Linked: How Everything Is Connected to Everything Else and by Albert-László Barabási, Jennifer Frangos

By Albert-László Barabási, Jennifer Frangos

Book Details:

ISBN: 0465085733
EAN: 9780465085736
ASIN: 0465085733
Publisher: simple Books
Publication Date: 2014-06-24
Number of Pages: 304
Website: Amazon, LibraryThing, Google Books, Goodreads

Synopsis from Amazon:

A cocktail celebration. A terrorist telephone. historical micro organism. a world conglomerate. All are networks, and all are part of a stunning clinical revolution. In Linked, Albert-László Barabási, the nation's preferable specialist within the new technology of networks, takes us on an highbrow event to turn out that social networks, firms, and dwelling organisms are extra comparable than formerly idea. Barabási exhibits that greedy an entire knowing of community technology will sometime let us layout blue-chip companies, cease the outbreak of lethal ailments, and effect the alternate of principles and knowledge. simply as James Gleick and the Erdos–Rényi version introduced the invention of chaos idea to most of the people, Linked tells the tale of the real technological know-how of the longer term and of experiments in statistical mechanics on the net, all important elements of what may finally be known as the Barabási–Albert model.

GoodReads writer Information:

Author Name: Albert-laszlo Barabasi (Born: 1967/03/30)

Author Description: Albert-László Barabási is a Hungarian-American physicist born in Transylvania, Romania, top identified for his paintings within the study of community theory.

Author URL: http://www.goodreads.com/author/show/2932657

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Additional info for Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life

Example text

The power of agent i over agent j is given by sij (x) = max S⊆V : i∈S,j∈S v(S) − x(S), (1) 32 K. Georgiou et al. and the prekernel P consists of all allocations x for which sij = sji for all agents i and j. In the following first result, let stable be the projection of the collection of all stable outcomes (C, x) onto the x-space. Similarly, balance is the projection of all balanced outcomes onto the x-space. Theorem 1. Let I be an instance of GNB, and Γ (I) the corresponding cooperative game. Then C = stable, and C ∩ P ⊆ stable ∩ balance.

Similar to [1], we first identify a natural cooperative game Γ (I) associated with a given GNB instance I. Γ (I) has player set V and the value function is defined by letting v(S) = maxC⊆C(S), C feasible c∈C w(c), for all S ⊆ V , where C(S) is the set of contracts contained in the set S. We briefly introduce a few pertinent solution concepts for cooperative games, and refer the reader to [2] for a comprehensive introduction to the topic. The core C of Γ (I) consists of all allocations x ∈ ÊV+ that satisfy x(S) ≥ v(S) for all S ⊆ V , and this inequality is tight for S = V .

Thus, the claim immediately follows from Lemma 2. Theorem 9. 765. Proof. Let s be an SPE for game I. By Lemma 2, it follows that SUM(a(s)) = Ui (a(s)) i∈[k] k−1 4 = k Ui (a(s)) + i=1 k−1 4 ≥ i=1 = = Ui (a(s)) i= k−1 4 +1 k (k − 1)D + 8 i= k−1 4 (i − 1)D 2 +1 k−1 k − 1 (k − 1)D k(k − 1)D + − 4 8 4 4 D 4 k(k − 1) − k−1 4 2 + k−1 −1 4 D 4 k−1 k+1 4 2 D k−1 k+1 k−1 k(k − 1) + − 4 4 2 4 D k−1 k+1 k+2 − > k(k − 1) + 4 4 2 4 17k(k − 1)D . = 64 = Since it clearly holds that SUM(oSUM (I)) ≤ k(k − 1)D, the claim follows.

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