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Internal links and pairs as a new tool for the analysis of bipartite complex networks
[article]
2011
arXiv
pre-print
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We introduce here internal links and pairs as a new notion useful for such analysis: it gives insights on the information lost by projecting the bipartite graph. ...
Many real-world complex networks are best modeled as bipartite (or 2-mode) graphs, where nodes are divided into two sets with links connecting one side to the other. ...
Acknowledgements This work is supported in part by the French ANR MAPE project. ...
arXiv:1104.4418v2
fatcat:rgtdtsgsszc7xcmjtelemjihae
Internal links and pairs as a new tool for the analysis of bipartite complex networks
2012
Social Network Analysis and Mining
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We introduce here internal links and pairs as a new notion useful for a bipartite analysis, and which gives insights on the information lost by projecting the bipartite graph. ...
Many real-world complex networks are best modeled as bipartite (or 2-mode) graphs, where nodes are divided into two sets with links connecting one side to the other. ...
Acknowledgements This work is supported in part by the French ANR MAPE project. ...
doi:10.1007/s13278-012-0053-0
fatcat:ppolhphax5berobkw5h2srzmmi
The Study About the Analysis of Responsiveness Pair Clustering Tosocial Network Bipartite Graph
2013
Advanced Computing An International Journal
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Then, the "The regional information" and "The information of purchase history (Where and what bought information)" are captured as bipartite graph, and Responsiveness Pair Clustering analysis (a clustering ...
In this study, since it was found to be difficult to analyze a network such as bipartite graph having limitations in links by using modularity Q, responsiveness is used instead of modularity Q as similarity ...
As a result, there are three nodes and two links in the network. ...
doi:10.5121/acij.2013.4601
fatcat:546lhsjz6jeqxllfgz2gcfxadm
Bipartite Graph Analysis as an Alternative to Reveal Clusterization in Complex Systems
2018
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)
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As a case study we consider scientific knowledge, which is represented as a complex bipartite network of articles and related concepts. ...
We demonstrate how analysis of co-clustering in bipartite networks may be used as a bridge to connect, compare and complement clustering results about community structure in two different spaces: single-mode ...
A pair of numbers in a bipartite network gives the number of concepts and the number of articles in each cluster of a bipartite network. ...
doi:10.1109/dsmp.2018.8478505
fatcat:foguoixjlfconhjwuusj2yvowe
NETZCOPE: A TOOL FOR DISPLAYING AND ANALYZING COMPLEX NETWORKS
[chapter]
2011
Quantum Bio-Informatics IV
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2010 pre-print arXiv:1006.4294v1 fatcat:hs4f4gmxfzewrbvudkc464ibe4Other Versions
We present NetzCope, a software application for the display and analysis of networks. ...
Networks are a natural and popular mechanism for the representation and investigation of a broad class of systems. But extracting information from a network can present significant challenges. ...
In this work, we present NetzCope, a software application for the display and analysis of complex networks. ...
doi:10.1142/9789814343763_0034
fatcat:kyymavomzffd5ips6ssl5x2qt4
Modularity in Protein Complex and Drug Interactions Reveals New Polypharmacological Properties
2012
PLoS ONE
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Network medicine has emerged as a new paradigm to deal with complex diseases. Connections between protein complexes and key diseases have been suggested for decades. ...
The network structure is characterized by a high modularity, both in the bipartite graph and in its projections, indicating that its topology is highly distinct from a random network and that it contains ...
Acknowledgments The authors thank Dr. R. Guimerà for fruitful discussions.
Author Contributions ...
doi:10.1371/journal.pone.0030028
pmid:22279562
pmcid:PMC3261189
fatcat:ei4n7zfkizda3fpxaxjd7lwm5e
NeMo: Network Module identification in Cytoscape
2010
BMC Bioinformatics
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As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathways. ...
In this work, we present a novel method to identify densely connected and bipartite network modules based on a log odds score for shared neighbours. ...
Acknowledgements The authors would like to thank Gary Bader for the MCODE source code and helpful comments on the manuscript. ...
doi:10.1186/1471-2105-11-s1-s61
pmid:20122237
pmcid:PMC3009535
fatcat:d3kwtelrqvakleduhugfapkgq4
A network perspective on the virus world
2017
Communicative & Integrative Biology
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As new tools for network analysis are developed, we expect that novel insights into virus evolution will result from the study of more complex representations of the virus world. ...
Here we discuss 3 network representations of the virus world with decreasing levels of complexity, from a multilayer network that integrates sequence conservation and patterns of gene sharing to a classic ...
