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e-Xploration
antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Inside the $400-million #political network backed by the Kochs | #dataviz

Inside the $400-million #political network backed by the Kochs | #dataviz | e-Xploration | Scoop.it

In an analysis of 2011 and 2012 tax filings, The Washington Post and the Center for Responsive Politics found that a coalition of nonprofit groups backed by a donor network organized by the billionaire industrialists Charles and David Koch raised more than $400 million in the last election cycle. Much of the money was distributed to a maze of limited-liability companies affiliated with the nonprofits, which used some of their resources to turn out conservative voters and run ads against President Obama and congressional Democrats.


Via Claudia Mihai
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The Data Visualisation Catalogue | #dataviz

The Data Visualisation Catalogue | #dataviz | e-Xploration | Scoop.it
The Data Visualisation Catalogue, helping you find the right data visualization method for your data

Via Jacek Bugajski
luiy's insight:

About the website

The Data Visualisation Catalogue is currently an on-going project developed by Severino Ribecca.

 

Originally, this project was a way for me to develop my own knowledge of data visualisation and create a reference tool for me to use in the future for my own work. However, I thought it would also be useful tool to not only other designers, but also anyone in a field that requires the use of data visualisation regularly (economists, scientists, statisticians etc).

 

Although there have been a few attempts in the past to catalogue some of the established data visualisation methods, there is no website that is really comprehensive, detailed or helps you decide the right method for your needs.

 

I will be adding in new visualisation methods, bit-by-bit, as I research each method to find the best way to explain how it works and what it is best suited for.

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Jacek Bugajski's curator insight, January 29, 10:31 AM
The Data Visualisation Catalogue
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Vie privée numérique : Création d'un #Observatoire des Libertés | #privacy

Vie privée numérique : Création d'un #Observatoire des Libertés | #privacy | e-Xploration | Scoop.it
Depuis 1978 et la promulgation de la loi Informatiques et Libertés, et 1989 avec la création de Delis (Droits et Libertés face à l'Informatisation de la Société) rien n'avait été fait dans le domaine.

Via Sandrine Mathon
luiy's insight:

Assange, Wikileaks, Bradley Manning puis Edward Snowden et le scandale de la surveillance massive à échelle planétaire de la NSA mais également la (trop?) discrète Loi de Programmation Militaire (LPM) ne doivent pas y être étrangers. Les nouvelles problématiques mises en lumière par l’ère du tout numérique (vie professionnelle et vie privée) contraignent à être de plus en plus vigilants concernant les données personnelles que l’on laisse traîner sur la toile ou la sécurité de nos fichiers stockés sur un quelconque serveur distant ou ordinateur personnel, quand ce ne sont pas les entreprises et gouvernements eux-mêmes qui mènent la traque sur Internet.

Ainsi, associations et syndicats réunissant avocats, universitaires et citoyens engagés ont pris l’initiative de lancer lundi 27 janvier, soit la veille de la journée européenne de la protection des données créée en 2007 (bon timing), l’Observatoire des libertés et du numérique.

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Data Everywhere: #DataAnthropology, Quantified Self, Machine Data, Human Centered Design, and more | #bigdata #opendata

Data Everywhere: #DataAnthropology, Quantified Self, Machine Data, Human Centered Design, and more | #bigdata #opendata | e-Xploration | Scoop.it
In mid-February, Strata returns to Santa Clara for its fourth year. Since the conference started, it’s grown in size and scope, broadening its focus to include design...

Via Pierre Levy
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Google's Grand Plan to Make Your Brain Irrelevant | #algorithms

Google's Grand Plan to Make Your Brain Irrelevant | #algorithms | e-Xploration | Scoop.it
Google is on a shopping spree. But instead of a shopping cart filled with gadgets or groceries, its aggressive buy-up of robotics, smart device, and artificial intelligence startups is Google's way of assembling the pieces and people it needs to...
luiy's insight:

Basically, the idea is to mimic the biological structure of the human brain with software so that it can build machines that learn “organically” — that is, without human involvement.

 

Google is already working to apply these insights to its familiar consumer products and services. Deep learning can help recognize what’s in your photos without asking you to tag them yourself, and it can help understand human speech, a key tool for its smartphone apps and Google Glass computerized eyewear. But Google also sees the new AI as a better way to target ads — the core of its business.

 

The DeepMind acquisition is one more step down this road. And though the company has not said as much, you can bet that this new form of AI will also play into things like Nest smart thermostats, the Google self-driving cars, and its big push into robotics.

