Intelligence
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 Rescooped by Jean-Michel Livowsky from e-Xploration onto Intelligence

# Beta codex - Organiser pour la complexité | #profils #RSE #collectiveintelligence

Beta Codex, ou comment rendre le travail à nouveau efficace
Comment mettre en œuvre des cellules décentralisées, innovantes et autonomes, pour faire face aux changements dans un monde complexe?

Via Denis Cristol, Nathalie Carpentier, Claude Emond, luiy
Claude Emond's curator insight,

Principes agiles à l'oeuvre. Vraiment exhaustif et très très bien fait. L'organisation du travail  telle qu'elle doit être pour fonctionner au 21e siècle: basée sur l'intelligence collective, agile (auto-organisation) et certainement plus durable que l'impossible commandement et contrôle.

Philippe Vallat's curator insight,

Une bonne vue d'ensemble qui aborde intelligence collective, leadership, systémique

Anne-Laure Delpech's curator insight,

une vision intéressante de la complexité et des évolutions managériales qu'elle impose.

# Intelligence

 Rescooped by Jean-Michel Livowsky from Complex World

## Punctuated Equilibrium in the Large Scale Evolution of Programming Languages

The analogies and differences between biological and cultural evolution have been explored by evolutionary biologists, historians, engineers and linguists alike. Two well known domains of cultural change are language and technology. Both share some traits relating the evolution of species, but technological change is very difficult to study. A major challenge in our way towards a scientific theory of technological evolution is how to properly define evolutionary trees or clades and how to weight the role played by horizontal transfer of information. Here we study the large scale historical development of programming languages, which have deeply marked social and technological advances in the last half century. We analyse their historical connections using network theory and reconstructed phylogenetic networks. Using both data analysis and network modelling, it is shown that their evolution is highly uneven, marked by innovation events where new languages are created out of improved combinations of different structural components belonging
to previous languages. These radiation events occur in a bursty pattern and are tied to novel technological and social niches. The method can be extrapolated to other systems and consistently captures the major classes of languages and the widespread horizontal design exchanges, revealing a punctuated evolutionary path.

Via Claudia Mihai
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 Rescooped by Jean-Michel Livowsky from Complex World

## How bird flocks are like liquid helium

Mathematical model shows how hundreds of starlings coordinate their movements in flight.

A flock of starlings flies as one, a spectacular display in which each bird flits about as if in a well-choreographed dance. Everyone seems to know exactly when and where to turn. Now, for the first time, researchers have measured how that knowledge moves through the flock—a behavior that mirrors certain quantum phenomena of liquid helium.

Via Claudia Mihai
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 Rescooped by Jean-Michel Livowsky from Complex World

## Scaling of Chaos versus Periodicity: How Certain is it that an Attractor is Chaotic?

A small perturbation in a system's parameter can convert its attractor from chaotic to periodic, where the probability of obtaining a chaotic regime scales as a power law with respect to the perturbation size.

Via Claudia Mihai
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 Rescooped by Jean-Michel Livowsky from e-Xploration

## Israel, Gaza, #War & Data | #SNA #socialmedia

social networks and the art of personalizing propaganda

Via luiy
luiy's curator insight,

It’s hard to shake away the utterly depressing feeling that comes with news coverage these days. IDF and Hamas are at it again, a vicious cycle of violence, but this time it feels much more intense. While war rages on the ground in Gaza and across Israeli skies, there’s an all-out information war unraveling in social networked spaces.

Not only is there much more media produced, but it is coming at us at a faster pace, from many more sources. As we construct our online profiles based on what we already know, what we’re interested in, and what we’re recommended, social networks are perfectly designed to reinforce our existing beliefs. Personalized spaces, optimized for engagement, prioritize content that is likely to generate more traffic; the more we click, share, like, the higher engagement tracked on the service. Content that makes us uncomfortable, is filtered out.

 Rescooped by Jean-Michel Livowsky from Complex World

## Computational Linguistics of Twitter Reveals the Existence of Global Superdialects

The first study of dialects on Twitter reveals global patterns that have never been observed before.

Via Claudia Mihai
Jean-Michel Livowsky's insight:

Les bases d'un meta-langage universel ?

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 Rescooped by Jean-Michel Livowsky from Complex World

## Competitive Dynamics on Complex Networks

We consider a dynamical network model in which two competitors have fixed and different states, and each normal agent adjusts its state according to a distributed consensus protocol. The state of each normal agent converges to a steady value which is a convex combination of the competitors' states, and is independent of the initial states of agents. This implies that the competition result is fully determined by the network structure and positions of competitors in the network. We compute an Influence Matrix (IM) in which each element characterizing the influence of an agent on another agent in the network. We use the IM to predict the bias of each normal agent and thus predict which competitor will win. Furthermore, we compare the IM criterion with seven node centrality measures to predict the winner. We find that the competitor with higher Katz Centrality in an undirected network or higher PageRank in a directed network is most likely to be the winner. These findings may shed new light on the role of network structure in competition and to what extent could competitors adjust network structure so as to win the competition.

