Combinatorial analysis of multiple networks
The study of complex networks has been historically based on simple graph data models
representing relationships between individuals. However, often reality cannot be accurately …
representing relationships between individuals. However, often reality cannot be accurately …
Formation of multiple networks
While most research in Social Network Analysis has focused on single networks, the
availability of complex on-line data about individuals and their mutual heterogenous …
availability of complex on-line data about individuals and their mutual heterogenous …
Pareto distance for multi-layer network analysis
Abstract Social Network Analysis has been historically applied to single networks, eg,
interaction networks between co-workers. However, the advent of on-line social network …
interaction networks between co-workers. However, the advent of on-line social network …
[HTML][HTML] A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators.
Predicting bankruptcy is crucial to avert company failures, which could lead to a systemic
collapse of the economy. This study examines the network of executives, directors, and …
collapse of the economy. This study examines the network of executives, directors, and …
Forward backward similarity search in knowledge networks
Similarity search is a fundamental problem in social and knowledge networks like GitHub,
DBLP, Wikipedia, etc. Existing network similarity measures are limited because they only …
DBLP, Wikipedia, etc. Existing network similarity measures are limited because they only …
Incentives against Max‐Min Fairness in a Centralized Resource System
Z Chen, Z Gu, Y Wang - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Resource allocating mechanisms draw much attention from various areas, and exploring the
truthfulness of these mechanisms is a very hot topic. In this paper, we focus on the max‐min …
truthfulness of these mechanisms is a very hot topic. In this paper, we focus on the max‐min …