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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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2020
2020
Co-occurence networks can be adequately modeled by hyper-bag-graphs (hb-graphs for short). A hb-graph is a family of multisets… 
2018
2018
The effects of habitat loss and fragmentation on biodiversity involve a series of mechanisms and processes that cannot be studied… 
2015
2015
In this paper we describe LaNCoA, Language Networks Construction and Analysis toolkit implemented in Python. The toolkit provides… 
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… 
2014
2014
This paper introduces author-level bibliometric co-occurrence network by discussing its history and contribution to the analysis… 
2010
2010
Accurate and up-to-date knowledge of keywords entered by users who search or provide paedophile content is a key resource for… 
2008
2008
In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co… 
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…