18 June 2012

Looking for the Perfect Tweet

PC Magazine (06/11/12) Damon Poeter 

Researchers at the University of California, Los Angeles and Hewlett-Packard's HP Labs have developed an algorithm that weighs factors such as an article's subject matter and source to determine its likely popularity on Twitter. The algorithm is 84 percent accurate in estimating which news tweets will hit and which will not before the news item itself is actually published. The researchers also were able to determine whether a news article would receive zero retweets with 66 percent accuracy. The news data for the study was collected from a news feed aggregator, and measurements of the spread are performed on Twitter, with the social popularity being determined by the number of times a news URL is posted and shared. To make a prediction, the algorithm considers the news source that generates and posts the article, the category of news the article falls under, the subjectivity of the language in the article, and the named entities mentioned in the article. "Additionally, by comparing with an independent rating of news sources, we demonstrate that there exists a sharp contrast between traditionally popular news sources and the top news propagators on the social Web," the researchers say. The study found that the news source is the most important predictor of an article's popularity.

16 June 2012

The jobs that will be wiped out by cloud computing


Revealed: The jobs that will be wiped out by cloud computing

Tech industry experts are predicting that demand for certain tech roles will dramatically decline over the next decade as organisations switch to cloud computing.

By 2020 the majority of organisations will rely on the cloud for more than half of their IT services, according to Gartner's 2011 CIO Agenda Survey.

After organisations have switched to the cloud the number of staff needed to manage and pr...

Read more
http://www.techrepublic.com/blog/cio-insights/revealed-the-jobs-that-will-be-wiped-out-by-cloud-computing-/39748762

11 June 2012

Reminder about your invitation from Pascal Fares

 
 
 
LinkedIn
 
This is a reminder that on June 6, Pascal Fares sent you an invitation to become part of their professional network at LinkedIn.
 
 
 
 
On June 6, Pascal Fares wrote:

> To: [pfares2.cloud@blogger.com]
> From: Pascal Fares [pfares@cofares.net]
> Subject: Invitation to connect on LinkedIn

> I'd like to add you to my professional network on LinkedIn.
>
> - Pascal
 
 
 
 
 
You are receiving Reminder emails for pending invitations. Unsubscribe.
© 2012 LinkedIn Corporation. 2029 Stierlin Ct, Mountain View, CA 94043, USA.
 

Reminder about your invitation from Pascal Fares

 
 
 
LinkedIn
 
This is a reminder that on June 6, Pascal Fares sent you an invitation to become part of their professional network at LinkedIn.
 
 
 
 
On June 6, Pascal Fares wrote:

> To: [pfares4.cloud@blogger.com]
> From: Pascal Fares [pfares@cofares.net]
> Subject: Invitation to connect on LinkedIn

> I'd like to add you to my professional network on LinkedIn.
>
> - Pascal
 
 
 
 
 
You are receiving Reminder emails for pending invitations. Unsubscribe.
© 2012 LinkedIn Corporation. 2029 Stierlin Ct, Mountain View, CA 94043, USA.
 

06 June 2012

Invitation to connect on LinkedIn

 
LinkedIn
 
 
 
Pascal Fares
 
From Pascal Fares
 
Founder and activist at Open Source Lebanese Movement
Lebanon
 
 
 

I'd like to add you to my professional network on LinkedIn.

- Pascal

 
 
 
 
 
 
You are receiving Invitation to Connect emails. Unsubscribe
© 2012, LinkedIn Corporation. 2029 Stierlin Ct. Mountain View, CA 94043, USA
 

Invitation to connect on LinkedIn

 
LinkedIn
 
 
 
Pascal Fares
 
From Pascal Fares
 
Founder and activist at Open Source Lebanese Movement
Lebanon
 
 
 

I'd like to add you to my professional network on LinkedIn.

- Pascal

 
 
 
 
 
 
You are receiving Invitation to Connect emails. Unsubscribe
© 2012, LinkedIn Corporation. 2029 Stierlin Ct. Mountain View, CA 94043, USA
 

A Search Engine for Social Networks Based on the Behavior of Ants

From ACM TechNews:
A Search Engine for Social Networks Based on the Behavior of Ants
Carlos III University of Madrid (Spain)
(06/04/12)

Carlos III University of Madrid (UC3M) researchers have developed SoSACO, an algorithm that accelerates the search for relationships among elements present in social networks. The researchers note that one of the main technical questions in the field of social networking involves locating the chain of reference that leads from one person to another. SoSACO solves this problem by accelerating the search for routes between two nodes that belong to a graph that represents a social network. SoSACO is based on the way ants move when they search for food. "The early results show that the application of this algorithm to real social networks obtains an optimal response in a very short time (tens of milliseconds)," says UC3M researcher Jessica Rivero. SoSACO enables the system to more easily find these routes, and without modifying the structure of the graph. "This advance allows us to solve many problems that we find in the real world, because the scenarios in which they occur can be modeled by a graph," the UC3M researchers say.

View Full Article
http://www.uc3m.es/portal/page/portal/news_repository/general_news/A%20search%20engine%20for%20social%20networks%20based%20on%20the%20behavior%20of?_template=/SHARED/pl_noticias_detalle_pub_ingles