2007
DOI: 10.1016/j.cam.2006.04.024
|View full text |Cite
|
Sign up to set email alerts
|

Choosing a leader on a complex network

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
7
0

Year Published

2007
2007
2021
2021

Publication Types

Select...
5
5

Relationship

1
9

Authors

Journals

citations
Cited by 19 publications
(7 citation statements)
references
References 8 publications
0
7
0
Order By: Relevance
“…In these networks nodes represent the different elements of the system and edges stand for the interactions or relationships between them [1]. In network analysis, a key point is to devise measures suitable for quantifying the strategic importance of a node, an edge, a set of nodes, or a set of edges, with the goal of identifying the optimal functioning of the system represented by the network [2][3][4][5]. Topological measures, such as different versions of vulnerability, efficiency, centrality, and clustering, can be used to quantify, compare, and rank different configurations for a specific system [2,[6][7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…In these networks nodes represent the different elements of the system and edges stand for the interactions or relationships between them [1]. In network analysis, a key point is to devise measures suitable for quantifying the strategic importance of a node, an edge, a set of nodes, or a set of edges, with the goal of identifying the optimal functioning of the system represented by the network [2][3][4][5]. Topological measures, such as different versions of vulnerability, efficiency, centrality, and clustering, can be used to quantify, compare, and rank different configurations for a specific system [2,[6][7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Another type of problems that can be solved by using the techniques introduced in the previous section deal with leadership of nodes. The leadership in complex networks has been studied in the Complex Networks Analysis from very different points of view, including (among others) the use of efficiency and robustness perspective in networks related with cryptography (see [4]) and Personalized PageRank in social networks (see [12]). Roughly speaking a node i is a leader (for the personalized PageRank-based ranking) if its personalized PageRank is maximal among all the nodes of the network for some personalization vector.…”
Section: Some Applicationsmentioning
confidence: 99%
“…The overwhelming popularity of using complex networks in different fields to model the interactions between components of a variety of complex systems is well known [2,5,7,8,20,23,32,44,53,62]. Complex networks have become an indispensable tool for modeling the interactions between components of a complex system in areas as diverse as biology, engineering or social human organization.…”
Section: Introductionmentioning
confidence: 99%