#networkneuroscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #networkneuroscience, aggregated by home.social.
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I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
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I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
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I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
-
I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
-
I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
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Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems
#NetworkNeuroscience #BrainConnectivity #Connectome #Neuroscience #BrainMapping #GraphTheory #MultilayerNetworks #BrainResearch #Neurotechnology #PersonalizedMedicine #BrainHealth #CognitiveScience #Neuroimaging #BrainScience
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Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems
#NetworkNeuroscience #BrainConnectivity #Connectome #Neuroscience #BrainMapping #GraphTheory #MultilayerNetworks #BrainResearch #Neurotechnology #PersonalizedMedicine #BrainHealth #CognitiveScience #Neuroimaging #BrainScience
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Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems
#NetworkNeuroscience #BrainConnectivity #Connectome #Neuroscience #BrainMapping #GraphTheory #MultilayerNetworks #BrainResearch #Neurotechnology #PersonalizedMedicine #BrainHealth #CognitiveScience #Neuroimaging #BrainScience
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Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems
#NetworkNeuroscience #BrainConnectivity #Connectome #Neuroscience #BrainMapping #GraphTheory #MultilayerNetworks #BrainResearch #Neurotechnology #PersonalizedMedicine #BrainHealth #CognitiveScience #Neuroimaging #BrainScience
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By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz -
By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz -
By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz -
By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz -
By ironical serendiripy, drift, change, synchronicity, or else:
Two new papers with thoughtful #NetworkNeuroscience critique!
» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559With different framework approaches, conclusions, while complimentary & so needed!
#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz -
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!Benchmark models
Represent all important existing knowledge about our phenomenon of interestSpeculative models
Represent new hypothesesStrawman models
Represent weak null hypothesesCircular analyses
Almost invariably accept speculative models against strawman modelsMika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience -
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!Benchmark models
Represent all important existing knowledge about our phenomenon of interestSpeculative models
Represent new hypothesesStrawman models
Represent weak null hypothesesCircular analyses
Almost invariably accept speculative models against strawman modelsMika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience -
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!Benchmark models
Represent all important existing knowledge about our phenomenon of interestSpeculative models
Represent new hypothesesStrawman models
Represent weak null hypothesesCircular analyses
Almost invariably accept speculative models against strawman modelsMika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience -
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!Benchmark models
Represent all important existing knowledge about our phenomenon of interestSpeculative models
Represent new hypothesesStrawman models
Represent weak null hypothesesCircular analyses
Almost invariably accept speculative models against strawman modelsMika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience -
Another One Bites the Dust!
Nice @thetransmitter writeup for broad audience
https://www.thetransmitter.org/methods/mistaking-a-duck-for-a-skvader-how-a-conceptual-form-of-circular-analysis-may-taint-many-neuroscience-studies/
Yet the 6 appendices alone have many bits to learn from!Benchmark models
Represent all important existing knowledge about our phenomenon of interestSpeculative models
Represent new hypothesesStrawman models
Represent weak null hypothesesCircular analyses
Almost invariably accept speculative models against strawman modelsMika Rubinov
https://doi.org/10.7554/eLife.79559
#NetworkNeuroscience -
In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience -
In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience -
In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience -
In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience -
In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience -
The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
_________
Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@[email protected] @complexsystems @DecisionNeuroscience
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The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
_________
Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@[email protected] @complexsystems @DecisionNeuroscience
-
The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
_________
Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@[email protected] @complexsystems @DecisionNeuroscience
-
The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
_________
Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@[email protected] @complexsystems @DecisionNeuroscience
-
The new issue (n° 12) of #ComplexityThoughts is out!
https://manlius.substack.com/p/complexity-thoughts-issue-12
#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics
_________
Do you find it useful and you are not yet subscribed? Join hundreds: it's free, check it out or recommend it to a friend: https://manlius.substack.com/
@[email protected] @complexsystems @DecisionNeuroscience
-
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
_________
Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
-
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
_________
Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
-
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
_________
Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
-
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
_________
Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
-
And here we go!
The new issue (n° 11) of #ComplexityThoughts is out!
#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife
_________
Do you find it useful and you are not yet subscribed? It's free, check it out or recommend it to a friend: https://manlius.substack.com/
@networkscience @complexsystems @neuroscience
-
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
_________
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
-
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
_________
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
-
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
_________
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
-
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
_________
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
-
The new issue (n° 11) of #ComplexityThoughts will be out on Monday @ 5pm
If you are curious: from #NetworkScience to #UrbanSystems, #NetworkNeuroscience & #OriginOfLife in this issue (see images!)
_________
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
-
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
-
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
-
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
-
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
-
Are you ready for the #ComplexityThoughts Issue #8?
From #NetworkScience to #DataScience, #NetworkNeuroscience & #NetworkMedicine in this issue.
Not yet subscribed? It's free, check it out: https://manlius.substack.com/
Want to suggest a Thought to cover for our “From the community”? Use this link: https://forms.gle/FW4EHEmfWYyXj3TFA
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It's incredible (to me, at least) that the community around #muxViz reached 700+ members.
MuxViz is our R-based package for the analysis of complex #multilayer #networks
https://github.com/manlius/muxViz
https://link.springer.com/book/10.1007/978-3-030-75718-2
#NetworkScience of interest for #ComputationalBiology #NetworkNeuroscience #ComputationalSocialScience @networkscience @complexsystems @neuroscience