The classification problem is closely related to the clustering problem discussed in Chaps. 6 and 7. While the clustering problem is that of determining similar groups of data points, the …
X Kong, Y Shi, S Yu, J Liu, F Xia - Journal of Network and Computer …, 2019 - Elsevier
In the fast-growing scholarly big data background, social network technologies have recently aroused widespread attention in academia and industry. The concept of academic social …
A theoretical feedback mechanism framework to model consensus in social network group decision making (SN-GDM) is proposed with following two main components:(1) the …
A theoretical visual interaction framework to model consensus in social network group decision making (SN-GDM) is put forward with following three main components:(1) …
Centrality is one of the most studied concepts in social network analysis. There is a huge literature regarding centrality measures, as ways to identify the most relevant users in a …
Using graphs to model pairwise relationships between entities is a ubiquitous framework for studying complex systems and data. Simplicial complexes extend this dyadic model of …
J Becker, D Brackbill, D Centola - Proceedings of the …, 2017 - National Acad Sciences
A longstanding problem in the social, biological, and computational sciences is to determine how groups of distributed individuals can form intelligent collective judgments. Since …
The stakeholder perspective is an alternative way of understanding how companies and people create value and trade with each other. Freeman, Harrison and Zyglidopoulos …
Complex gene–environment interactions are considered important in the development of obesity. The composition of the gut microbiota can determine the efficacy of energy harvest …