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Tracking Temporal Community Strength in Dynamic Networks

Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang
2015 IEEE Transactions on Knowledge and Data Engineering  
Different from previous studies which focus on community detection in dynamic networks, we define a new problem of tracking the progression of the community strength -a novel measure that reflects the  ...  Community formation analysis of dynamic networks has been a hot topic in data mining which has attracted much attention.  ...  ACKNOWLEDGEMENT This work was supported in part by the National Science Foundation under Grant NSF IIS-1218393, 1016929 and 1319973.  ... 
doi:10.1109/tkde.2015.2432815 fatcat:u6yp6zdyszghlpqnd5wzysd4he

Connecting Resource Tracking by Frugivores to Temporal Variation in Seed Dispersal Networks

Jason M. Gleditsch, Amy M. Hruska, Jeffrey T. Foster
2017 Frontiers in Ecology and Evolution  
While trait matching and links that are not possible between species in a community (i.e., forbidden links) play a large role in determining the structure of a network, temporal change in the abundance  ...  Temporal changes in species abundance, such as those caused by vertebrate resource tracking, may create temporal variability in a network though neighborhood effects and influence the directedness of dispersal  ...  Here we suggest a way in which the abundance hypothesis may apply to temporal dynamics of SD networks.  ... 
doi:10.3389/fevo.2017.00098 fatcat:cvtrrwtepba3jbq7bdv5whdcuq

Dynamic Phase Synchrony based Ranked Spatio-Temporal Clustering for Tracking Time-Resolved Functional Brain Networks [article]

Priya Aggarwal, Anubha Gupta
2017 bioRxiv   pre-print
First, multiple temporal models are built from four-mode tensor that are further clustered to detect dynamic brain network communities.  ...  Of late, there has been a growing interest in studying brain networks, particularly, for understanding spontaneous temporal changes in functional brain networks.  ...  Section 3 explains the steps to learn and track dynamic brain network communities and their temporal evolution profile. Section 4 reports experiments with real data.  ... 
doi:10.1101/172981 fatcat:agrgo4bj5vgyrg2ujixzfbfteu

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

James M. Shine, Oluwasanmi Koyejo, Russell A. Poldrack
2016 Proceedings of the National Academy of Sciences of the United States of America  
We then demonstrated that these temporal states were associated with distinct neural dynamics within individual scanning sessions.  ...  These patterns were replicated in a separate longitudinal dataset, providing further supportive evidence for the presence of fluctuations in functional network topology over time.  ...  The data reported in this paper were made publicly available by the MyConnectome Project, the HCP, and the longitudinal Kirby dataset.  ... 
doi:10.1073/pnas.1604898113 pmid:27528672 pmcid:PMC5024627 fatcat:k6xj3u4rgbggbljtftxphg237m

Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy

Ankit N. Khambhati, Kathryn A. Davis, Brian S. Oommen, Stephanie H. Chen, Timothy H. Lucas, Brian Litt, Danielle S. Bassett, Mark Kramer
2015 PLoS Computational Biology  
We develop and apply a novel technique to track network reconfiguration in time and to parse these reconfiguration dynamics into distinct seizure states, each characterized by unique patterns of network  ...  connections that differ in their strength and topography.  ...  Computing Network States Network states, or temporal changes in network geometry, was tracked separately in each epoch by clustering the configuration-similarity matrix through a community detection technique  ... 
doi:10.1371/journal.pcbi.1004608 pmid:26680762 pmcid:PMC4682976 fatcat:stycymawvvglbmcmc2z32kgdoi

Mining social interactions in privacy-preserving temporal networks

Federico Musciotto, Saverio Delpriori, Paolo Castagno, Evangelos Pournaras
2016 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)  
The findings of this paper contribute to the introduction of privacy-preserving data analytics in temporal networks and their applications.  ...  This paper studies highly sparse temporal networks that model social interactions such as the physical proximity of participants in conferences.  ...  Mobile phones, environmental sensors, and social networks can track human mobility, relationships and their significance, especially when the interaction dynamics are represented with temporal networks  ... 
doi:10.1109/asonam.2016.7752378 dblp:conf/asunam/MusciottoDCP16 fatcat:hz3zpzyxcjftplwzhjfmwy4ucm

Page 13448 of The Journal of Neuroscience Vol. 29, Issue 50 [page]

2008 The Journal of Neuroscience  
of network dynamics.  ...  Changes in the environment alter the firing patterns of hippocampal neurons, but are presumably constrained by elements of the network dynamics.  ... 

