PDF DOWNLOAD Linked How Everything Is Connected to Everything Else and What It Means

I liked this very much The main thesis is that science up to fairly recently has been Platonic which this book instead and I think mistakenly characterises as reductionist and therefore fixated on describing things and their forms This idea is that if you have a picture you want to study you will learn all that there is to learn about it by pulling all of the jigsaw pieces apart and studying these individual pieces in detail As String Theory shows we can always speculate on smaller and smaller component parts but it is not clear that gaining a detailed knowledge of all of these parts will inevitably tell us all there is to know about how these parts work in unisonThe author makes it clear that he views that the path of science will be away from what he calls reductionism and I would call a Platonic obsession with things towards a deeper understanding of how these components already or less described in detail work together in networks of relationships to bring about complex and mergent behaviours and phenomena I have a fundamental faith that any view that turns our attention away from things and towards relationships is pointing us in the right directionHe uses a very broad palette here to make his point taking Baroque Personae examples from computer science biologyconomics and sociology to build a fascinating case for the role played by networks in assisting our understanding of how the world works He also makes some fascinating points regarding the development of network theory and how that development has been away from notions of randomness towards much highly structured and law driven networks Sorry that wasn t clear He spends a lot of time in this book discussing in very clear prose the problems which have confronted mathematicians when they have sought to describe networks The Democratic Art earliest models of networks assumed that the links between nodes on the network were or less random What has been found since is that networks follow power laws in which they tend to follow Matthew 1312 For whosoever hath to him shall be given and he shall have abundance but whosoever hath not from him shall be taken awayven that he hath Much of the sociological implications of networks is much the same as is discussed in Malcolm Gladwell s The Tipping Point But you still may want to read this Did the Greeks Believe in Their Myths? even if you have read that book as this does give much background to network theory and therefore helps to make sense of some of the conclusions drawn in Gladwell s book Also thexamples drawn from other sciences not least computer science gives an interesting insight into the growing importance of network theory in understanding the worldIn a previous life I would have had a better understanding of power series and therefore a deeper understanding of how networks are shown to be less random and law driven but in this book such an understanding of mathematics is not assumed nor needed to follow the argument Was that a collective sigh of relief I Could Hear At No Time Did could hear At no time did feel like I was looking down over the abyss of my mathematical ignorance and thinking God if only I d stuck at it I might ven be able to follow what this guy is on about He is always clear and makes no assumptions of the reader s numeracy or intelligence other than that the reader possessing some threshold level of literacy And to be honest ven this wasn t set too highThere was also a very interesting discussion and xplanation of the Pareto Principle which "I think in itself made the book worthwhile This is the "think in itself made the book worthwhile This is the that one hears far too often from people who have an Masters of Business Administration or a masters of bugger all as a friend of mine refers to them The notion that we get 80% of our sales from 20% of our customers being the MBAs Pareto Relation of choice He says that this rule is not as all pervasive as MBAs would have us believe Rather it only is the case in specific situations and this was the most interesting thing in the book for me Generally we would xpect things to be ordered around a normal distribution with height for Conscience and Memory: Meditations in a Museum of the Holocaust example there are lots of average height people but far fewer very tall or very short people The Pareto Principle instead follows a power rule and as he points out applies when a system is moving from randomness to an organised state I would love to read about this but this was the first time I have heard someone talking about this relation and I didn t think Well so whatWhat was most interesting about this book though was what was not talked about He talked about computer networks he talked about the network relationships within plant and animal cells but what wasn t mentioned at all throughout the book and Ixpected to hear about it at any moment was a discussion of that most intriguing of networks the neural networks in the brain I wonder if this is because how we describe these neural networks is generally with reference to computer highway or other human made networks and the metaphor doesn t really work going the other way around There is lots to think about in this book and like I said given that it moves us some way from Plato s world of forms towards notions that Conscience and Memory everything is connected toverything Pansy Vol. 6 else makes this book worth reading I think it is clear that these connections impulses and directings and how they are played out when one set of a web of interactions impacts upon other parts of that web are worth both our notice and our stud. James Gleick and the Erdos–Rényi model brought the discovery of chaos theory to the general public Linked tells the story of the true science of the future and ofxperiments in statistical mechanics on the internet all vital parts of what would ventually be called the Barabási–Albert model . ,

