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Intrinsically Dynamic Network Communities [article]

Bivas Mitra, Lionel Tabourier, Camille Roth
2011 arXiv   pre-print
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

Bivas Mitra, Lionel Tabourier, Camille Roth
2012 Computer Networks  
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

Alice Albano, Jean-Loup Guillaume, Benedicte Le Grand
2014 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)  
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

Cecilia Siliansky De Andreazzi, Paulo R. Guimarães, Carlos J. Melián
2018 Figshare  
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

Fabiano Baroni, Thomas Nowotny
2011 BMC Neuroscience  
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

Samuel R. P.‐J. Ross, Yuka Suzuki, Michio Kondoh, Kenta Suzuki, Paula Villa Martín, Maria Dornelas
2021 Ecological research  
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

Dazhi Yin, Marcus Kaiser
2021 NeuroImage  
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]

Simone Cenci, Chuliang Song, Serguei Saavedra
2017 bioRxiv   pre-print
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

M.J. Williams, R.M. Whitaker, S.M. Allen
2012 Ad hoc networks  
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

Simone Cenci, Chuliang Song, Serguei Saavedra
2018 Ecology and Evolution  
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

Christopher Gaiteri, Jonathan Rubin
2007 BMC Neuroscience  
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

Chuliang Song, Serguei Saavedra
2018 Proceedings of the Royal Society of London. Biological Sciences  
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

G. Deco, V. Jirsa, A. R. McIntosh, O. Sporns, R. Kotter
2009 Proceedings of the National Academy of Sciences of the United States of America  
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]

Laura E Suarez, Blake A Richards, Guillaume Lajoie, Bratislav Misic
2020 bioRxiv   pre-print
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]

Ming Zhao, Tao Zhou, Bing-Hong Wang
2007 arXiv   pre-print
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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