Co-authorship NetworksWikipedia Collaborative NetworksSpringer New Yorkdoi:10.1007/978-1-4614-6170-8_100169
Co-authorship networks contain invisible patterns of collaboration among researchers. The process of writing joint paper can depend of different factors, such as friendship, common interests, and policy of university. We show that, having a temporal co-authorship network, it is possible to predict ...
In general, previous studies have primarily focused on the following aspects of collaboration networks: 1) Descriptive structural characteristics; 2) Group formation; 3) Temporal group dynamics; and 4) Structural factors associated with the success of collaboration. In this study, we focus on ...
These social networks also have community structure, or sets of vertices which are more connected to each other than the rest of the network. To study the evolution of research groups of scientists in a coauthorship network, we use a timeheterarchy representation to extend the mechanisms driving...
Coauthorship networks consist of links among groups of mutually connected authors that form a clique. Classical approaches using Social Network Analysis indices do not account for this characteristic. We propose two new cohesion indices based on a clique
注册 论文 > 毕业论文 > Co-authorship 2 下载文档 收藏 打印 转格式 88阅读文档大小:227.18K10页剑桥英文文档上传于2013-09-18格式:PDF 人工智能基础(第2版) x2d;高济 x2d;ai x2d;4 x2d;本 热度: Disambiguation and co-authorship networks of the U ...
Co-authorship networks (and other contextual factors) behind the growth of taxonomy of South American Ephemeroptera: A scientometric approach D Eduardo,SDA Dos - 《Zootaxa》 被引量: 0发表: 2014年 Richness gradients of stream invertebrates across the USA: taxonomy- and trait-based approaches Large-...
Research impact is an important manifestation of research competence and the focus of medical education. This study is dedicated to exploring the relationships between coauthorship networks and the research impact of Chinese medical doctoral students fro
[2011—10 —23] .http ://. c dblp .en. [ 12] Newman M E J.Finding community Stnlcture in networks using the eigenvectors of matrices[ J ] .Physical Review E ,2006 ,74 ( 3 ) :相关精品文档 更多 复杂网络重叠社团划分算法研究与实现 复杂网络中重叠社区发现算法的研究与应用 复杂网络社...
Transatlantic innovation infrastructure networks: public‐private, EU–US R&D partnerships Collaborative, team-based research is now the most significant mode of activity in the global scientific community. Anecdotal and statistical evidence show... EG Carayannis,P Laget - 《R & D Management》 被引量...