free read Ê Book or Kindle PUB · Albert-László Barabási


This is a very interesting and xtremely in depth look into the science "Of Networks Anything From "networks anything from actors have worked with to computer networks to good ol real life analog social networks ie who you know and who they know Basically anything with nodes connecting to other things This book looks at the science of networks primarily from a mathematical model perspective and as such it was freuently beyond my comprehension Indeed though this book was ngaging and covered a variety of topics from financial crises to power grid meltdowns the fact that I struggled with the perspective made it seem drier than it was Someone who feels at home looking at The World From A Mathematical world from a mathematical than I myself do wouldn t have that issueA solid and interesting book Of Fascinating Facts That Would Likely Appeal fascinating facts that would likely appeal the mathematically inclined or anyone who is interested in knowing about networks I would like to see an updated dition of this book come out soon one that includes the latest research in protein gene and microbiome networksIn the first few chapters the author guides the reader through the Education in a New Society: Renewing the Sociology of Education early decades of research in complexity When networks were first realized their connections were thought to be random However power laws were discovered to be involved in themergence of very self organizing system This was a thrilling insight that has held up in subseuent findings This means that social networks personal relationships protein interactions conomics gene interactions cell communication and so on all work in the same way Thus research in systems sciencenetworkscomplexityemergence studies whatever name you want to call it has been able to uncover fundamental laws by which the world and universe at large operate That is what makes this book and other like it as important to read as books on the theory of gravity The Baby Swap Miracle evolution heliocentrism or other truths of nature This book might be toolementary for some people who already understand networks and the maths behind them However it is still a great read because it is a reminder of how verything is connected and how that presents wonderful problems for humans to solve We cannot understand disease conomics behavior volution the cosmos and so on without trying to understand the underlying networks that connect things together My favorite chapter was the chapter on cell protein and gene networks I love how this field has xploded since this book was written Just this morning I read a short article about protein networks that reminded me of what I read in this book A very well written xposition of network theory for a general audience with xtensive Excommunication: Three Inquiries in Media and Mediation end notes where the author has hidden some of the math It deals not only with the ideas of networks but also the mathematicians and scientists who study them resulting in some appealing anecdotes Beginning with Euler and his 7 bridges of K nigsberg problem which gave birth to graph theory Barab si follows the development of ideas about the nature of social relation nets the structure of the internet as well as the WWWconomic interchanges neural nets and the all important 6 degrees of separation paradigm The copyright is 2003 and with the rise of Big Data in the past 10 years thinking about networks has certainly moved beyond what is in this book but it could still serve as a good foundation For me this kind of book stimulates thinking about life society Gender Justice economy and mind in new andnlightening ways some of which will probably benefit my art making hmmmm I wonder what will happen if I set up these Generations and Collective Memory electronic sculptures so they detectach other s light flashes and respond to them Awesome book if you want to know why should we think in networks One of those anti reductionist complexity obsessed nonsensical collections of persuasive anecdotes and loose useless analogiesThe main critiue of reductionism is that it not always usefulSome problems can t be asily solved from 1st principlesThe author points out the solution would be a departure from reductionismBut this straw man strict reductionist doesn t xist in the first placeRocket scientists don t model From Notes to Narrative engines on the uark scaleBarabasi works hard to hide the freedom and utility of model dependent realismTopics discussed 6 degrees of separation Almostverything from the book Sync Power laws Renormalization actually a uite good overview Phase transitions Scale free network topology Internet search ngines for n00bs very out of date and superficial Internet networking for total n00bsBarabasi shows no reserve in abusing nonsense words like order and complexity outside any mathematically defined contextI laughed out loud when he asks in all seriousness when will the internet become self aware as though it was only a matter of timeOh no not another singularity nutcaseHis thesis applied to the web uses an outdated idea of a web documentNow a days the web is made up of apps and the document is a rarity if not altogether unimportantThis book contains a lot of xaggerations and outright false claims to the nd of defending the thesis which is that network theory is NECESSARY for understanding certain systemsFor xample the behavior of living systems can seldom be reduced to their molecular componentsThis is a disconcertingly ambiguous statement but if taken at face value it seems to imply that behavior of living systems cannot be described bottom up from the molecular compo. A cocktail party A terrorist cell Ancient bacteria An international conglomerateAll are networks and all are a part of a surprising scientific revolution Albert László Barabási the nation’s foremost xpert in the new science