Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,397,756 papers from all fields of science
Search
Sign In
Create Free Account
Co-occurrence networks
Co-occurrence networks are generally used to provide a graphic visualization of potential relationships between people, organizations, concepts or…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
10 relations
Broader (3)
Computational linguistics
Data mining
Open-source intelligence
Data domain
Link analysis
MEDLINE
Natural language processing
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Forest cover and landscape heterogeneity shape ant–plant co-occurrence networks in human-dominated tropical rainforests
Erick J. Corro
,
D. Ahuatzin
,
+4 authors
W. Dáttilo
Landscape Ecology
2018
Corpus ID: 254744304
The effects of habitat loss and fragmentation on biodiversity involve a series of mechanisms and processes that cannot be studied…
Expand
2016
2016
Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases
Raf Guns
Journal of Data and Information Science
2016
Corpus ID: 53050334
Abstract Purpose This study aims to answer the question to what extent different types of networks can be used to predict future…
Expand
2016
2016
Visualising Text Co-occurrence Networks
Laurence Hirsch
,
Simon Andrews
CSTIW@ICCS
2016
Corpus ID: 2418205
We present a tool for automatically generating a visual summary of unstructured text data retrieved from documents, web sites or…
Expand
2015
2015
LaNCoA: A Python toolkit for Language Networks Construction and Analysis
D. Margan
,
A. Meštrović
International Convention on Information and…
2015
Corpus ID: 10274570
In this paper we describe LaNCoA, Language Networks Construction and Analysis toolkit implemented in Python. The toolkit provides…
Expand
2015
2015
Event Relations Extraction Based on Event Co-occurrence Network
Tao Liao
,
Peipei Sun
,
Zongtian Liu
International Symposium on Computational…
2015
Corpus ID: 16226183
Cognitive scientists believe that humans memorize and understand the real world through "event". Event relations extraction has…
Expand
2014
2014
Initial Comparison of Linguistic Networks Measures for Parallel Texts
Kristina Ban
,
A. Meštrović
,
Sanda Martinčić-Ipšić
arXiv.org
2014
Corpus ID: 17274383
This paper presents preliminary results of Croatian syllable networks analysis. Syllable network is a network in which nodes are…
Expand
2014
2014
Comparison of the language networks from literature and blogs
Sabina Sisovic
,
Sanda Martinčić-Ipšić
,
A. Meštrović
International Convention on Information and…
2014
Corpus ID: 11765533
In this paper we present the comparison of the linguistic networks from literature and blog texts. The linguistic networks are…
Expand
2010
2010
Technical report on Automatic Identification of Paedophile Keywords Measurement and Analysis of P 2 P Activity Against Paedophile Content project
Christian Belbèze
,
David Chavalarias
,
+7 authors
A. Žiberna
2010
Corpus ID: 8592331
Accurate and up-to-date knowledge of keywords entered by users who search or provide paedophile content is a key resource for…
Expand
Review
2007
Review
2007
Extraction of Statistical Terms and Co-occurrence Networks from Newspapers
Haruka Saito
,
H. Kawai
,
Masaaki Tsuchida
,
H. Mizuguchi
,
D. Kusui
NTCIR Conference on Evaluation of Information…
2007
Corpus ID: 7573841
In this paper, we automatically extract statistical terms and build their co-occurrence networks from newspapers. Statistical…
Expand
2007
2007
Multi-level analysis of an interaction network between individuals in a mailing-list
R. Dorat
,
Matthieu Latapy
,
Bernard Conein
,
Nicolas Auray
Ann. des Télécommunications
2007
Corpus ID: 12950096
It is well known now that most real-world complex networks have some properties which make them very different from random…
Expand
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)
ACCEPT & CONTINUE