Group items tagged

Social Network Analysis

Social network analysis has emerged as a set of methods for the analysis of social structures

is the study of social relations among a set of actors

Analytics & Predictive Models for Social Media

Part 1: Information flow in social media (slides) Collecting social media data Extracting and tracking the flow of relevant information Correcting for the effects of missing and incomplete data Predicting and modeling the flow of information Identifying networks of information flow Part 2: Rich user interactions (slides) Predicting and recommending links in network Modeling tie strenght Modeling trust and distrust, frieds and foes How users evaluate one another and the social media content

The NCAA’s popular March Madness basketball tournament is annually a cause of groans from know-it-all fans who think they they could have done a better job of picking its teams. But this year via Facebook, the NCAA is giving fans a chance to show that they could, indeed, make better selections.

Ramos said that the Super 10 is the NCAA’s first major Facebook contest, but that the “marriage of sports and social media is a really strong one because of all the fan excitement that surounds sports.”

Abstract The web is rapidly becoming both more open and more social through the provision of technologies that make it easier for end users to access resources and join in social networks. Social networks have pioneered online communities, allowing users to contribute to collective knowledge by tagging online resources. Tagging behavior increased dramatically between 2005 and 2007. This article reports on an investigation of social tagging using data gathered from Delicious, Flickr and YouTube for the years 2005, 2006 and 2007. Preliminary findings indicate both that it is possible to profile a social network through the analysis of tagging data and that Delicious is a more representative venue for analyzing the social tagging behavior of users than either Flickr or YouTube.

Many of the world’s biggest multinationals are now deploying analytics 2.0, a set of capabilities that can chew through terabytes of data and hundreds of variables in real time.

Yet we are trained to hold copyright as a natural right. People who infringe on copyright are labelled as pirates, thieves. We are told that they literally steal from hard-working creators.

Fourth myth: We know that copyright makes us collectively better off. The evidence points in the opposite direction. Germany had weak copyright laws up until the Copyright Act of 1901. Yet, maybe because of these weak laws, it became a literary and scientific power: (…), only 1,000 new works appeared annually in England at that time – 10 times fewer than in Germany – and this was not without consequences. Höffner believes it was the chronically weak book market that caused England, the colonial power, to fritter away its head start within the span of a century, while the underdeveloped agrarian state of Germany caught up rapidly, becoming an equally developed industrial nation by 1900. (No Copyright Law The Real Reason for Germany’s Industrial Expansion? by Frank Thadeusz)

Without copyright, authors would not get paid.

For monitoring gang activity, police have a free intelligence-gathering tool at their disposal: social media. This is just one example from Newport Virginia.

“From the perspective of police investigators, this is an intelligence gold mine because this is open source information,” Knox said. “It’s due diligence for any police department to take that stuff seriously.”

But social media alone doesn’t finish the investigation, as police have to corroborate and confirm any information, Spencer said. To use Facebook information in court, police also need to file search warrants.

Google has pledged $6.5 million in funding to support fact-checkers and nonprofit organizations that are combating misinformation around the world, with an immediate focus on coronavirus

an overabundance of information can make it harder for people to obtain reliable guidance about the coronavirus pandemic

the mixed and confused messaging around the pandemic has the potential to cause major damage. If even one group of people thinks that they're immune, for example, they could be going out in public, ignoring social distancing rules, and spreading the virus unwittingly, essentially undoing the efforts of those who've correctly self-isolated and sacrificed to play their part.

Les folksonomies peuvent constituer une alternative aux moteurs de recherche en permettant la construction de parcours et la mise en réseau d'informations mais aussi de personnes.

Pour beaucoup d’usagers, la recherche d’information est devenue synonyme de moteur de recherche voire de  « googlisation ». Cependant il existe désormais des alternatives à ce quasi monopole via notamment les folksonomies, mot composé par Thomas Vander Wal à partir de folk et de taxonomy et qui définit la possibilité offerte à l’usager d’ajouter des mots-clés à des ressources. Leurs stratégies de recherche diffèrent de la traditionnelle médiation des moteurs. Nous nous sommes interrogés sur la pertinence des folksonomies et leur intérêt réel dans le cas de la recherche d’information. En effet, la démarche « folksonomique » diffère de la simple requête et suppose d’autres habiletés. Cette analyse s’inscrit dans nos recherches sur les habiletés informationnelles ( information literacy ) Nos travaux sur ces nouveaux modes de partage et recherche d’informations s’appuient sur de nombreux tests des différentes plateformes permettant l’intégration de mots-clés qualifiés de tags. Nous nous sommes tout particulièrement ici appuyés sur les systèmes de partages de signets parfois appelés « marque-pages sociaux », voire signets sociaux (social bookmarks). Nous avons pu d’ailleurs constater que les différents sites d’intégration de favoris ont veillé à l’interopérabilité de leur système le plus souvent en utilisant le format xml. Une possibilité qui n’était pas offerte sur tous les sites il y a encore un an

Faut-il pour autant voir dans ces systèmes un concurrent  potentiel des moteurs ? Nous songeons plutôt à les considérer comme des alternatives au sens de cheminements de recherche différents qui nécessitent une construction et non une logique de push

World Map of Social Networks