Results 231 to 240 of about 51,156 (259)
Some of the next articles are maybe not open access.

Community mining in co-authorship network

International Conference on Information Communication and Embedded Systems (ICICES2014), 2014
Community is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. Community mining or detection involves discovering groups in a network where an individual's group memberships are not explicitly given. Much of the research on detecting communities in co-authorship networks has
openaire   +1 more source

Analysis of Significance and Evolution of Co-authorship Networks

2016
In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others.
openaire   +1 more source

The methodological status of co-authorship networks [PDF]

open access: possible, 2008
A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The
Jahn, Najko   +2 more
openaire   +2 more sources

Methods and Models for Co-Authorship Networks

Scientific collaboration, recognized as a crucial driver of research progress and innovation, has increased significantly across all academic disciplines. This trend is further reinforced by government policies at both national and international levels, which actively promote collaborative research initiatives.
Amin Gino Fabbrucci Barbagli   +2 more
openaire   +2 more sources

Authorship Structures and Collaboration Networks in Tourism Journals

Journal of Hospitality and Tourism Education, 2021
Mehmet Ali Köseoglu, Brian Em KING
exaly  

Authorship Identification of a Russian-Language Text Using Support Vector Machine and Deep Neural Networks

Future Internet, 2021
Anna Kurtukova   +2 more
exaly  

Source Code Authorship Identification Using Deep Neural Networks

Symmetry, 2020
Anna Kurtukova   +2 more
exaly  

A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification

Lecture Notes in Networks and Systems, 2023
Ayla GÜLCÜ   +2 more
exaly  

Co-authorship Networks: An Introduction

2018
Miloš Savić   +2 more
openaire   +1 more source

Home - About - Disclaimer - Privacy