This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applicatio...
The scientific study of networks, including computer networks, social networks, and biological netwo...
There is nowadays a constant flux of data being generated and collected in all types of real world ...
Many types of social media metadata come in forms of temporal networks, networks where we have infor...
The concept of temporal networks is an extension of complex networks as a modeling framework to incl...
The power of any kind of network approach lies in the ability to simplify a complex system...
Complex networks have been extensively studied in the past 15 years and with increasing details. How...
Complex networks have been extensively studied in the past 15 years and with increasing details. How...
This thesis studies Temporal Graphs, also called Temporal Networks. More specifically, the project a...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
Network neuroscience has become an established paradigm to tackle questions related to the functiona...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
Abstract Three fundamental elements to understand human information networks are the individuals (ac...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
| openaire: EC/H2020/654024/EU//SoBigDataNetworks (or graphs) are used to represent and analyze larg...
Networks encode relational structures between entities that do not generally abide by the conditiona...
The scientific study of networks, including computer networks, social networks, and biological netwo...
There is nowadays a constant flux of data being generated and collected in all types of real world ...
Many types of social media metadata come in forms of temporal networks, networks where we have infor...
The concept of temporal networks is an extension of complex networks as a modeling framework to incl...
The power of any kind of network approach lies in the ability to simplify a complex system...
Complex networks have been extensively studied in the past 15 years and with increasing details. How...
Complex networks have been extensively studied in the past 15 years and with increasing details. How...
This thesis studies Temporal Graphs, also called Temporal Networks. More specifically, the project a...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
Network neuroscience has become an established paradigm to tackle questions related to the functiona...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
Abstract Three fundamental elements to understand human information networks are the individuals (ac...
Three fundamental elements to understand human information networks are the individuals (actors) in ...
| openaire: EC/H2020/654024/EU//SoBigDataNetworks (or graphs) are used to represent and analyze larg...
Networks encode relational structures between entities that do not generally abide by the conditiona...
The scientific study of networks, including computer networks, social networks, and biological netwo...
There is nowadays a constant flux of data being generated and collected in all types of real world ...
Many types of social media metadata come in forms of temporal networks, networks where we have infor...