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L'intelligence collective : John Nederreiter at TEDxQuebec | #CI

Le présent paradigme de la propriete intellectuelle nuit a l elaboration et a la proliferation des idees. Est-il possible de partager les inventions tout en préservant l'opportunité de profiter des retombées économiques ?


Via Vincent Porte, Jean-Claude DUSSAUCY, thierrydenys
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Jean-Claude DUSSAUCY's curator insight, January 18, 6:21 AM

Préserver la ressource "temps", refuser l'urgence à tout prix ... La réflexion collective demande un investissement en temps dont le ROI sera très court

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How Information Flows During #Emergencies | #SNA #patterns

How Information Flows During #Emergencies |  #SNA #patterns | e-Xploration | Scoop.it
Mining the mobile phone data from 10 million people over 4 years reveals the subtle changes that occur in the flow of information when disaster strikes, say network scientists.
luiy's insight:

In particular, they studied the communications behaviour or two groups of people. The first consists of people close enough to the emergency event to be directly influenced by it. The second are the group of people called by the first group, presumably made up largely of close friends and relatives.

 

Since the question Liang and co want to examine is how the communication behaviour of both groups change during the emergency, they also study how people behave in ordinary circumstances, such as during a concert.

 

When an emergency occurs, there is an immediate spike in activity from the first group as they call or text their friends and relatives about the situation. At the same time, the activity of the second group also spikes.

 

--------------

 

Liang and co conclude that the need for correspondence with eyewitnesses is more critical than the dissemination of situational awareness during emergencies.” In other words, the desire to want to find out more trumps the need to pass on what they already know. At least in emergency situations.

 

Ref:  arxiv.org/abs/1401.1274: Quantifying Information Flow During Emergencies

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Timeline of #NSA Domestic Spying 1952-2014 | #surveillance #privacy

Timeline of #NSA Domestic Spying 1952-2014 | #surveillance #privacy | e-Xploration | Scoop.it
All of the evidence found in this timeline can also be found in the Summary of Evidence we submitted to the court in Jewel v. National Security Agency (NSA).
luiy's insight:

The timeline also includes documents leaked by the Guardian in June 2013 that confirmed the domestic spying by the NSA. The documents range from a Top Secret Court Order by the secret court overseeing the spying, the Foreign Intelligence Surveillance Court (FISA Court), to a working draft of an NSA Inspector General report detailing the history of the program. The "NSA Inspectors General Reports" tab consists of one of three documents: a July 10, 2009 report written by Inspectors General of the Department of Justice (DOJ), NSA, Department of Defense (DOD), Central Intelligence Agency (CIA), and the Office of the Director of National Intelligence; an internal working draft NSA Inspector General report leaked by the Guardian on June 27, 2013; and, an "End to End Review" of the Section 215 program conducted by the NSA for the FISA Court. For a short description of the people involved in the spying you can look at our Profiles page, which includes many of the key characters from the NSA Domestic Spying program.

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A visual exploration of refugee #migrations | #dataviz

A visual exploration of refugee #migrations | #dataviz | e-Xploration | Scoop.it

Via Becheru Alexandru
luiy's insight:

The interactive is based on United Nations data, which is naturally limited in scope, because it's difficult to count undocumented migrations, but there is plenty to learn here about major political and social events in history.

 

The map starts in 1975, and with each tick of a year, the circles adjust to show outgoing numbers. Mouse over a circle, and you can see estimates for where people went, which is represented with extending lines.

 

Document icons appear over major event locations which provide more context about what happened in the country. This is key. I just wish there were more of them. It'd provide an even better history lesson.

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High-Resolution Maps of Science | #dataviz #scientometrics

High-Resolution Maps of Science | #dataviz #scientometrics | e-Xploration | Scoop.it

'Maps of science derived from citation data visualize the relationships among scholarly publications or disciplines. They are valuable instruments for exploring the structure and evolution of scholarly activity. Much like early world charts, these maps of science provide an overall visual perspective of science as well as a reference system that stimulates further exploration. However, these maps are also significantly biased due to the nature of the citation data from which they are derived: existing citation databases overrepresent the natural sciences; substantial delays typical of journal publication yield insights in science past, not present; and connections between scientific disciplines are tracked in a manner that ignores informal cross-fertilization..'


