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Multiplex Graph Association Rules for Link Prediction [article]

Michele Coscia, Michael Szell
2020 arXiv   pre-print
We derive such rules by identifying all frequent patterns in a network via multiplex graph mining, and then score each unobserved link's likelihood by finding the occurrences of each rule in the original  ...  Multiplex networks allow us to study a variety of complex systems where nodes connect to each other in multiple ways, for example friend, family, and co-worker relations in social networks.  ...  Related Work In this paper we address multiplex link prediction via mining graph association rules, implying that we need to perform frequent pattern mining over a multiplex network.  ... 
arXiv:2008.08351v1 fatcat:kkdh56qo4fhxhbjpdbmnbxkd7m

Data Mining In Social Network Analysis

2018 Zenodo  
Analysis of interactions happening is complex. Social network analysis (SNA) is a useful way to analyse .  ...  In this paper we have discussed the various data mining techniques used for social network analysis.  ...  Data mining discovers information hidden from large databases Social Network Analysis is a research strategy that helps researchers find patterns of a set of actors.  ... 
doi:10.5281/zenodo.1445979 fatcat:iram2z73fre5lmupj25ae7yze4

Local Exceptionality Detection on Social Interaction Networks [chapter]

Martin Atzmueller
2016 Lecture Notes in Computer Science  
and pattern mining.  ...  complex) interactions.  ...  However, we can also analyze subgroups in a social interaction network from a compositional perspective, i. e., neglecting the graph structure.  ... 
doi:10.1007/978-3-319-46131-1_39 fatcat:45r6ztnmxrhylpj3muwv7sdzqi

Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation

Hongshu Chen, Xinna Song
2021 iConference  
The proposed framework integrates techniques of bibliometrics, complex network analysis, and text mining to reveal the evolution of both participants interactions and their collaborative knowledge structure  ...  in a two-layers multiplex network.  ...  The proposed framework integrates techniques of bibliometrics, complex network analysis, and text mining to reveal the evolution of both UI cooperation and their knowledge transformation in a multiplex  ... 
dblp:conf/iconference/ChenS21 fatcat:dh666kl4bbdfndmudzbvjrwvz4

A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System

Zhongke Gao, Weidong Dang, Chaoxu Mu, Yuxuan Yang, Shan Li, Celso Grebogi
2018 IEEE Transactions on Industrial Informatics  
Increasingly advanced technology allows the monitoring of complex systems from a wide variety of perspectives.  ...  As a development of modality transition theory, we first present a novel multiplex network-based model for multichannel sensor information fusion.  ...  Moreover, because of the multiplex character of real-world systems, the interest of complex network has gradually changed from single-layer network to multilayer network [29] , especially multiplex networks  ... 
doi:10.1109/tii.2017.2785384 fatcat:guocrlijh5brdmnfc7ceotypr4

The Dynamical Interplay of Collective Attention, Awareness and Epidemics Spreading in the Multiplex Social Networks during COVID-19

Marialisa Scata, Barbara Attanasio, Grazia Veronica Aiosa, Aurelio La Corte
2020 IEEE Access  
Our proposed modeling approach structures a systematically understanding as a social network marker of interdependent collective dynamics through the introduction of the multiplex dimension of both networked  ...  networks.  ...  mined from social networks.  ... 
doi:10.1109/access.2020.3031014 pmid:34812363 pmcid:PMC8545290 fatcat:aawz3f2gs5dpxaeemti4pc7mia

Rich gets simpler

Renaud Lambiotte
2016 Proceedings of the National Academy of Sciences of the United States of America  
The study of temporal networks starts from the observation that real-world interacting systems exhibit nontrivial temporal patterns.  ...  In temporal networks, the time series of link activations (e.g., when a calls b in a communication network) may present complex temporal patterns.  ...  Acknowledgments This work was supported by the Actions de Recherche Concertée (ARC) Mining and Optimization of Big Data Models and the Belgian Network Dynamical Systems, Control, and Optimization, funded  ... 
doi:10.1073/pnas.1612364113 pmid:27555586 pmcid:PMC5018761 fatcat:23hggxkbx5cnxdux45ri57v4zu

Mining Essential Relationships under Multiplex Networks [article]

Liu Weiyi, Chen Lingli, Hu Guangmin
2015 arXiv   pre-print
From experiments study of Indonesian Terrorists dataset, this new metric similarity rate function well for giving us a way to uncover essential relationships from lots of appearances.  ...  In this paper, first of all we propose a new metric "similarity rate" in order to capture the changing rate of similarities between node-pairs though all networks; secondly, we try to use this new metric  ...  ACKNOWLEDGMENT Thanks for all advices coming from anonymous referees, and this work was supported by National Natural Science Foundation of China (No.61301274).  ... 
arXiv:1511.09134v1 fatcat:x52aephpizgibixb7vo57bjrcq