Via Claudia Mihai
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 Rescooped by Jean-Michel Livowsky from Complex World

## Hidden scaling patterns and universality in written communication

The temporal statistics exhibited by written correspondence appear to be media dependent, with features which have so far proven difficult to characterize. We explain the origin of these difficulties by disentangling the role of spontaneous activity from decision-based prioritizing processes in human dynamics, clocking all waiting times through each agent's proper time'' measured by activity. This unveils the same fundamental patterns in written communication across all media (letters, email, sms), with response times displaying truncated power-law behavior and average exponents near -${}\frac{3}{2}$. When standard time is used, the response time probabilities are theoretically predicted to exhibit a bimodal character, which is empirically borne out by our newly collected years-long data on email. These perspectives on the temporal dynamics of human correspondence should aid in the analysis of interaction phenomena in general, including resource management, optimal pricing and routing, information sharing, and emergency handling.

Via Claudia Mihai
No comment yet.
 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Le vertige technologique masque un déficit majeur d'Innovation organisationnelle

Les objets technologiques mettent parfois des années pour révéler les domaines sur lesquels ils agiront et quelles nouvelles applications ils (...)

Via Aurélie Thev'
Stéphane NEREAU's curator insight,

 Rescooped by Jean-Michel Livowsky from Complex World

## The 1% of scientific publishing

Only a handful of researchers manage to publish one or more papers per year

Via Claudia Mihai
Jean-Michel Livowsky's insight:

Pourquoi le 1 %...

No comment yet.
 Rescooped by Jean-Michel Livowsky from Complex World

## The Network Structure of Jewish Texts

Sefaria, is an open source database of Jewish texts and recently, Liz Shayne of UC Santa Barbara attempted to extract the relationships between the texts found there—annotations, allusions, and such—and visualize them. Unfortunately, Sefaria is very much a work-in-progress, so conclusions are likely to early to be drawn, but here is a quick visualization that Shayne performed of the complete network of more than 100,000 nodes and 87,000 links

Via Claudia Mihai
Jean-Michel Livowsky's insight:

Une structure neuronale dans l'organisation des textes sacrés ?

Voilà qui me réconcilie avec la religion !

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 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Espionnage économique : la guerre des services secrets

Infiltrer des sociétés de hautes technologies pour voler des secrets industriels, espionner pour mieux gagner des marchés : la guerre économique est bel et bien lancée ! Le journal de l’Intelligence Economique d’Ali Laïdi a enquêté sur les heures les...

Via Aurélie Thev'
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 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Lancement du premier club Intelligence Economique dédié à l’innovation

Le préfet d’Ile-de-France a lancé avec le gouvernement le premier club d’Intelligence économique dédié à l’innovation. L’initiative a pour but d’«ancrer une culture de l’intelligence économique au sein des structures innovantes ». La première réunion s’est tenue le jeudi 19 juin.

Via Aurélie Thev'
No comment yet.
 Rescooped by Jean-Michel Livowsky from e-Xploration

## This map reveals exactly where Silicon Valley gets its talent | #mexico #TechImmigrants #dataviz

Above: Tech Immigrants: A Map of Silicon Valley's Imported Talent

Image Credit: Graphic by Bloomberg Businessweek

Via luiy
luiy's curator insight,

Where does Silicon Valley’s talent come from? This incredibly detailed map tells all.

The visualization, made by Bloomberg Businessweek, shows the top 100 sources of “imported talent,” from both U.S. states and foreign countries.

According to Bloomberg, “Asian Americans became the majority of the tech workforce in the Valley” in 2010; and one third of Valley startups “are founded by Indian Americans.” In addition, Mexico, Texas, and Arizona rank among the top ten sources of Silicon Valley talent, Bloomberg claims.

 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Les panneaux solaires du futur seront transparents

Belle avancéeSCIENCE - Produire de l'énergie solaire avec votre téléphone ou grâce au pare-brise de votre voiture? Ce n'est pas de la science-fiction. Des chercheurs de l'Université du Michigan ont réussi à mettre ...

Via Aurélie Thev'
No comment yet.
 Rescooped by Jean-Michel Livowsky from Complex World

## Physicists eye neural fly data, find formula for Zipf's law

Physicists have identified a mechanism that may help explain Zipf's law – a unique pattern of behavior found in disparate systems, including complex biological ones. The journal Physical Review Letters is publishing their mathematical models, which demonstrate how Zipf's law naturally arises when a sufficient number of units react to a hidden variable in a system.

Via Claudia Mihai
Jean-Michel Livowsky's curator insight,

Maintenant, on sait pourquoi les terroristes du hamaSS volent, et surtout comment.