Via Nicholas Goubert, Lauren Moss, Rui Guimarães Lima
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Connected China. Reuters | #Dataviz #corruption

Connected China. Reuters | #Dataviz #corruption | e-Xploration | Scoop.it
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Using #NodeXL to decipher #bigdata | #SNA

Using #NodeXL to decipher #bigdata | #SNA | e-Xploration | Scoop.it
Quirks Marketing Research Review magazine, January 2014. Featuring articles on online research - among others.
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Social Network Analysis of Science #Crowdfunding | #SNA

Social Network Analysis of Science #Crowdfunding | #SNA | e-Xploration | Scoop.it
CrowdFundingPlanning is a Complete Solution for a Fast and Successful CrowdFunding campaign empowering SMBs, Start-ups, Entrepreneurs, CF Expert Professionals and Investors Community.

Power of the Crowd, Expert and Cloud Sourcing.
luiy's insight:

Readers will remember when I announced Ethan Perlstein‘s plan to crowdfund his scientific research. Well, since then, Ethan has been combining two of my interests: alternative ways of funding science and network science. In his attempt to achieve his goal of raising $25,000, Ethan has been attempting to understand what conditions and connections yield the most money. And network analysis is one component of this.


Some of his analyses have looked at the statistical properties of the donations so far, confirming that donations do not come in at a constant rate (there is often a burst in the beginning and end, with some stagnation in the middle). In addition, Ethan recently emailed me an analysis based on his Facebook friends, and who donated and who did not:

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Social network e bigdata, “ #sentiment analysis” | #datascience #algorithms

Social network e bigdata, “ #sentiment analysis” | #datascience #algorithms | e-Xploration | Scoop.it
Un libro illustra le basi di questa analisi delle opinioni . Che inizia a prendere piede anche nel nostro Paese. In politica (e non solo)
luiy's insight:

ALGORITMI E BOT - Fare sentiment analysis però significa anche capire se l'opinione espressa è positiva o negativa. Ossia stabilire il grado di felicità su un determinato tema degli utenti. Per fare questo ulteriore passo, i tre ricercatori hanno rielaborato un complesso algoritmo indipendente dalla lingua usata dall'utente. Ma al lavoro meccanico va sempre aggiunto quello manuale. «Se vogliamo capire quanto gli utenti siano felici o meno dell'elezione di Papa Francesco, non possiamo affidarci solo ai computer», sintetizza Iacus. Una macchina infatti non è in grado di comprendere certe espressioni, così come non è capace, ad esempio, di associare determinati soprannomi (si pensi a Berlusconi) a una figura politica. O di interpretare espressioni come "che bella fregatura". Ecco perché allora è necessario il lavoro umano.

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Exclusive: How Google's #Algorithms Rules the Web

Exclusive: How Google's #Algorithms Rules the Web | e-Xploration | Scoop.it
Want to know how Google is about to change your life? Stop by the Ouagadougou conference room on a Thursday morning. It is here, at the Mountain View, Cali

Via Pierre Levy, juandoming
luiy's insight:

Google is famously creative at encouraging these breakthroughs; every year, it holds an internal demo fair called CSI — Crazy Search Ideas — in an attempt to spark offbeat but productive approaches. But for the most part, the improvement process is a relentless slog, grinding through bad results to determine what isn’t working. One unsuccessful search became a legend: Sometime in 2001, Singhal learned of poor results when people typed the name “audrey fino” into the search box. Google kept returning Italian sites praising Audrey Hepburn. (Fino means fine in Italian.) “We realized that this is actually a person’s name,” Singhal says. “But we didn’t have the smarts in the system.”

 

The Audrey Fino failure led Singhal on a multiyear quest to improve the way the system deals with names — which account for 8 percent of all searches. To crack it, he had to master the black art of “bi-gram breakage” — that is, separating multiple words into discrete units. For instance, “new york” represents two words that go together (a bi-gram). But so would the three words in “new york times,” which clearly indicate a different kind of search. And everything changes when the query is “new york times square.” Humans can make these distinctions instantly, but Google does not have a Brazil-like back room with hundreds of thousands of cubicle jockeys. It relies on algorithms.

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Catherine Pascal's curator insight, January 30, 3:33 AM

 Clair !!

Mlik Sahib's curator insight, January 30, 9:08 PM

"The comparison demonstrates the power, even intelligence, of Google’s algorithm, honed over countless iterations. It possesses the seemingly magical ability to interpret searchers’ requests — no matter how awkward or misspelled. Google refers to that ability as search quality, and for years the company has closely guarded the process by which it delivers such accurate results. But now I am sitting with Singhal in the search giant’s Building 43, where the core search team works, because Google has offered to give me an unprecedented look at just how it attains search quality. The subtext is clear: You may think the algorithm is little more than an engine, but wait until you get under the hood and see what this baby can really do."

