Hyperbolic mapping of complex networks based on community information

2016 ◽  
Vol 455 ◽  
pp. 104-119 ◽  
Author(s):  
Zuxi Wang ◽  
Qingguang Li ◽  
Fengdong Jin ◽  
Wei Xiong ◽  
Yao Wu
Keyword(s):  
Complex Networks ◽  
Community Information ◽  
Hyperbolic Mapping

Link Prediction in Complex Networks

2020 ◽  
pp. 1196-1236
Author(s):  
Manisha Pujari ◽  
Rushed Kanawati
Keyword(s):  
Complex Networks ◽  
Link Prediction ◽  
Class Imbalance ◽  
Rank Aggregation ◽  
General Description ◽  
Multiplex Network ◽  
Community Information ◽  
Target Network ◽  
Definition Of ◽  
Prediction Approach

This chapter presents the problem of link prediction in complex networks. It provides general description, formal definition of the problem and applications. It gives a state-of-art of various existing link prediction approaches concentrating more on topological approaches. It presents the main challenges of link prediction task in real networks. There is description of our new link prediction approach based on supervised rank aggregation and our attempts to deal with two of the challenges to improve the prediction results. One approach is to extend the set of attributes describing an example (pair of nodes) calculated in a multiplex network that includes the target network. Multiplex networks have a layered structure, each layer having different kinds of links between same sets of nodes. The second way is to use community information for sampling of examples to deal with the problem of class imbalance. All experiments have been conducted on real networks extracted from well-known DBLP bibliographic database.

Link Prediction in Complex Networks

2016 ◽  
pp. 58-97 ◽  
Author(s):  
Manisha Pujari ◽  
Rushed Kanawati
Keyword(s):  
Complex Networks ◽  
Link Prediction ◽  
Class Imbalance ◽  
Rank Aggregation ◽  
General Description ◽  
Multiplex Network ◽  
Community Information ◽  
Target Network ◽  
Definition Of ◽  
Prediction Approach

This chapter presents the problem of link prediction in complex networks. It provides general description, formal definition of the problem and applications. It gives a state-of-art of various existing link prediction approaches concentrating more on topological approaches. It presents the main challenges of link prediction task in real networks. There is description of our new link prediction approach based on supervised rank aggregation and our attempts to deal with two of the challenges to improve the prediction results. One approach is to extend the set of attributes describing an example (pair of nodes) calculated in a multiplex network that includes the target network. Multiplex networks have a layered structure, each layer having different kinds of links between same sets of nodes. The second way is to use community information for sampling of examples to deal with the problem of class imbalance. All experiments have been conducted on real networks extracted from well-known DBLP bibliographic database.

Complex Networks

2009 ◽  
Author(s):  
Reuven Cohen ◽  
Shlomo Havlin
Keyword(s):  
Complex Networks

Design Parameters Of A Comfortable Living Environment In The Normative Documentation

2020 ◽  
pp. 51-56
Keyword(s):  
Russian Federation ◽  
Living Environment ◽  
National Standards ◽  
Design Parameters ◽  
Internal Space ◽  
Environment Quality ◽  
Indoor Environment Quality ◽  
Community Information ◽  
Normative Documentation ◽  
The Russian Federation

Currently, the professional construction community information field is largely filled with the topic of creating a comfortable living environment. However, architectural and engineering design that corresponds to the concept of sustainable development is currently hindered due to the lack of a formed conceptual framework that reveals the meaning of the term "comfort", as well as a criteria list that determines the indoor environment quality in the Russian Federation regulatory and technical framework. The article offers some components of a comfortable living environment, within which the parameters of designing the internal environment of premises are highlighted. A comparative analysis of the national standards of the Russian Federation regulating the design of the internal space of residential and public buildings, with international "green" standards for a number of parameters was carried out. It is concluded that it is necessary to update the Russian regulatory and technical base taking into account the international experience of "green" standards.

Complex Networks from Simple Rules

2013 ◽  
Vol 22 (2) ◽  
pp. 151-174 ◽  
Author(s):  
Richard Southwell ◽  
Jianwei Huang ◽  
Chris Cannings ◽  
◽  
Keyword(s):  
Complex Networks ◽  
Simple Rules
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