Showing posts with label networks. Show all posts
Showing posts with label networks. Show all posts

Saturday, June 07, 2014

Large-Scale Structure in Networks (Santa Fe Institute)


An interesting talk from the Santa Fe Institute on how understanding large-scale networks (the speaker, Mark Newman, works primarily with social networks) can help us understand complex systems.

What the large scale structure of networks can tell us about many kinds of complex systems

June 5, 2014 | Santa Fe Institute


Networks are useful as compact mathematical representations of all sorts of systems. SFI External Professor Mark Newman asks what the large-scale mathematical structures of networks can tell us.

Mathematical measures of network properties such as degree (a measure of average connectivity) and transitivity (a measure of second-order connectivity) are simple, often-used ways of understanding network structure at a local level.

Newman is interested in larger-scale structures of networks with thousands or millions of nodes. He reviews statistical techniques that offer such large-scale insights, as well as potential predictive capabilities.

His presentation took place during SFI's 2014 Science Board Symposium in Santa Fe.

Tuesday, December 17, 2013

Connectome Update (Brain Science Podcast 103) with Olaf Sporns


On last month's Brain Science Podcast, your host, Dr. Ginger Campbell, spoke with neuroscientist Olaf Sporns, author of Discovering the Human Connectome, to get an update on connectome research.

Connectome Update (BSP 103)

November 22, 2013
Ginger Campbell, MD


OLAF SPORNS, PHD

The Human Connectome is a description of the structural connectivity of the human brain, but according to Olaf Sporns, author of Discovering the Human Connectome, this description must include a description of the brain's dynamic behavior. I first talked with Sporns back in BSP 74, but BSP 103 gave us a chance to talk about recent progress in connectomics.

Sporns sees the study of the brain's connections as fundamental to understanding how the brain works.

"It will allow us to ask new questions that perhaps we couldn’t ask before. It will be a foundational data set for us, just like the genome is. We will not be able to imagine neuroscience going back to a time when we did not have the connectome, but it will not give us all the answers.”

In his first book, Networks of the Brain, Sporns described how Network Theory provides important tools for dealing with the large data sets that are created by studying complex systems like the human brain. In BSP 103 we discuss both the challenges and the promise of Discovering the Human Connectome.

Saturday, February 23, 2013

Trevor Malkinson - Rhizomatic for the People: Notes on Networks and Decentralization

This forest of aspens is actually a single organism, a rhizome.

I first came across the idea of the rhizome in Sam Mickey's article in Integral Theory in Action (SUNY Press, 2010), "Rhizomatic Contributions to Integral Ecology in Deleuze and Guattari." [The book is a collection of papers from the first bi-annual Integral Theory Conference held in 2008]. From there I discovered A Thousand Plateaus: Capitalism and Schizophrenia (1980) by Gilles Deleuze and Félix Guattari. I blogged about Deleuze and Guattari back in 2010.

A Thousand Plateaus is book two in their Capitalism and Schizophrenia series, which began with Anti-Oedipus (1972), where the first introduced and began developing their rhizomatic theory.

From Wikipedia, here is a brief definition of rhizomes:
Gilles Deleuze and Félix Guattari use the term "rhizome" and "rhizomatic" to describe theory and research that allows for multiple, non-hierarchical entry and exit points in data representation and interpretation. In A Thousand Plateaus, they oppose it to an arborescent conception of knowledge, which works with dualist categories and binary choices. A rhizome works with planar and trans-species connections, while an arborescent model works with vertical and linear connections. Their use of the "orchid and the wasp" is taken from the biological concept of mutualism, in which two different species interact together to form a multiplicity (i.e. a unity that is multiple in itself). Horizontal gene transfer would also be a good illustration.