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danah boyd: It's Complicated: Teen #Privacy in a Networked Age | @zephoria #cyberculture

danah boyd from Microsoft Research presents "It's Complicated: Teen Privacy in a Networked Age" at FOSI's 7th Annual Conference (#fosi2013) titled 'Connect.S...
luiy's insight:

But as Dr. Boyd sees it, adults are worrying about the wrong things.

Children today, she said, are reacting online largely to social changes that have taken place off line.

 

“Children’s ability to roam has basically been destroyed,” Dr. Boyd said in her office at Microsoft, where a view of the Boston skyline is echoed in the towers of books on her shelves, desk and floor. “Letting your child out to bike around the neighborhood is seen as terrifying now, even though by all measures, life is safer for kids today.”

Children naturally congregate on social media sites for the relatively unsupervised conversations, flirtations, immature humor and social exchanges that are the normal stuff of teenage hanging-out, she said.

 

“We need to give kids the freedom to explore and experience things online that might actually help them,” she added. “What scares me is that we don’t want to look at the things that make us uncomfortable. So rather than see what teenagers are showing us online about bullying and suicide and the problems they’re dealing with and using that information to help them, we’re making ourselves blind to it.”

 

http://www.nytimes.com/2012/01/22/fashion/danah-boyd-cracking-teenagers-online-codes.html?_r=0

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The Age of 'Infopolitics' | #privacy #dataAwareness #infopersons

The Age of 'Infopolitics' | #privacy #dataAwareness #infopersons | e-Xploration | Scoop.it
As digital persons, we’re vulnerable to new, digital injustices.

Via Pierre Levy
luiy's insight:

We need a concept of infopolitics precisely because we have become infopersons. What should we do about our Internet and phone patterns’ being fastidiously harvested and stored away in remote databanks where they await inspection by future algorithms developed at the National Security Agency, Facebook, credit reporting firms like Experian and other new institutions of information and control that will come into existence in future decades? What bits of the informational you will fall under scrutiny? The political you? The sexual you? What next-generation McCarthyisms await your informational self? And will those excesses of oversight be found in some Senate subcommittee against which we democratic citizens might hope to rise up in revolt — or will they lurk among algorithmic automatons that silently seal our fates in digital filing systems?


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Infopolitics, infopersons, algorithms, NSA, informational self, data awareness.

 

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Mlik Sahib's curator insight, January 30, 9:31 PM

"As soon as we learn to see ourselves and our politics as informational, we can begin to see the importance of surveillance reforms of the sort proposed by Senator Ron Wyden, Democrat  of Oregon, as well as the wisdom implicit in the transgressions of “hacktivists” whose ethics call for anonymity and untraceability. Despite their decidedly different political sensibilities, what links together the likes of Senator Wyden and the international hacker network known as Anonymous is that they respect the severity of what is at stake in our information. They understand that information is a site for the call of justice today, alongside more quintessential battlefields like liberty of thought and equality of opportunity. Willingness to see ourselves as informational persons subject to informational powers could help us bring into view what will be required to protect the many individual rights and social ties now inhering in all those bits and bytes."

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Google acquiert DeepMind, start-up en intelligence artificielle | #algorithms #NSA

Google acquiert DeepMind, start-up en intelligence artificielle | #algorithms #NSA | e-Xploration | Scoop.it
Google continue de surfer sur la vague de la robotique et de l’intelligence artificielle. En rachetant la startup britannique DeepMind, spécialisée dans l’AI, le géant du web dévoile ses intentions un peu plus.
luiy's insight:

Google vient d’acquérir DeepMind Technologies pour environ 400.000 dollars. DeepMind se définit comme une startup combinant les meilleures méthodes d’apprentissage automatique et des neurosciences des systèmes pour construire des algorithmes utilisables dans la vie de tous les jours. DeepMind commercialise ses applications pour des simulations e-commerce et les jeux vidéos.

 

-------------------------------------------------------

 

Plus aucun doute : Google axe sa stratégie autour de l’intelligence artificielle, indispensable notamment pour ses applications de traduction ainsi que ses solutions de reconnaissance vocale. Après le recrutement de Ray Kurzweil, le père des théories sur la singularité technologique et la création en mai dernier d’un laboratoire baptiséQuantum Artificial Intelligence Lab en collaboration avec la NASA, Google se donne un peu plus les moyens de développer des algorithmes capables de faire des prévisions plus précises.

