Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Abstract. The emergence of complex network structures of relationships between autonomous agents occurs in a wide range of distributed systems. Many researchers have proposed model...
A workshop on Network Analysis and Visualisation was held on September 11, 2005 in Limerick Ireland, in conjunction with 2005 Graph Drawing conference. This report review the backg...
Many of the complex networks that occur both in nature and in technology are built up from frequently recurring patterns of basic structural elements. These structural patterns kn...
Weidong Huang, Colin Murray, Xiaobin Shen, Le Song...
— It is well known that complex networks have become a very important part of our daily lives and have been intensively studied in all fields over the last few years. This paper...
We present a new stochastic model for complex networks, based on a spatial embedding of the nodes, called the Spatial Preferred Attachment (SPA) model. In the SPA model, nodes have...
William Aiello, Anthony Bonato, C. Cooper, Jeannet...
Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
— Over the last few decades, complex networks have been intensively studied throughout many fields of science, especially in biological and engineering sciences. This paper brie...
— One of the most important problems in Mobile Robotics is to realise the complete robot’s autonomy. In order to achieve this goal several tasks have to be accomplished. Among ...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...