As a model for culture, the rhizome resists the organizational structure of the root-tree system which charts causality along chronological lines and looks for the original source of "things" and looks towards the pinnacle or conclusion of those "things." A rhizome, on the other hand, is characterized by "ceaselessly established connections between semiotic chains, organizations of power, and circumstances relative to the arts, sciences, and social struggles." The rhizome presents history and culture as a map or wide array of attractions and influences with no specific origin or genesis, for a "rhizome has no beginning or end; it is always in the middle, between things, interbeing, intermezzo." The planar movement of the rhizome resists chronology and organization, instead favoring a nomadic system of growth and propagation. In this model, culture spreads like the surface of a body of water, spreading towards available spaces or trickling downwards towards new spaces through fissures and gaps, eroding what is in its way. The surface can be interrupted and moved, but these disturbances leave no trace, as the water is charged with pressure and potential to always seek its equilibrium, and thereby establish smooth space.[1]


Principles of the rhizome


Deleuze and Guattari introduce A Thousand Plateaus by outlining the concept of the rhizome (quoted from A Thousand Plateaus):
1 and 2: Principles of connection and heterogeneity: any point of a rhizome can be connected to anything other, and must be
3. Principle of multiplicity: only when the multiple is effectively treated as a substantive, "multiplicity" that it ceases to have any relation to the One
4. Principle of asignifying rupture: a rhizome may be broken, but it will start up again on one of its old lines, or on new lines
5 and 6: Principles of cartography and decalcomania: a rhizome is not amenable to any structural or generative model; it is a "map and not a tracing"
There is a lot to like about this theory - and in many ways it overturns a lot of the basic tenets of integral theory - a model that is completely hierarchical, chronological, and highly organized. Rhizomes reject hierarchies and they resist chronology and organization.

Rhizomes are decentralized, organized by connections and associations and not by systems, and they seek a unification that is inherently multiple.

This passage from Ellen E. Berry and Carol Siegel is taken from their article, "Rhizomes, Newness, and the Condition of Our Postmodernity: Editorial and a Dialogue," which appeared in the journal
rhizomes.01 (fall 2000).

Rhizomes...


[7] exists to suggest ways out of this all-too-common paralysis of our critical imaginations by providing sites for the emergence of new thinking, the not-yet-conceived. We see speculative impulses and experimental strategies as vital components of the political agenda of contemporary cultural studies: Today more than ever we require acts of radical imagination and psychic mobility as preludes to the invention of historically new modes of relationship.

[8] Although we cannot (and would not wish to) predict the nature of the strange attractions that might migrate to Rhizomes, we are particularly interested in soliciting the following:
[9] creative and critical practices that generate alternative thinking by deliberately pursuing those alternatives embedded in any idea or system, particularly what a system omits or deems unworthy of serious scrutiny. Such thinking prevents any system from promoting itself as definitive and leaves it open to other ways of knowing and being. 
[10] creative and critical practices that encourage us to unite ideas that seem most disparate or incompatible, thereby deliberately dislocating us from the known. 
[11] creative and critical practices that train us actively to desire multiple differences rather than simply tolerating them or projecting them as objects of analysis. Such practices would be unpredictable, performative, and incomplete. By "hailing" us in ways that permit entry into relation with the other even as we forego full comprehension of him/her, they thereby will also extend our empathetic and ethical capacities.
With that background, here is the beginning of an essay by Trevor Malkinson from Beams and Struts, the finest integral blog on the web.