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Le compost de l'intelligence collective | #CI Intelligence Collective Holomidale

Le compost de l'intelligence collective | #CI Intelligence Collective Holomidale | e-Xploration | Scoop.it
Luc Schuiten, les villes de demain   Il ne faut pas opposer l'ancien système de l'intelligence pyramidale, mourant, à celui, naissant, de l'intelligence collective holomidale. J'entends tout l...

Via Nathalie Carpentier, Claude Emond
luiy's insight:

Il ne faut pas opposer l’ancien système de l’intelligence pyramidale, mourant, à celui, naissant, de l’intelligence collective holomidale. J’entends tout le temps des gens dire que même s’il y a une innovation sociale indéniable, les outils demeurent le monopole des organisations à intelligence collective pyramidale, faites pour faire du profit et pour contrôler. Les gens qui disent cela opposent des systèmes politiques dans une vision intellectuelle des idéologies. Mes recherches se contentent d’observer l’évolution, pas d’argumenter si tel ou tel système politique devrait prévaloir. De manière pragmatique et concrète, on a une loi du vivant : tout nouvel écosystème doit pousser sur l’ancien. L’ancien, tout en rejetant le nouveau, lui offre les briques fondamentales ainsi que le compost issu de sa propre décomposition. Ses manifestations paroxystiques –plus de concentration des pouvoirs et de l’argent, plus de normalisation, etc– provoquent également une dynamique d’évolution pour ceux qui veulent s’extraire de cette matrice. Ainsi l’intelligence collective holomidale, en attendant de devenir un écosystème social autonome, pousse-t-elle sur le terreau de l’intelligence collective pyramidale. Il y a un processus fractal, complexe et non-linéaire.

 

 

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António F Fonseca's curator insight, January 26, 5:00 AM

Powerful idea : all new regimes only evolve from and within old ones not ab initio.

Claude Emond's comment, January 26, 5:25 AM
Le mécanisme décrit (bâtir sur les anciennes fondations) est celui décrit dans la «spyrale dynamique» de Graves, Beck et récupéré par Wilber dans les stages de développement de son modèle du monde AQAL. Je vais vous scooper quelques sites et ouvrages là dessus, au cas où c'est un peu nouveau pour vous :)
Dominique Marot's curator insight, February 7, 2:12 AM

Les grands changements passent par une petite minorité...

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[fiction N°7] La Plateformisation a commencé - Les transports du futur | #bigdataPerso #CI

[fiction N°7] La Plateformisation a commencé - Les transports du futur | #bigdataPerso #CI | e-Xploration | Scoop.it
« La valeur de la donnée disparaît quand on parvient à lui en donner une. Il faudra fixer la valeur en remontant le temps.

Via Pierre Levy
luiy's insight:

Inspiré par le programme Datact, Mathieu, talentueux programmeur, avait réalisé, avec une équipe internationale, le premier « révélateur stockeur de données personnelles » et avait proposé plusieurs théories majeures sur les modèles d’échanges de richesses des données. Le « révélateur stockeur » était un outil citoyen conçu pour comprendre cet équilibre risques/bénéfices. Il affichait clairement pour qui, pourquoi les GAFA et autres plateformes marchandes utilisaient vos traces numériques ? à qui étaient-elles fournies ? pour quels bénéfices ? Puis vous pouvez décider de les aspirer intégralement, pour les stocker sur des serveurs sécurisés et gérer votre propre compte de data, votre Big Data perso. Vous décidez alors qui les utilise et pour quels usages, comme Green Button le proposait déjà en 2013 dans le domaine de l'énergie. Des usages philanthropiques de vos données sont également possible (comme ce don d'activité physique pour ceux qui souffrent de la faim). Ce gisement de données avait naturellement fourni de la matière première à une plateforme citoyenne mondiale (à l'image de nombreux exemples actuels et de BitCloud). Et les premiers services citoyens territorialisés sont apparus dans ce village, tout simplement. Ces citoyens avaient tant de talents, de richesses dans un environnement contraint géographiquement et budgétairement.


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Sans le savoir, cette rupture allait faire émerger une nouvelle forme d'intelligence, l'intelligence collective holomidale, reliant des citoyens entre eux, sans structure de commandement, horizontalement, et en grand nombre. Au début, nous étions maladroits et pourtant de nombreuses richesses avaient déjà émergé (lire cet article de Valérie Peugeot sur Les collectifs numériques, source d'imaginaire politique) : partage de savoirs, monnaies alternatives, réhabilitation urbaine, solidarités intergénérationnelles ou de quartier, énergies alternatives, financements participatifs, gestion de conflits, troc de semences, circuits courts de consommation, recyclage, do-it-yourself, carte contributive....