As new tools for analysis of bipartite networks are developed, it soon will become possible to extend the network analyses to the entire virosphere and compare the findings from this approach with the ...
doi:10.1080/19420889.2017.1296614
pmid:28451057
pmcid:PMC5398231
fatcat:3vdnqswglzhbhkusxeotoe7rwe
Applying graph-based data mining concepts to the educational sphere
2015
Proceedings of the 16th International Conference on Computer Systems and Technologies - CompSysTech '15
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Since a huge amount of data (which is detailed as well) is produced by the complex administration systems of educational institutes, instead of the classical statistical methods, new types of data processing ...
In this study, we discuss the possible application of the ubiquitous complex network approach for information extraction from educational data. ...
This work is supported by the European Union and cofunded by the European Social Fund. Project title: The denouement of talent in favour of the excellence of the University of Szeged. ...
doi:10.1145/2812428.2812436
dblp:conf/compsystech/LondonPHN15
fatcat:yagrbxqndbddxl4qtx6ty72d7y
The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution
[chapter]
2019
Msphere
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In recent years, development of new methods for the construction and analysis of networks has helped to broaden the availability of these approaches from programmers to a diversity of users. ...
networks and bipartite graphs, and a guide for their construction and analyses. ...
Visualization of networks can be performed with programs such as Cytoscape [54] or Gephi [55] , both of which also have a range of internal tools and external plugins for network analysis. ...
doi:10.1007/978-1-4939-9074-0_9
pmid:31278668
fatcat:xcwsltl35bfk7enmoobtt5asr4
Colombian export capabilities: building the firms-products network
[article]
2018
Entropy
accepted
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Interestingly, this finding is refined by applying a recently-proposed algorithm for projecting bipartite networks on the layer of interest and, then, running the Louvain algorithm on the resulting monopartite ...
In this paper we analyse the bipartite Colombian firms-products network, throughout a period of five years, from 2010 to 2014. ...
More precisely, we analyze the bipartite network of Colombian exports using data at the firm level for the period 2010-2014 by employing tools developed within the field of information theory and complex ...
doi:10.3390/e20100785
pmid:33265873
pmcid:PMC7512347
arXiv:1809.03222v2
fatcat:w2b4kglbnfhn7mzwuzwve4irzu
Embedding technique and network analysis of scientific innovations emergence in an arXiv-based concept network
[article]
2020
arXiv
pre-print
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Combining approaches developed in complex networks science and graph embedding, we discuss the predictability of edges (links) on the scientific knowledge landscape where the innovations may appear. ...
Novelty is an inherent part of innovations and discoveries. Such processes may be considered as an appearance of new ideas or as an emergence of atypical connections between the existing ones. ...
A part of this work has been performed in the frames of the Master thesis by S.B. in Ukrainian Catholic University (Lviv, Ukraine). ...
arXiv:2003.10289v1
fatcat:hibdyv3h5fcjbnmdql52spdqt4
Complex networks analysis in socioeconomic models
[article]
2014
arXiv
pre-print
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This chapter aims at reviewing complex networks models and methods that were either developed for or applied to socioeconomic issues, and pertinent to the theme of New Economic Geography. ...
As the most frequently used model for interacting agent-based systems, a brief description of the statistical mechanics of the classical Ising model on regular lattices, together with recent extensions ...
Acknowledgment: This work has been performed in the framework of COST Action IS1104 "The EU in the new economic complex geography: models, tools and policy evaluation". ...
arXiv:1403.6767v2
fatcat:hv6223ai7vf5tpnekb52ku2ypa
Network-Based Approaches to Explore Complex Biological Systems towards Network Medicine
2018
Genes
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The framework of regulatory networks provides a powerful tool to gather new insights into ceRNA regulatory mechanisms. ...
a systematic analysis of the human PPI network to uncover new disease-associated genes by exploiting the connectivity significance instead of connection density. ...
The representation of complex systems as networks is of paramount importance for visualizing the interactome underlying structure, revealing new functional roles, and proposing new and fresh interpretations ...
doi:10.3390/genes9090437
pmid:30200360
pmcid:PMC6162385
fatcat:hkrmpxhfizbbjcdtdhxdrhfzd4
AN INTEGRATED NETWORK APPROACH TO IDENTIFYING BIOLOGICAL PATHWAYS AND ENVIRONMENTAL EXPOSURE INTERACTIONS IN COMPLEX DISEASES
2015
Biocomputing 2016
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The integrated network approach is a novel method for detecting the biological effects of environmental exposures. ...
To better capture the intricacies of the interactions between environmental exposure and the biological pathways in complex disorders, we integrate both aspects into a single "tripartite" network. ...
Acknowledgments This work was supported by the National Institute of Health (NIH) grants R01 EY022300, LM009012, LM010098, AI59694. Pacific Symposium on Biocomputing 2016 ...
doi:10.1142/9789814749411_0002
fatcat:abuecin2ynarjiea3t4bzk6fja
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