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#networkstates

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Sir Rochard 'Dock' Bunson

My 2 cents for the normie board & maybe the fascism-deniers in your life. I firmly believe that the billionaire's long-term plan is a technofeudalism & fascism is the tool they're using to get there.

The goal is to send us back to feudalism. Trump may not know that, but his handlers do.

Unfortunately, slavery is currently legal and constitutional if you've been convicted of a crime. For citizens and not just Venezuelan "gang members". Thanks 13th ammendment. 🙄

As soon as you let what they have been putting in books and podcasts for years regarding #NetworkStates sink in, current events aren't nearly as confusing or surprising. The #NerdReich is how they plan to control people while they reduce the population to a more "efficient" level.

So as you see, the fascism and the feudalism are intertwined. It's all one fight. #PitchforksUp

See: theplotagainstamerica.com/

2 black amd white vinyl stickers. Top one says Johnny Cash was "woke". The bottom one says "the billionaires are winning. It is time to wake up.
#NeoFeudalism#TechnoFeudalism#Fascism
Continued thread
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ICalzada

🏙️🌍 Highlighting two groundbreaking concepts: #PeopleCenteredSmartCities and #DatafiedNetworkStates.

Discover how these models can redefine our interaction with #data and #governance, fostering a community-driven future. #SmartCities #NetworkStates #AI

mdpi.com/2504-2289/8/3/26

@digitalhumanities @digigeolab @DigitalEU @DialoguesHG @geography @anthropology @economics @sociology @politicalscience @politicaltheory

MDPIDemocratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI DisruptionThis article investigates the intricate dynamics of data monopolies, referred to as “data-opolies”, and their implications for democratic erosion. Data-opolies, typically embodied by large technology corporations, accumulate extensive datasets, affording them significant influence. The sustainability of such data practices is critically examined within the context of decentralized Web3 technologies amidst Artificial Intelligence (AI) disruption. Additionally, the article explores emancipatory datafication strategies to counterbalance the dominance of data-opolies. It presents an in-depth analysis of two emergent phenomena within the decentralized Web3 emerging landscape: People-Centered Smart Cities and Datafied Network States. The article investigates a paradigm shift in data governance and advocates for joint efforts to establish equitable data ecosystems, with an emphasis on prioritizing data sovereignty and achieving digital self-governance. It elucidates the remarkable roles of (i) blockchain, (ii) decentralized autonomous organizations (DAOs), and (iii) data cooperatives in empowering citizens to have control over their personal data. In conclusion, the article introduces a forward-looking examination of Web3 decentralized technologies, outlining a timely path toward a more transparent, inclusive, and emancipatory data-driven democracy. This approach challenges the prevailing dominance of data-opolies and offers a framework for regenerating datafied democracies through decentralized and emerging Web3 technologies.
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Manlio De Domenico

Qualcuno (che in 3 anni avrebbe potuto prendere una laurea in epidemiologia, ma preferisce chiedere i vostri soldi) continua a diffondere informazioni errate, questa volta sul caso Cina.

Vediamo perchè, rispolverando un pò di storia recente e adattandola ad oggi.

1/

#ComplexSystems #ComplexNetworks #CollectiveBehavior #StatisticalPhysics #NetworkStates Of interest for: #ComputationalBiology #Neuroscience

@networkscience @complexsystems @neuroscience

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Manlio De Domenico

After 6 years using Gibbsian states for network density matrices, w/ @ArshamGhavasieh we've finally shown under which conditions they are also max-entropy network states!

We gain new insights on coalescence processes and find unexpected behaviors:

👉arxiv.org/abs/2212.02392

#ComplexSystems #ComplexNetworks #CollectiveBehavior #StatisticalPhysics #NetworkStates Of interest for: #ComputationalBiology #Neuroscience

@networkscience @complexsystems @neuroscience

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Manlio De Domenico

With some delay, here the thread on our latest paper w/ @ArshamGhavasieh where we provide an alternative approach to build network states in terms of density matrices.

We generalize the existing approach and significantly extend it.

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arxiv.org/abs/2210.16701

@networkscience @complexsystems #ComplexSystems #ComplexNetworks #CollectiveBehavior #StatisticalPhysics #NetworkStates Of interest for: #ComputationalBiology #Neuroscience @neuroscience

arXiv.orgGeneralized network density matrices for analysis of multiscale functional diversityThe network density matrix formalism allows for describing the dynamics of information on top of complex structures and it has been successfully used to analyze from system's robustness to perturbations to coarse graining multilayer networks from characterizing emergent network states to performing multiscale analysis. However, this framework is usually limited to diffusion dynamics on undirected networks. Here, to overcome some limitations, we propose an approach to derive density matrices based on dynamical systems and information theory, that allows for encapsulating a much wider range of linear and non-linear dynamics and richer classes of structure, such as directed and signed ones. We use our framework to study the response to local stochastic perturbations of synthetic and empirical networks, including neural systems consisting of excitatory and inhibitory links and gene-regulatory interactions. Our findings demonstrate that topological complexity does not lead, necessarily, to functional diversity -- i.e., complex and heterogeneous response to stimuli or perturbations. Instead, functional diversity is a genuine emergent property which cannot be deduced from the knowledge of topological features such as heterogeneity, modularity, presence of asymmetries or dynamical properties of a system.
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