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Intrinsically Dynamic Network Communities
[article]
2011
arXiv
pre-print
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Community finding algorithms for networks have recently been extended to dynamic data. ...
We eventually introduce intrinsically dynamic metrics to qualify temporal community structure and emphasize their possible role as an estimator of the quality of the community detection - taking into account ...
We introduced intrinsically dynamic metrics to qualify temporal community structure: we could therefore single out communities based on specific patterns of repeated inter-temporal interactions, internal ...
arXiv:1111.2018v1
fatcat:e637qdgogrd2tgd45id76fswxa
Intrinsically dynamic network communities
2012
Computer Networks
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Community finding algorithms for networks have recently been extended to dynamic data. ...
We eventually introduce intrinsically dynamic metrics to qualify temporal community structure and emphasize their possible role as an estimator of the quality of the community detection -taking into account ...
We introduced intrinsically dynamic metrics to qualify temporal community structure: we could therefore single out communities based on specific patterns of repeated inter-temporal interactions, internal ...
doi:10.1016/j.comnet.2011.10.024
fatcat:7po32cup3fbqnnqlxys4ck7sq4
On the use of intrinsic time scale for dynamic community detection and visualization in social networks
2014
2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)
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The analysis of social networks is a challenging research area, in particular because of their dynamic features. ...
We first propose a new way to compute such stable communities, using a different time scale, called intrinsic time. ...
useful for the computation of stable community structure in a dynamic network. ...
doi:10.1109/rcis.2014.6861033
dblp:conf/rcis/AlbanoGG14
fatcat:gromjnp3grgwxirvnnfuwopdv4
si_ecoevo_prsb_methods.pdf from Eco-evolutionary feedbacks promote fluctuating selection and long-term stability of antagonistic networks
2018
Figshare
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Eco-evolutionary dynamics Here we illustrate the eco-evolutionary dynamics in a very simple network (two victims and one exploiter community). ...
Abundance and trait dynamics in time for a very simple network (two victims and one exploiter community) in the scenario with weak environmental and strong interaction selection. ...
doi:10.6084/m9.figshare.5938627
fatcat:f374xfyel5dhfhi64pob72plvq
The effect of intrinsic subthreshold oscillations on the spontaneous dynamics of a ring network with distance-dependent delays
2011
BMC Neuroscience
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In this study, we report the dynamics of a network of excitatory and inhibitory neurons, with different intrinsic properties, spatially arranged on a ring network with distance-dependent delays. ...
Most importantly, intrinsic dynamical properties of individual neurons greatly affected the spiking distribution across cells resulting from a given spatial distribution. ...
In this study, we report the dynamics of a network of excitatory and inhibitory neurons, with different intrinsic properties, spatially arranged on a ring network with distance-dependent delays. ...
doi:10.1186/1471-2202-12-s1-p236
pmcid:PMC3240341
fatcat:k766yrjxd5hbxdwceuxosxxjv4
Illuminating the intrinsic and extrinsic drivers of ecological stability across scales
2021
Ecological research
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interspecific interactions as an intrinsic driver of community dynamics. ...
Next, we examine energy landscape analysis as a method for inferring stability and transience during community assembly and its interaction with spatial scale, emphasizing the intrinsic role of compositional ...
At small spatial scales, interaction variability is an intrinsic source of variation affecting community network structure. ...
doi:10.1111/1440-1703.12214
fatcat:k2jgyky4gzbrvifigxvrvbmtji
Understanding Neural Flexibility From a Multifaceted Definition
2021
NeuroImage
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brain function dynamics. ...
., intrinsic/task-evoked), and different definitions are used. Moreover, recent studies have argued that neural processing may be more than a task-driven and intrinsic dichotomy. ...
Using the dynamical community detection technique, a high flexibility of frontal brain networks has been substantiated during working memory processes. ...
doi:10.1016/j.neuroimage.2021.118027
pmid:33836274
fatcat:3ls4imhswjgdvpk2x5jdneo7im
Rethinking the importance of the structure of ecological networks under an environment-dependent framework
[article]
2017
bioRxiv
pre-print
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We hypothesize that only by studying systematically the link between network structure and community dynamics under an environment-dependent framework, we can uncover the limits at which communities can ...
A major quest in network and community ecology has been centered on understanding the importance of structural patterns in species interaction networks---the synthesis of who interacts with whom in a given ...
