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A Qualitative Approach to Develop Niche Social Networks A Reading Social Networks Case Study
(Scitepress, 2016-01-01)
The daily use of social networks is in growth around the world and this includes niche social networks, which have as a main feature an audience segmented by some kind of affinity that particularizes a group. This paper ...
A qualitative approach to develop niche social networks: A reading social networks case study
(2016-01-01)
The daily use of social networks is in growth around the world and this includes niche social networks, which have as a main feature an audience segmented by some kind of affinity that particularizes a group. This paper ...
Domestic and foreign knowledge sources for innovation in internationalized production networks: the automotive and the iron and steel cases
(2015)
This paper studies the relative relevance of domestic knowledge sources for innovation in internationalized production activities in an emerging economy. Two Production Networks from Argentina with a different kind of ...
Combining social network and data envelopment analysis: A proposal for a Selection Employment Contracts Effectiveness index in healthcare network applications
(2021-09-01)
Combining social network analysis (SNA) and data envelopment analysis (DEA) techniques is a recent and relevant trend in the literature. However, although other works have integrated these techniques, none have done so in ...
Abiotic factors shape temporal variation in the structure of an ant-plant network
(SPRINGERDORDRECHT, 2012-06)
Despite recognition of key biotic processes in shaping the structure of biological communities, few empirical studies have explored the influences of abiotic factors on the structural properties of mutualistic networks. ...
Semi-supervised learning guided by the modularity measure in complex networks
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
Semi-supervised learning techniques have gained increasing attention in the machine learning community, as a result of two main factors: (1) the available data is exponentially increasing; (2) the task of data labeling is ...
Community detection in networks
(World Scientific, 2010-04)
The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the ...
Weighting dissimilarities to detect communities in networks
(Royal Soc., 2015)
Many complex systems can be described as networks exhibiting inner organization as communities of nodes. The identification of communities is a key factor to understand community-based functionality. We propose a family ...
Critical factors in the formation and development of technology-based firm networks in incubation environments in Brazil
(World Scientific Publishing Company, 2022)
Understanding the structure of school staff advice relations: an inferential social network perspective
(Elsevier, 2020)
Understanding the structure of staff advice relationships and the factors that facilitate (and hinder) the flow of resources within schools is key to school improvement. Our study examines school staff advice networks for ...