Rhizomatic for the People - Notes on Networks and Decentralization

Written by Trevor Malkinson

“Today we see networks everywhere we look- military organizations, social movements, business formations, migration patterns, communication systems, physiological structures, linguistic relations, neural transmitters, and even personal relationships". - Hardt and Negri, Multitdue - War and Democracy in the Age of Empire



~~~~~


Introduction


January 13, 2013

For several weeks there was a rich discussion happening on the comment thread of the article Eight Perspectives On Integral Trans-Partisan Politics. In that mix Jeremy Johnson and I were voicing support for a decentralized, local oriented way of life as an important way forward politically, economically and culturally. In his entry for the original article Jeremy writes:

It [integral trans-politics] argues for a political philosophy where the elite of society rule from the top-down. But everything that is going on today – with networks of social communication, experimental peer-to-peer economic systems, and decentralization of social power – suggests that human culture is undergoing revolutionary changes.

Later in a comment he added, "I think in the young generations of today, they will be developing wholly new economic and sociological structures. And I think these will be decentralized, rhizomatic, and built upon new ways of thinking and organizing society". Later on in a comment of my own I wrote, "I agree with Jeremy that a more localized decentralized form is what is generally emerging". In response to this Kaine DeBoer, also author of 1/8 of the perspectives in the original post, responded:

 
Trevor & Jeremy re: decentralization & localization -- I have heard these sentiments echoed elsewhere. But what evidence is there that there's a larger shift towards localization? Especially here in the United States, are we even capable of it at this point? Population density when combined with available, fertile land. Manufacturing infrastructure is either in decay or is simply non-existent...

This is a fair question, and in this post I want to offer a round-up of resources that I think show that these shifts are here and happening, and also why they might be important. What follows are a potpourri of lines of flight, a mashup sketch of what I see as the shapes of a future rapidly emerging.

Update - February 11, 2013

Since I started working on this piece a few weeks ago, a steady stream of new articles have come out on this topic, and there's also been a big public debate about the importance or non-importance of decentralization and peer networks between Stephen Johnson and Evgeny Morozov. I had already used Johnson's work in a section below, and I've been trying to keep track of all the new developments while writing this piece. I've come to realized that this article is only ever going to be a slice in time look at a dynamically unfolding topic, and moreover that I'm only going to be able to get to the networks and decentralization component. The first seven sections below were written in January. The final two I've just begun working on now, and I better click publish soon before something else happens! As I said in the article announcing the closing of Beams, a rhizome is always a middle, and it's high time I absorb this wisdom in this case, as I'll never be able to contain or capture the whole of this topic. So onwards into the essay. I'll speak to the debate between Johnson and Morozov in the concluding section.
Read the whole essay.

Sunday, October 28, 2012

EDGE: Thinking in Network Terms - A Conversation with Albert-lászló Barabási

From Edge, this is an interesting talk by Albert-lászló Barabási on thinking in terms of networks. Some of the questions he has been asking and seeks to answer here are:
  • [W]hat does it mean to be part of the network? 
  • [W]hat does it mean to think in terms of the network? 
  • What does it mean to take advantage of this connectedness and to understand that? 
  • [H]ow do you describe mathematically the connectedness? 
  • How do you get data to describe that? 
  • What does this really mean for us?
Some of the implications of this research might be alarming for some. I have no problem with collected data and trying to understand how, when, and why people interact, but I have concerns about what might happen to that data - who is going to use it, and how is it going to be used?

You can listen to the audio link below, watch the embedded video, or read the transcript (the first paragraphs of which are included, but you'll need to follow the title link to read the whole thing).

Audio: Thinking In Network Terms



THINKING IN NETWORK TERMS  

THINKING IN NETWORK TERMS
[ALBERT-LÁSZLÓ BARABÁSI: 9/24/2012]
We always lived in a connected world, except we were not so much aware of it. We were aware of it down the line, that we're not independent from our environment, that we're not independent of the people around us. We are not independent of the many economic and other forces. But for decades we never perceived connectedness as being quantifiable, as being something that we can describe, that we can measure, that we have ways of quantifying the process. That has changed drastically in the last decade, at many, many different levels.
