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Co-occurrence networks

Co-occurrence networks are generally used to provide a graphic visualization of potential relationships between people, organizations, concepts or… 
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Papers overview

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2018
2018
The effects of habitat loss and fragmentation on biodiversity involve a series of mechanisms and processes that cannot be studied… 
2016
2016
Abstract Purpose This study aims to answer the question to what extent different types of networks can be used to predict future… 
2016
2016
We present a tool for automatically generating a visual summary of unstructured text data retrieved from documents, web sites or… 
2015
2015
In this paper we describe LaNCoA, Language Networks Construction and Analysis toolkit implemented in Python. The toolkit provides… 
2015
2015
Cognitive scientists believe that humans memorize and understand the real world through "event". Event relations extraction has… 
2014
2014
This paper presents preliminary results of Croatian syllable networks analysis. Syllable network is a network in which nodes are… 
2014
2014
In this paper we present the comparison of the linguistic networks from literature and blog texts. The linguistic networks are… 
2010
2010
Accurate and up-to-date knowledge of keywords entered by users who search or provide paedophile content is a key resource for… 
Review
2007
Review
2007
In this paper, we automatically extract statistical terms and build their co-occurrence networks from newspapers. Statistical… 
2007
2007
It is well known now that most real-world complex networks have some properties which make them very different from random…