Recall that this domain is defined by the particular dynamics and network structure of a community [42] . ...
doi:10.1101/219691
fatcat:w7qizhzfibcpxljkqna2pyrwui
Decentralised detection of periodic encounter communities in opportunistic networks
2012
Ad hoc networks
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In this paper, we introduce a comprehensive model and decentralised algorithm to accomplish the detection of periodic communities in opportunistic networks. ...
This has widespread applicability, not least for future communication systems where content can be locally shared via wireless opportunistic networking when devices carried by participants come into close ...
Other recent research into the dynamics of community structure, such as that of Palla et al. [9] , has analysed the evolution of networks over time. ...
doi:10.1016/j.adhoc.2011.07.008
fatcat:jlk2izqnzbeyvgooc4nvh4f42q
Rethinking the importance of the structure of ecological networks under an environment-dependent framework
2018
Ecology and Evolution
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in ecological networks and how communities may respond under future scenarios of climate change. ...
A major quest in network and community ecology has been centered on understanding the importance of structural patterns in species interaction networks-the synthesis of who interacts with whom in a given ...
Recall that this domain is completely linked to the particular dynamics and network structure of a community. ...
doi:10.1002/ece3.4252
pmid:30073049
pmcid:PMC6065350
fatcat:yh74vetazrafpgcdp2pg5nxequ
How intrinsic dynamics and coupling architecture interact to generate bursting dynamics in a model network of respiratory conditional pacemakers
2007
BMC Neuroscience
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Although networks consisting solely of intrinsic bursters can generate synchronized bursting, the presence of intrinsically quiescent and intrinsically tonic cells was found to enhance the coherence of ...
In small-world simulations, we manipulated the intrinsic dynamics of the cells at nodes involved in long-range interactions. ...
Although networks consisting solely of intrinsic bursters can generate synchronized bursting, the presence of intrinsically quiescent and intrinsically tonic cells was found to enhance the coherence of ...
doi:10.1186/1471-2202-8-s2-p184
fatcat:dcp6bmraxjdazjsogrz6thkwiu
Structural stability as a consistent predictor of phenological events
2018
Proceedings of the Royal Society of London. Biological Sciences
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Thus, finding consistent predictors of phenological events is of central importance for a better assessment of expected changes in the temporal dynamics of ecological communities. ...
Here we introduce a measure of structural stability derived from species interaction networks as an estimator of the expected range of environmental conditions compatible with the existence of a community ...
This measure of structural stability of a feasible community is derived from a given interaction network and population dynamics model [22, 26] . ...
doi:10.1098/rspb.2018.0767
pmid:29899073
fatcat:4t5dzhhdbjc2riykj5ajes6hv4
Key role of coupling, delay, and noise in resting brain fluctuations
2009
Proceedings of the National Academy of Sciences of the United States of America
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of intrinsic network constraints. ...
dynamics because of the intrinsic properties mentioned above. ...
Network Dynamics. ...
doi:10.1073/pnas.0901831106
pmid:19497858
pmcid:PMC2690605
fatcat:b2w434sqhbgrji7jhdebg5tuba
Learning function from structure in neuromorphic networks
[article]
2020
bioRxiv
pre-print
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Throughout, we observe a prominent interaction between network structure and dynamics, such that the same underlying architecture can support a wide range of learning capacities across dynamical regimes ...
We then train these neuromorphic networks to learn a cognitive task. We show that biologically realistic neural architectures perform optimally when they display critical dynamics. ...
(a) Memory capacity of intrinsic networks across dynamical regimes. ...
doi:10.1101/2020.11.10.350876
fatcat:titwdwrdh5el3g3vdmk4f3iogi
Synchronization on complex networks with different sorts of communities
[article]
2007
arXiv
pre-print
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We identify the communities by the intrinsic frequencies probability density g(ω) of Kuramoto oscillators. That is to say, communities in different sorts are functional different. ...
For a network containing two sorts of communities, when the community strength is strong, only the oscillators in the same community synchronize. ...
Acknowledgments The authors would like to acknowledge Hui-Jie Yang and Jian-Guo Liu for valuable discussion and sugges-tions, and Gang Yan for providing the C program of network model. ...
arXiv:0711.0530v1
fatcat:dlyp5smj2nei3pqgn37eupdvny
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