Analysis on Community Variational Trend in Dynamic Networks

Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang
2014 Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14  
Temporal analysis on dynamic networks has become a popularly discussed topic today, with more and more emerging data over time.  ...  In this paper we investigate the problem of detecting and tracking the variational communities within a given time period.  ...  Defining Temporal Community Strength Given a network sequence {G t }t=1,..  ... 
doi:10.1145/2661829.2662004 dblp:conf/cikm/JiaDGZ14 fatcat:6qounn5mzrgrzhdrghrtxqajg4

Distributed estimation and tracking for radio environment mapping

Ruofan Kong, Wenlin Zhang, Yi Guo
2014 2014 American Control Conference  
Based on the random field model of the REM with shadow fading effects, we adopt consensus-based Kalman filter to estimate and track the temporal dynamic REM variation.  ...  The unknown parameters of REM temporal dynamics are estimated by a distributed Expectation Maximization algorithm that is incorporated with Kalman filtering.  ...  Recovered signal propagation maps facilitate dynamic spectrum sharing, and help communicate the radio spectrum knowledge among common users of cognitive radio networks.  ... 
doi:10.1109/acc.2014.6859200 dblp:conf/amcc/KongZG14 fatcat:ufmeo3ksuvh27m56qd35l7o74e

The network architecture of value learning [article]

Marcelo G Mattar and Sharon L Thompson-Schill and Danielle S Bassett
2016 arXiv   pre-print
These results demonstrate that functional networks dynamically track behavioral improvement in value judgments, and that interactions between network communities form predictive biomarkers of learning.  ...  core of the network.  ...  tracking changes in shared information or communication [33] .  ... 
arXiv:1607.04169v1 fatcat:7ktpsrnjqrfgpa5tqqakgxexfm

Ecosystem size-induced environmental fluctuations affect the temporal dynamics of community assembly mechanisms [article]

Raven L Bier, Máté Vass, Anna J Székely, Silke Langenheder
2022 bioRxiv   pre-print
However, spatial community studies are often conducted only at a single timepoint despite the known influence of temporal variability on community assembly processes.  ...  Understanding processes that determine community membership and abundance is important for many fields from theoretical community ecology to conservation.  ...  Sequencing was performed by the SNP&SEQ Technology Platform in Uppsala. The facility is part of the National Genomics Infrastructure (NGI) Sweden and Science for Life Laboratory.  ... 
doi:10.1101/2022.01.10.475621 fatcat:ysda5kesvfcqjh22xcxe4wo4jy

RemBrain: Exploring Dynamic Biospatial Networks with Mosaic Matrices and Mirror Glyphs

Chihua Ma, Filippo Pellolio, Daniel A. Llano, Kevin Ambrose Stebbings, Robert V. Kenyon, G. Elisabeta Marai
2018 IS&T International Symposium on Electronic Imaging Science and Technology  
We design visual encodings for the dynamic and community characteristics of these temporal networks.  ...  Understanding the dynamics of such networks in the context of demographic factors like age is a fundamental problem in computational systems biology and neuroscience.  ...  Four communities (blue, green, orange, red) are overlaid on mouse brain images, for three time steps, in the bottom image.the tracking of temporal network behaviors.  ... 
doi:10.2352/j.imagingsci.technol.2017.61.6.060404 pmid:30505140 pmcid:PMC6261497 fatcat:ovjrae5tubdobffa5g43w3cwqm

Cohesive network reconfiguration accompanies extended training

Qawi K. Telesford, Arian Ashourvan, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Danielle S. Bassett
2017 Human Brain Mapping  
Yet, approaches for understanding the dynamics of these circuit interactions have been limited. One promising avenue for quantifying and describing these dynamics lies in multilayer network models.  ...  In particular, we identify putative functional modules in multilayer networks and characterize the degree to which nodes switch between modules.  ...  In particular, in the context of dynamic community detection, the node flexibility probes network dynamics in terms of the frequency of community changes.  ... 
doi:10.1002/hbm.23699 pmid:28646563 pmcid:PMC5554863 fatcat:nic5j5fhwzczhleah4h2a6uaq4

Utilizing Dynamic Molecular Modelling Technique for Predicting Changes in Complex Social Networks

Krzysztof Juszczyszyn, Anna Musial, Katarzyna Musial, Piotr Brodka
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
We present a method that utilises dynamic molecular modelling technique in order to track the changes within complex social network.  ...  Based on this information the social network of employees was extracted and then used to evaluate the methodology of social network dynamics modelling proposed by authors.  ...  Experiments and Discussion The experiments were conducted in order to track the temporal changes in the network structure.  ... 
doi:10.1109/wi-iat.2010.228 dblp:conf/iat/JuszczyszynMMB10 fatcat:wy33sngeu5b5bosuhbyjvpmhwa

Understanding diaschisis models of attention dysfunction with rTMS

Javier O. Garcia, Lorella Battelli, Ela Plow, Zaira Cattaneo, Jean Vettel, Emily D. Grossman
2020 Scientific Reports  
When participants engaged in visual tracking, we observed a highly stable network configuration of six distinct communities, each with characteristic properties in node dynamics.  ...  Using methods borrowed from network science, we characterize the induced changes in network dynamics following low frequency (1 Hz) repetitive transcranial magnetic stimulation (rTMS) as an inhibitory  ...  Acknowledgements This study was supported in part by mission funding to the U.S.  ... 
doi:10.1038/s41598-020-71692-6 pmid:32913263 pmcid:PMC7483730 fatcat:n4ffouaja5hvnmxf3lvp7cfz5e
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