Results 61 to 70 of about 255,247 (288)
Data-driven modeling of collaboration networks: A cross-domain analysis
, 2017 We analyze large-scale data sets about collaborations from two different domains: economics, specifically 22.000 R&D alliances between 14.500 firms, and science, specifically 300.000 co-authorship relations between 95.000 scientists.
Schweitzer, Frank +2 more
core +1 more source
Matching and Network Effects [PDF]
, 2011 This paper examines the existence and magnitude of network effects in the matching of work teams. We study the formation of co-author relations among economists over a thirty year period. Our principal finding is that a collaboration emerges faster among
Fafchamps, Marcel +2 more
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Study the co-authorship situation among chemistry researchers in Yazd University
مجله علمسنجی کاسپین, 2014 Background and aim: The aim of this study was to determine the co-authorship condition of chemistry researchers in University of Yazd in Web of Science database. Material and methods: This scientometric study was performed to visualize the co-authorship
Fatemeh Dehghani, Mohamad Mohamadi
doaj
Co-Authorship Networks Of Scientific Collaboration
, 2016 This study analyzes collaborative and networked academic authorship in higher education. The literature review shows evidence that single authorship has made a gradual paradigm shift to joint authorship. The empirical evidence from the Turku University of Applied Sciences indicates that collaborative authorship has notably increased in the last few ...
openaire +3 more sources
Co-authorship prediction in academic social network
Anais do V Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2016), 2016 The prediction of relationships in a social network is a complex and extremely useful task to enhance or maximize collaborations by indicating the most promising partnerships. In academic social networks, prediction of relationships is typically used to try to identify potential partners in the development of a project and/or co-authors for publishing ...
William Takahiro Maruyama +1 more
openaire +2 more sources
Towards journalometrical analysis of a scientific periodical: a case study [PDF]
, 2007 In this paper we use several approaches to analyse a scientific journal as a complex system and to make a possibly more complete description of its current state and evolution.
Holovatch, Yu., Mryglod, O.
core +3 more sources
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation
IEEE Access, 2017 In the era of big scholarly data, citation recommendation is playing an increasingly significant role as it solves information overload issues by automatically suggesting relevant references that align with researchers' interests.
Lantian Guo +5 more
doaj +1 more source
On Spectral Partitioning of Co-authorship Networks [PDF]
, 2012 Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures in real world networks and databases. In this paper, we explore two community detection approaches based on the spectral partitioning to analyze a co-authorship ...
Snášel, Václav +4 more
openaire +2 more sources