1745-6150-5-32 |
Pubmed ID | |
Authors |
Arend Hintze, Christoph Adami |
Abstract |
Much work in systems biology, but also in the analysis of social network and communication and transport infrastructure, involves an in-depth analysis of local and global properties of those networks, and how these properties relate to the function of the network within the integrated system. Most often, systematic controls for such networks are difficult to obtain, because the features of the network under study are thought to be germane to that function. In most such cases, a surrogate network that carries any or all of the features under consideration, while created artificially and in the absence of any selective pressure relating to the function of the network being studied, would be of considerable interest. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 8% |
Brazil | 2 | 3% |
Italy | 1 | 1% |
United Kingdom | 1 | 1% |
South Africa | 1 | 1% |
Venezuela, Bolivarian Republic of | 1 | 1% |
Mexico | 1 | 1% |
Unknown | 64 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 34% |
Student > Ph. D. Student | 15 | 19% |
Professor | 7 | 9% |
Professor > Associate Professor | 6 | 8% |
Student > Master | 5 | 6% |
Other | 11 | 14% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 31% |
Neuroscience | 7 | 9% |
Physics and Astronomy | 6 | 8% |
Computer Science | 6 | 8% |
Psychology | 5 | 6% |
Other | 18 | 23% |
Unknown | 11 | 14% |