Skip to search formSkip to main contentSkip to account menu

Network science

Known as: Network, Terrorist network analysis 
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
Barabási–Albert modelBetweenness centralityBianconi–Barabási modelBiological network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Packet-Level Analytics in Software without Compromises
Traditionally, network monitoring and analytics systems rely on aggregation (e.g., flow records) or sampling to cope with high… 
2015
2015
Every Answer Has a Question: Exploring Communication and Knowledge Exchange in MOOCs Through Learning Analytics
This paper aims to explore the use of common learning analytics methods, such as activity metrics and network analytics, in order… 
2014
2014
Connectedness of users-items networks and recommender systems
2013
2013
Group detection in complex networks: An algorithm and comparison of the state of the art
2013
2013
Explosive synchronization on co-evolving networks
Many realistic dynamics are based on complicated networks such as the co-evolving networks with mutual correlation, in contrast… 
2013
2013
Time Series Analysis of Networks: Evaluating the Effectiveness of Sanctions on Iran
Abstract : The team developed a time series analysis method to examine how a network changes over time. Provided time-stamped… 
2012
2012
Traffic-driven epidemic spreading on networks of mobile agents
The question as to how traffic or transportation processes on complex networks can shape the dynamics of epidemic spreading is of… 
2011
2011
Dynamics On and Of Complex Networks V
Vélo’v 
2010
2010
Did Social Networks Shape Language Evolution? A Multi-Agent Cognitive Simulation
Natural language as well as other communication forms are constrained by cognitive function and evolved through a social process… 
2009
2009
Relating Granger causality to directed information theory for networks of stochastic processes
This paper addresses the problem of inferring circulation of information between multiple stochastic processes. We discuss two… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)