It has changed partly because we started to be aware of it partly because there were a lot of technological advances that forced us to think about connectedness. We had Worldwide Web, which was all about the links connecting information. We had the Internet, which was all about connecting devices. We had wireless technologies coming our way. Eventually, we had Google, we had Facebook. Slowly, the term 'network connectedness' really became part of our life so much so that now the word 'networks' is used much more often than evolution or quantum mechanics. It's really run over it, and now that's the buzzword.
The question is, what does it mean to be part of the network, or what does it mean to think in terms of the network? What does it mean to take advantage of this connectedness and to understand that? In the last decade, what I kept thinking about is how do you describe mathematically the connectedness? How do you get data to describe that? What does this really mean for us?
This had several stages, obviously. The first stage for us was to think networks, only networks down the line. That was about a decade ago, we witnessed the birth of network science. I could say a couple of geniuses came along and did it, but really it was the data that made it possible. Suddenly we started to discover that lots of data that's out there, that we're collecting thanks to the Internet and other technological advances, allowed us to look at connectedness and to measure it and to map it out.
Once you had data, you could build theories. Once you had theories, you have predictive power, you could test that and then the whole thing fitted itself. It suddenly very actively emerged as a field that we now call network science. Going beyond networks, going beyond connectedness, we realized we started to know not only whom you connect to and whom you see and where are your links (the economical, personal, social or whatever they are) but we started to see also the timing of your activities. What do you do with those links? When do you interact?

Saturday, October 06, 2012

Authors@Steven Johnson | "Future Perfect: The Case For Progress In A Networked Age"


I know Steven Johnson as the author of Emergence: The Connected Lives of Ants, Brains, Cities, and Software and Mind Wide Open: Your Brain and the Neuroscience of Everyday Life - two of his earlier books, and two areas in which I am more deeply interested.

He is also the author of Where Good Ideas Come From: The Natural History of Innovation and Everything Bad is Good for You: How Today's Popular Culture is Actually Making Us Smarter - which I suspect are his better known books.

His newest book (which he discusses here) is Future Perfect: The Case For Progress In A Networked Age.


"Future Perfect: The Case For Progress In A Networked Age"


Combining the deft social analysis of Where Good Ideas Come From with the optimistic arguments of Everything Bad Is Good For You, New York Times bestselling author Steven Johnson's Future Perfect makes the case that a new model of political change is on the rise, transforming everything from local governments to classrooms, from protest movements to health care. Johnson paints a compelling portrait of this new political worldview -- influenced by the success and interconnectedness of the Internet, but not dependent on high-tech solutions -- that breaks with the conventional categories of liberal or conservative thinking.

With his acclaimed gift for multi-disciplinary storytelling and big ideas, Johnson explores this new vision of progress through a series of fascinating narratives: from the "miracle on the Hudson" to the planning of the French railway system; from the battle against malnutrition in Vietnam to a mysterious outbreak of strange smells in downtown Manhattan; from underground music video artists to the invention of the Internet itself.

At a time when the conventional wisdom holds that the political system is hopelessly gridlocked with old ideas, Future Perfect makes the timely and inspiring case that progress is still possible, and that new solutions are on the rise. This is a hopeful, affirmative outlook for the future, from one of the most brilliant and inspiring visionaries of contemporary culture.

Monday, May 21, 2012

RSA Animate - The Power of Networks w/ Manuel Lima


Each new RSA Animate is an occasion, sure to acquire tens of thousands of viewers in its first days. This new one is based on a talk by Manuel Lima, The Power of Networks in an Age of Infinite Interconnectedness. Lima's most recent book (2011) is Visual Complexity: Mapping Patterns of Information.



In this new RSA Animate, Manuel Lima senior UX design lead at Microsoft Bing, explores the power of network visualisation to help navigate our complex modern world. Taken from a lecture given by Manuel Lima as part of the RSA's free public events programme.

Listen to the full talk: The Power of Networks in an Age of Infinite Interconnectedness

Our events are made possible with the support of our Fellowship. Support us by donating or applying to become a Fellow.

Donate: http://www.thersa.org/support-the-rsa
Become a Fellow: http://www.thersa.org/fellowship/apply

Thursday, June 09, 2011

Brain Networks with Olaf Sporns (Brain Science Podcast 74)

The Brain Science Podcast is too infrequent for my taste - I would love it to be weekly, although I am sure Dr. Campbell feels otherwise. The time between episodes just makes me that much more grateful when a new one comes up in my feeds.

On the other hand, it's going back to a monthly episode schedule starting next month, so there is much rejoicing in my head right now.

Oh yeah, the discussion in this episode centers around brain modules or networks, and the the book is Networks of the Brain by this week's guest, Olaf Sporns (MIT Press, 2011).