Multiplex Structures: Patterns of Complexity in Real-World Networks [article]

Bo Yang, Jiming Liu
2010 arXiv   pre-print
This work also contributes a mathematical tool for analyzing different sources of networks from a new perspective of unveiling multiplex structures, which will be beneficial to multiple disciplines including  ...  Here, we show that most individual real-world networks demonstrate multiplex structures.  ...  Defining multiplex structures The main steps of our strategies for detecting multiplex structures from networks can be stated as follows: 1) simultaneously estimating all kinds of couplings mentioned above  ... 
arXiv:1009.2054v3 fatcat:qx4vx3ytxrfe5dnp6h7atze7da

Patterns of Multiplex Layer Entanglement Across Real and Synthetic Networks [chapter]

Blaž Škrlj, Benjamin Renoust
2019 Studies in Computational Intelligence  
Real world complex networks often exhibit multiplex structure, connecting entities from different aspects of physical systems such as social, transportation and biological networks.  ...  Finally, we design a multiplex network generator, where similar patterns (as observed in real networks), are emerging over the analysis of 11,905 synthetic multiplex networks with various topological properties  ...  The abstraction of multiplex networks offers a structure, capable of capturing the key parts of such systems, such as connectivity patterns.  ... 
doi:10.1007/978-3-030-36683-4_54 fatcat:fz55763qcndi3fn7etmxkkvuiy

A Multiplex Social Contagion Dynamics Model to shape and discriminate D2D content dissemination

Marialisa Scata, Alessandro Di Stefano, Aurelio La Corte, Pietro Lio
2020 IEEE Transactions on Cognitive Communications and Networking  
We propose a novel bio-inspired approach for quantifying the impact of the social multiplex structure on D2D contents' dissemination.  ...  Following an IoP perspective, we believe that the knowledge of social multiplex interactions and dynamics could drive more sustainable growth.  ...  To this aim, an interesting point to untangle, introducing the social multiplex representation of users, is the knowledge mining of the network structure and its dynamics.  ... 
doi:10.1109/tccn.2020.3027697 fatcat:bevlswfd5fasjmrl7a5zicggm4

Frequent pattern mining in multidimensional organizational networks

László Gadár, János Abonyi
2019 Scientific Reports  
Network analysis can be applied to understand organizations based on patterns of communication, knowledge flows, trust, and the proximity of employees.  ...  The novelty of our approach resides in the evaluation of people in organizations as frequent multidimensional patterns of multilayer networks.  ...  Acknowledgements The research has been supported by the National Research, Development and Innovation Office-NKFIH, through the project OTKA-116674 (Process mining and deep learning in the natural sciences  ... 
doi:10.1038/s41598-019-39705-1 pmid:30824729 pmcid:PMC6397289 fatcat:kaz3ov6bnfga5k3l2h2uyxjs3i

Network structure of multivariate time series

Lucas Lacasa, Vincenzo Nicosia, Vito Latora
2015 Scientific Reports  
dimensional dynamical system through the analysis of the structure of the associated multiplex network.  ...  As a concrete example we then study financial time series, showing that a multiplex network analysis can efficiently discriminate crises from periods of financial stability, where standard methods based  ...  to a different underlying structure of the network of layers.  ... 
doi:10.1038/srep15508 pmid:26487040 pmcid:PMC4614448 fatcat:2f6gdba7srgjjhszttkaoajwze

Community Detection in Multiplex Networks [article]

Matteo Magnani, Obaida Hanteer, Roberto Interdonato, Luca Rossi, Andrea Tagarelli
2021 arXiv   pre-print
A multiplex network models different modes of interaction among same-type entities. In this article we provide a taxonomy of community detection algorithms in multiplex networks.  ...  evaluation of the reviewed methods to answer three main questions: to what extent the evaluated methods are able to detect ground-truth communities, to what extent different methods produce similar community structures  ...  The pattern mining approach exploits association rule mining methods, which are among the main data mining tasks used to find objects that frequently co-occur together in different transactions.  ... 
arXiv:1910.07646v3 fatcat:vxfxgpohurg4pf4tgr57cmljcm

Modeling the sustainability of community health networks: novel approaches for analyzing collaborative organization partnerships across time

Mark A Manning, Aliccia Bollig-Fischer, Lisa Berry Bobovski, Peter Lichtenberg, Robert Chapman, Terrance L Albrecht
2013 Translational Behavioral Medicine  
At the overall network level, sustainability was seen in the growth of outgoing connections and multiplexity.  ...  Growth modeling indicated the effects of continuing network membership and participation in collaborative events on several structural markers of sustainability.  ...  Mean network multiplexity declined from highs of 0.42 (2005) and 0.47 (2006) to a low of 0.36 (2009).  ... 
doi:10.1007/s13142-013-0220-5 pmid:24653776 pmcid:PMC3958587 fatcat:znaumsxlq5dgxg7kisqt5n6iou
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