 Rescooped by Jean-Michel Livowsky from Complex World

## Sand Pile Model of the Mind Grows in Popularity

Support is growing for a decades-old physics idea suggesting that localized episodes of disordered brain activity help keep the overall system in healthy balance

Via Claudia Mihai
No comment yet.
 Rescooped by Jean-Michel Livowsky from e-Xploration

## 2014 #Ebola Outbreak: Worldwide Air Transportation and Relative Import #Risk | #dataviz

Via luiy
luiy's curator insight,
The Nodes: Nodes in the network represent the largest 1227 airports in the worldwide air-transportation network (WAN) comprising approx. 95% of the entire global air traffic. The dataset used in our computational models contains more than 4000 airports, a total passenger flux of more than 3 billion passengers/year. Node size quantifies the capacity (size) of an airport. Colors correspond to geographical regions. Hover over a node for an additional info pop-up.
 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Les pays développés ne sont plus qu'à moitié riche

Les pays développés produisent désormais moins de 50% de la richesse mondiale, dépassés par la poussée économique des grands pays émergents... et des pays en développement.

Via Aurélie Thev'
Jean-Michel Livowsky's insight:

Voilà qui peut-être explique certaines choses !

No comment yet.
 Rescooped by Jean-Michel Livowsky from Complex World

## Physicists eye neural fly data, find formula for Zipf's law

Physicists have identified a mechanism that may help explain Zipf's law – a unique pattern of behavior found in disparate systems, including complex biological ones. The journal Physical Review Letters is publishing their mathematical models, which demonstrate how Zipf's law naturally arises when a sufficient number of units react to a hidden variable in a system.

Via Claudia Mihai
Jean-Michel Livowsky's insight:

Maintenant, on sait pourquoi les terroristes du hamaSS volent, et surtout comment.

No comment yet.
 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Le vertige technologique masque un déficit majeur d'Innovation organisationnelle

Les objets technologiques mettent parfois des années pour révéler les domaines sur lesquels ils agiront et quelles nouvelles applications ils (...)

Via Aurélie Thev'
Stéphane NEREAU's curator insight,

 Rescooped by Jean-Michel Livowsky from Complex World

## Connecting Core Percolation and Controllability of Complex Networks

Core percolation is a fundamental structural transition in complex networks related to a wide range of important problems. Recent advances have provided us an analytical framework of core percolation in uncorrelated random networks with arbitrary degree distributions. Here we apply the tools in analysis of network controllability. We confirm analytically that the emergence of the bifurcation in control coincides with the formation of the core and the structure of the core determines the control mode of the network. We also derive the analytical expression related to the controllability robustness by extending the deduction in core percolation. These findings help us better understand the interesting interplay between the structural and dynamical properties of complex networks.

Via Shaolin Tan, Alejandro J. Alvarez S., Tim Williamson, NESS, Claudia Mihai
Sibout Nooteboom's curator insight,

 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## Espionnage : des politiciens allemands pensent à la machine à écrire

Une chose est sûre (ou pas), une machine à écrire ne pourra jamais être piratée.

Via Aurélie Thev'
Jean-Michel Livowsky's insight:

FAUX ! C'est presque plus facile à pirater qu'un ordinateur !

No comment yet.
 Rescooped by Jean-Michel Livowsky from Intelligence stratégique et économique

## La NSA autorisée à espionner 193 pays et institutions dès 2010

Non seulement la NSA a eu l'autorisation d'espionner à tout va, mais la liste fournie par le Washington Post est disponible dans cet article! Et quelle liste! Avec des "amis" comme cela, il n'y a v...

Via Aurélie Thev'
No comment yet.
 Rescooped by Jean-Michel Livowsky from Complex World

## Experimental evidence of massive-scale emotional contagion through social networks

We show, via a massive (N = 689,003) experiment on Facebook, that emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. We provide experimental evidence that emotional contagion occurs without direct interaction between people (exposure to a friend expressing an emotion is sufficient), and in the complete absence of nonverbal cues.

Via Claudia Mihai
No comment yet.
 Rescooped by Jean-Michel Livowsky from Influence et contagion

## The evolution of #memes on Facebook | #SNA #contagion

Via luiy
luiy's curator insight,

A meme is an idea that is readily transmitted from person to person. But we humans are not perfect transmitters. While sometimes we repeat the idea exactly, often we change the meme, either unintentionally, or to embellish or improve it.

Take for example, the meme:

“No one should die because they cannot afford health care, and no one should go broke because they get sick. If you agree, post this as your status for the rest of the day”.

In September of 2009, over 470,000 Facebook users posted this exact statement as their status update. At some point someone created a variant by prepending "thinks that'' (which would follow the individual's name, e.g., “Sam thinks that no one…”), which was copied 60,000 times. The third most popular variant inserted "We are only as strong as the weakest among us'' in the middle. “The rest of the day” at one point (probably in the late evening hours) became “the next 24 hours”. Others abbreviated it to “24 hrs”, or extended it to “the rest of the week”.

Modeling memes as genes

So can memes really be modeled as genes? After all, Richard Dawkins originally coined the word "meme” to draw the analogy to genes when describing how ideas or messages replicate and evolve[1]. How would one test the hypothesis that memes undergo a process akin to biological evolution? First, tracing biological evolution is notoriously difficult because one must discern the lineage of specific genetic sequences through generations, without having the genetic sequence of many intermediate instances. But when studying Facebook memes, we have a very unique opportunity* to actually trace when copies and mutations occurred, and these are the two basic ingredients in the evolutionary process.