Brain Networks with Olaf Sporns (BSP 74)


Olaf Sporns, PhD, Networks of the Brain by Olaf Sporns is an excellent comprehensive introduction to the use of Network Theory to study both the brain and the nervous systems of invertebrates. In Episode 74 of the Brain Science Podcast I interviewed Dr. Sporns (Indiana University) about some of the key ideas in his book. Network Theory is becoming increasingly important as a tool for dealing with the massive amounts of data being generated by current techniques, such as brain imaging. It is also a valuable tool with dealing with the fact that nervous systems consist of multiple scales (from the molecular level up to billions of neurons), which can not be reduced to a single scale.

While Networks of the Brain will be of greatest interest to those working in neuroscience and to those with a background in fields like engineering, mathematics, and computer science, this interview provides an introduction for listeners of all backgrounds.

listen-to-audio Listen to Episode 74

Episode Transcript (Download Free PDF)

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LINKS:

REFERENCES:

RELATED EPISODES:

  • BSP 31: Interview with György Buzsáki, author of Rhythms of the Brain
  • BSP 46: Discussion of Brain Imaging, including Diffusion Imaging
  • BSP 56: Interview with Dr. Eve Marder about the use of circuit theory in neuroscience
  • BSP 61: Mapping the Brain (and generating huge amounts of data)

ANNOUNCEMENTS:

  • The Brain Science Podcast will be returning to a monthly schedule on July 1, 2011.
  • Please join the new Brain Science Podcast Discussion Forum at GoodReads.com.
  • Get show notes automatically via our Newsletter.
  • Dr. Campbell gave a talk in London last month entitled "Why Neuroscience Matters."(Available here.)
  • Dr. Campbell will be a speaker at The Amazing Meeting 9, July 14-17,2011 in Las Vegas, NV.
  • Don't forget to check out the Books and Ideas podcast and SCIENCEPODCASTERS.ORG.
  • The Brain Science Podcast app is available for iPhone, Android, and iPad. If you have purchased the iPhone version, it will now work on your iPad (no additional purchase needed). The iPad is the perfect device for reading episode transcripts, especially if you want to read along as you listen.
  • Post Comments in the BSP Guest Book or send Dr. Campbell email at gincampbell at mac dot com.

The donate buttons goes to Dr. Campbell's account, not to IOC.


Thursday, March 10, 2011

Tacit Knowledge Network Development: The Comparative Analysis of Knowledge Threads in Complex Systems

From the Social Science Research Network, this article looks at the development and survival of knowledge communities - or maybe I should just the authors tell you what they are on about - this is from the Introduction:
The importance of what specific elements are required to underpin sustainability becomes evident when attempting to grasp the difficult dynamics of tacit knowledge exchange and emergent networks. Existing and emergent knowledge networks display dynamic responses to their rapidly changing environments. This paper attempts to identify and discuss the processes of these systems and how knowledge networks behave across boundaries. Through case study work, this paper will also examine how individuals within networks combine knowledge exchanges within and beyond the group network to resolve issues.
This is probably a little too specific of a paper in some ways - they rely on a manufacturing small-medium sized enterprise in Thailand as their case study. But the model is transferable, and they are taking an integrated approach in general.

The full PDF is available at the link below.

Susu Nousala
RMIT University

Suthida Jamsai-Whyte
Faculty of Management Science, Ubon Ratchathani University

William P. Hall
Engineering Learning Unit, University of Melbourne

November 16, 2010

Knowledge Cities World Summit, Melbourne, Australia, November 16-19, 2010


Abstract:
Knowledge-based groups or communities are complex systems that emerge, evolve and mature through stages that display specific features and capabilities of the community or group. Understanding these capabilities and features are fundamental to building sustainable economic, social and learning networks systems. Understanding emergent behaviour within and beyond organizational communities requires understanding the social or sociological aspects in relation to the explicit formal/physical structures in the organization. Looking deeper into the development of informal networks across boundaries highlights the geographic structures and scales of knowledge flows and their influence on urban communities.
  • Purpose – The purpose of the paper is to examine the theory of knowledge networks through applied research.
  • Design/methodology/approach – This is a case study approach, incorporating action research through embedded practice, utilizing interdisciplinary (or rather non-disciplinary) techniques and is thus a novel approach and application.
  • Originality/value –This methodology translation of knowledge networks from theory into practice to yield little known or understood technical issues when working in social complex adaptive systems.
  • Practical implications – The outcomes of the application contributes to the understanding of how, what and why sustainable social networks develop, offering the possibility of application in the field.

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