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The #changing nature of work | Harold Jarche | #sharing

The #changing nature of work | Harold Jarche | #sharing | e-Xploration | Scoop.it

Via juandoming
luiy's insight:

First of all, it is becoming obvious that the fundamental nature of work is changing as we transition into a post-job economy. The major driver of this change is the automation of procedural work, especially through software, but increasingly with robots. The drivers behind the post-job economy are also changing our work structures. Organizations will need to become more networked, not just with information technology, but how knowledge workers create, use, and share knowledge. This new workplace also will require different leadership that emerges from the network and temporarily assumes control, until new leadership is required. Giving up control will be a major challenge for anyone used to the old ways of work. An important part of leadership will be to ensure that knowledge is shared. But moving to a knowledge-sharing organizational structure will be difficult, because of the knowledge sharing paradox; which is that the more control is exerted, the less knowledge is shared. All of these challenges need to be addressed, and rather quickly, as software continues to eat jobs, and income disparities get wider.

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Visualization techniques for categorical analysis of social networks with multiple edge sets | #SNA

Visualization techniques for categorical analysis of social networks with multiple edge sets | #SNA | e-Xploration | Scoop.it

Via Becheru Alexandru
luiy's insight:

The node link graph on the left runs into limitation when trying to compare multiple properties, since only one property can be mapped to color at a time. This makes it hard for the user to look at both gender and grade level. In the radial layout on the right, we group by grade and map color to gender. The visualization starts with 8th grade on top and continues counter-clockwise with 12th grade at bottom right and unknown to the top right. The radial layout shows that gender plays less of a role as kids get older (there is more mixing of gender in higher grades).

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Christine Hine on virtual #ethnography’s E3 Internet | #cyberanthropology

Christine Hine on virtual #ethnography’s E3 Internet | #cyberanthropology | e-Xploration | Scoop.it
Christine Hine is an early pioneer of virtual ethnography and has been at the forefront of movements towards redefining ethnography for the digital age. She is currently a Reader at the University ...
luiy's insight:

HF: What do you think are the key challenges that ethnographers face in trying to study the Internet today?


CH: Robinson and Schulz, in their 2009 paper, describe evolving forms of ethnographic practice in response to the Internet and digitally mediated environments. They divide this into three phases that include a) pioneering, where cyberethnographers focused on issues of identity play and a separation between online and offline identities 2) legitimizing (in which my own work is situated) where ethnographers explored the use of offline methods in the online sphere and, 3) multi-modal approaches where ethnographers are concerned with how participants combine different modes of communication.

 

I believe that we are still in the process of having to legitimize cyber ethnography and that multi-modal approaches are a worthy goal for virtual ethnography. The key challenge here is in understanding how to do multi-modal studies. This is especially challenging since the ethnographer’s toolkit changes with every new setting. We don’t know what that toolkit consists of because every time we do a new study, we have to choose what combination of sites, methods, writing practices and techniques we need to use.

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Reuters Connected China Promo | #Datajournalism

Connected China is an interactive tool tracking thousands of people, institutions and connections that form China's elite power structure. For iPad and deskt...
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Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet Rate in Twitter Network | #datascience

Presented at SocialCom 2010 conference Aug 21st 2010
luiy's insight:

Retweeting is the key mechanism for information
diffusion in Twitter. It emerged as a simple yet powerful way of
disseminating information in the Twitter social network. Even
though a lot of information is shared in Twitter, little is known
yet about how and why certain information spreads more widely
than others. In this paper, we examine a number of features that
might affect retweetability of tweets. We gathered content and
contextual features from 74M tweets and used this data set to
identify factors that are significantly associated with retweet rate.
We also built a predictive retweet model. We found that, amongst
content features, URLs and hashtags have strong relationships
with retweetability. Amongst contextual features, the number of
followers and followees as well as the age of the account seem to
affect retweetability, while, interestingly, the number of past
tweets does not predict retweetability of a user’s tweet. We
believe that this research would inform the design of sensemaking 

and analytics tools for social media streams.

 

Article in :  http://www-users.cs.umn.edu/~echi/papers/2010-socialcom/2010-06-25-retweetability-cameraready-v3.pdf

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