Abstract: Sampling methodologies are widely used in network measurements and other related fields. Most applications mainly focus on parent population statistical metrics estimation of interest. Recent researches reveal that many aspects of network characters present heavy-tailed distribution or self-similarity. These properties might cause a heavy passive effect on the estimation accuracy. In other circumstances, there exist demands on modelin
| openaire: EC/H2020/654024/EU//SoBigDataIn a social network individuals or nodes connect to other n...
Sampling hidden populations is particularly challenging by using standard sampling methods mainly be...
<p>Sampling interaction networks. I explore how to detemine sampling robustness for interaction netw...
Networks can be used to analyze systems in the real world, however they are often too large for our ...
Abstract: Networks can be used to analyze systems in the real world, however they are often too larg...
Network sampling is a technique which may be used to increase the efficiencies of sample surveys aim...
Abstract. Determining the graph-theoretic properties of large real-world networks like social, compu...
In this paper, we propose, develop and evaluate a new adaptive sampling scheme for monitoring and me...
Temporal networks have been increasingly used to model a diversity of systems that evolve in time; f...
Electronic-health relies on extensive computer networks to facilitate access and to communicate vari...
Determining the graph-theoretic properties of large real-world networks like social, computer, and b...
Temporal networks have been increasingly used to model a diversity of systems that evolve in time; f...
We study the statistical properties of the sampled scale-free networks, deeply related to the proper...
This paper introduces and tests a novel methodology for measuring networks. Rather than collecting d...
The rapid growth of real-time applications transmitted over multimedia networks, makes measurement o...
| openaire: EC/H2020/654024/EU//SoBigDataIn a social network individuals or nodes connect to other n...
Sampling hidden populations is particularly challenging by using standard sampling methods mainly be...
<p>Sampling interaction networks. I explore how to detemine sampling robustness for interaction netw...
Networks can be used to analyze systems in the real world, however they are often too large for our ...
Abstract: Networks can be used to analyze systems in the real world, however they are often too larg...
Network sampling is a technique which may be used to increase the efficiencies of sample surveys aim...
Abstract. Determining the graph-theoretic properties of large real-world networks like social, compu...
In this paper, we propose, develop and evaluate a new adaptive sampling scheme for monitoring and me...
Temporal networks have been increasingly used to model a diversity of systems that evolve in time; f...
Electronic-health relies on extensive computer networks to facilitate access and to communicate vari...
Determining the graph-theoretic properties of large real-world networks like social, computer, and b...
Temporal networks have been increasingly used to model a diversity of systems that evolve in time; f...
We study the statistical properties of the sampled scale-free networks, deeply related to the proper...
This paper introduces and tests a novel methodology for measuring networks. Rather than collecting d...
The rapid growth of real-time applications transmitted over multimedia networks, makes measurement o...
| openaire: EC/H2020/654024/EU//SoBigDataIn a social network individuals or nodes connect to other n...
Sampling hidden populations is particularly challenging by using standard sampling methods mainly be...
<p>Sampling interaction networks. I explore how to detemine sampling robustness for interaction netw...