of networks and author of Bursts takes us on an intellectual adventure. NentsMolecular biology is a hugely important and productive field in biology which does just this all the timeWhat I understand the author truly means to argue is that biological problems take a lot of work to solveThere is no single gene for bipolar disorder for xampleAny study where you attempt to find the genetic cause of the heritability of bipolar disorder will involve many tests and lots of data on lots of genesThe steps of scientific reasoning will be voluminous involved and the results diluted by huge uncertaintiesBut slapping the words genetic network on the problem is a meaningless xtra stepUsing fetishist terminology doesn t make the solution to the genetic origin of bipolar disorder any asierIt s a nice framework for talking about abstract high "LEVEL CONCEPTS BUT IT S HARDLY "concepts but it s hardly groundbreaking and necessary future of bio technology that he author claimsThe grandiose presentation in this book is a turn off to me and the thesis is to a computer scientist like myself a lot of hooplaRead this book if you njoy listening to a semantics obsessed bandit taking pot shots at the proverbial bandwagon and peddling feel good new age verbiage This book has a lot of interesting information about the structure of the Internet Unfortunately it was poorly written It reiterates simple points and fails to spend nough time Foraging for Survival explaining the complex points The author seemed to have in mind certain phrases that had to appear in the book and includes these and strange metaphors in places where they don t fit It also goes off on too many tangents about the publication process of university professors I listened to the book on CDROM and it was read by someone who paused in strange places and placed incorrectmphasis which further confused meThe content is almost Fragments entirely about the growth of the Internet and possible ways for a network like the Internet to break down The book contains a little information oncological systems too For me it was fascinating Foundations of Tropical Forest Biology: Classic Papers with Commentaries enough to warrant plodding through it but I wouldn t recommend it for anybody who is not very interested in mathematics and also interested in academic politics This was incredible I want to pursue this field full time professionally after reading this book This is great stuff A very sexy topic as far as physics is concerned And while that may be just a cliche description that I m fond of using sex is actually a relevant topic in the field of networks Did you know that a sexual network has the same topological structure as the world wide web Well it does Prostitutes are like google and your personal website is probably like a virgin Anywho while the content isxtremely interesting if you have any prior knowledge of networks you might find the book somewhat longwinded Or you might just find it that way period I ve noticed that verybody lse on goodreads who has this book has it ither on currently reading or to read shelf And I m not half way done with it yet ither I do want to applaud his fforts at regularly giving short outs to his grad students He does a lot of name dropping in this book but mostly in a good way to people who deserve it Other than that all I have to say so far is that SPOILER ALERT Chapter 8 is gonna blow your mind when you find out that Bill Gates is a Bose Einstein Condensate OMG Supremely interesting
#book that delves #
that delves network theory and how it s understanding and growth in very branch of science from Biology to Computer Science and Economics will undoubtedly change the way we view the world It is very One Ticket To Texas exciting to be alive during this time in which the underlying mathematical laws that govern networks are being revealed Being a student of complexityver since I read Nassim Nicholas Taleb s book Antifragile Things that Gain from Disorder and followed it up with Complexity The Emerging Science at the Edge of Order and Chaos by Waldrop M Mitchell I was uite simply nad by this book although some people might find certain parts long winded The names of the chapters are very interesting and serve as great attention hooks to keep you reading I do not like getting too into my reviews of books specially if it will take a long summary for people to understand only a watered down version of the book I will leave this review off with the advice that if you are interested in network theory or complexity then this is a must readBelow you will find a list of books that I have recently read and recommend if you are like me and have been on a search for good books on complexity or any of complexity s related subjectsThe Black Swan The Impact of the Highly Improbable by Nassim Nicholas Taleb Bursts The Hidden Pattern Behind Everything We Do by Albert Laszlo Barabasi The Synaptic Self How Our Brains Become Who We Are by Joseph Le doux The Tipping Point How Little Things Can Make A Big Difference and Outliers The Story of Success by Malcolm Gladwell Manuel Lima s gorgeous Visual Complexity Mapping Patterns of Information and The Birth of the Mind How a Tiny Number of Genes Creates the Complexities of Human Thought by Gary MarcusCurrently reading The MisBehavior of Markets by Benoit B Mendelbrot As well as Lewis Mumford s 2 volume Myth of the Machine Technics and Human Development I intend to follow it with Hidden Order How Adaptation Builds Complexity by John Holland and The Nature of Technology What it is and How it Evolves by Arthur W BrianHappy reading. To prove that social networks corporations and living organisms are similar than previously thought Grasping a full understanding of network science will someday allow us to design blue chip businesses stop the outbreak of deadly diseases and influence the xchange of ideas and information Just as. ,

Linked How Everything Is Connected to Everything Else and What It Means