Combinatorial analysis of multiple networks

M Magnani, B Micenkova, L Rossi - arxiv preprint arxiv:1303.4986, 2013 - arxiv.org
The study of complex networks has been historically based on simple graph data models
representing relationships between individuals. However, often reality cannot be accurately …

Formation of multiple networks

M Magnani, L Rossi - … , Behavioral-Cultural Modeling and Prediction: 6th …, 2013 - Springer
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 …

Pareto distance for multi-layer network analysis

M Magnani, L Rossi - … on Social Computing, Behavioral-Cultural Modeling …, 2013 - Springer
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 …

[HTML][HTML] A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators.

DS Rahayu, ZA Husodo, J Pidanic, X Li… - International Journal …, 2025 - ijtech.eng.ui.ac.id
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 …

Forward backward similarity search in knowledge networks

B Shi, L Yang, T Weninger - Knowledge-Based Systems, 2017 - Elsevier
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 …

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 …