EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK
The interaction diversity within the communities of living matter, from bacterial colonies to human societies, makes them inherently more complex than ensembles of particles in inanimate nature. Co-authorship networks are a particular case of intra- and inter-group social interactions. In this paper...
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| Format: | Article |
| Language: | English |
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2015-01-01
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| Series: | Вавиловский журнал генетики и селекции |
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| Online Access: | https://vavilov.elpub.ru/jour/article/view/324 |
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| _version_ | 1832575270063702016 |
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| author | I. I. Titov A. A. Blinov |
| author_facet | I. I. Titov A. A. Blinov |
| author_sort | I. I. Titov |
| collection | DOAJ |
| description | The interaction diversity within the communities of living matter, from bacterial colonies to human societies, makes them inherently more complex than ensembles of particles in inanimate nature. Co-authorship networks are a particular case of intra- and inter-group social interactions. In this paper, we analyze the Novosibirsk biomedical scientific community as an example of such a network. Using the PubMed database, we have built a community network and calculated its statistics. The distribution of organizations by scientific activity has a fat tail and obeys the Pareto principle: 83% of publications and 75% of authors belong to the 20% of the most active organizations. A comparison of their networks shows that networks of the universities have a more pronounced core rather than those of research institutions. We have plotted the “demographic” structure of currently active authors and found out two facts: (1) an abundance of authors with short “publication experience” and (2) a deficit of authors whose first publication is dated back to 1991-1997. In general, the network dynamics is non-steady, and the activity tends to increase. |
| format | Article |
| id | doaj-art-fc1bb84977624346ac19176c346881f2 |
| institution | Kabale University |
| issn | 2500-3259 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
| record_format | Article |
| series | Вавиловский журнал генетики и селекции |
| spelling | doaj-art-fc1bb84977624346ac19176c346881f22025-02-01T09:58:01ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592015-01-01184/2939944307EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORKI. I. Titov0A. A. Blinov1Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia Novosibirsk National Research State University, Novosibirsk, RussiaNovosibirsk National Research State University, Novosibirsk, RussiaThe interaction diversity within the communities of living matter, from bacterial colonies to human societies, makes them inherently more complex than ensembles of particles in inanimate nature. Co-authorship networks are a particular case of intra- and inter-group social interactions. In this paper, we analyze the Novosibirsk biomedical scientific community as an example of such a network. Using the PubMed database, we have built a community network and calculated its statistics. The distribution of organizations by scientific activity has a fat tail and obeys the Pareto principle: 83% of publications and 75% of authors belong to the 20% of the most active organizations. A comparison of their networks shows that networks of the universities have a more pronounced core rather than those of research institutions. We have plotted the “demographic” structure of currently active authors and found out two facts: (1) an abundance of authors with short “publication experience” and (2) a deficit of authors whose first publication is dated back to 1991-1997. In general, the network dynamics is non-steady, and the activity tends to increase.https://vavilov.elpub.ru/jour/article/view/324co-authorship networknetwork structurenetwork evolutionstatistical analysis |
| spellingShingle | I. I. Titov A. A. Blinov EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK Вавиловский журнал генетики и селекции co-authorship network network structure network evolution statistical analysis |
| title | EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK |
| title_full | EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK |
| title_fullStr | EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK |
| title_full_unstemmed | EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK |
| title_short | EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK |
| title_sort | exploring the structure and evolution of the novosibirsk biomedical co authorship network |
| topic | co-authorship network network structure network evolution statistical analysis |
| url | https://vavilov.elpub.ru/jour/article/view/324 |
| work_keys_str_mv | AT iititov exploringthestructureandevolutionofthenovosibirskbiomedicalcoauthorshipnetwork AT aablinov exploringthestructureandevolutionofthenovosibirskbiomedicalcoauthorshipnetwork |