Group items tagged

or centuries, the rich and the powerful documented their existence and their status through painted portraits.

Self-portraits can be especially instructive. By showing the artist both as he sees his true self and as he wishes to be seen, self-portraits can at once expose and obscure, clarify and distort.

Today, our self-portraits are democratic and digital; they are crafted from pixels rather than paints. On social networking websites like MySpace and Facebook, our modern self-portraits feature background music, carefully manipulated photographs, stream-of-consciousness musings, and lists of our hobbies and friends.

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

Social networks are flooded with potential customers.

A social business engages the entire company, from CEO to executive assistant. Take advantage of the opportunity to foster your company’s internal community and teach valuable social media skills as the space rapidly grows and evolves.

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.

more than four in ten Americans hear about or read tweets almost every day in media.

The “Social Habit” is defined as “the tendency to visit social media websites a few times per day.

Despite these individual contributions (which we will revisit in more detail in Section 2), to fully understand tagging systems we believe a holistic approach is necessary. Walker [24] describes tagging as “feral hypertext”, a structure out of control, where the same tag is assigned to different resources with different semantic senses, and thus associates otherwise unrelated resources. However, by considering the entire model, computer systems could make inferences that “domesticate” (to use Walker’s terms) these “feral” tags. For example, tag semantics and synonyms could potentially be inferred by analyzing the structure of the social network, and identifying certain portions of the network that use certain tags for the same resource, or related resources, interchangeably. These tags may be synonymous

Different designs and user incentives can have a major influence on the usefulness of information for various purposes and applications, and in a reciprocal fashion, on how users appropriate and utilize these systems. The design of the system may solicit tagging useful for discovery, retrieval, remembrance, social interaction, or possibly, all of the above

Other likely explanations for the observed correlation between social connection and common tag usage may be found in the descriptive categories of sociolinguistics which studies how different geographic and social formations structure the coherence and diffusion of semantic and syntactic structures in various ”lects” within a larger sociolinguistic system. Some of these example lects include: dialect (a lect used by a geographicallydefined community); sociolect (a lect used by a socially defined community); ethnolect (a lect spoken by a particular ethnic group); ecolect (a lect spoken within a household or family); and idiolect (a lect particular to a certain person). If we conceptualize social tagging systems within the theoretical frame of sociolinguistics, these and other “lects” seem especially applicable to understanding and classifying the apparent isomorphism between social and linguistic structures we observed in Flickr. The structures, changes, and diffusion within and amongst various “lects” in social tagging systems will likely have similar patterns to those found in social network analyses and in sociolinguistic language maps.

Collective Knowledge Systems: Where the Social Web meets the Semantic Web

What can happen if we combine the best ideas from the Social Web and Semantic Web?

The Vision of Collective Intelligence

of two hours every day sharing, liking, tweeting and updating on these platforms,

conclusive findings are limited

our feeds often resemble an endless stream of stress.

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

Abstract Tools for social networking and social awareness are developing rapidly and evolving continuously. They are gaining popularity in a growing number of professional as well as personal activities, including scholarly research. There are social awareness tools for science researchers that facilitate collaboration, help manage references, and offer options for presenting findings in new ways. This paper discusses those tools. Evaluating and understanding their functionalities requires effort, and scientists can be reluctant to invest the necessary time to learn to use and populate them on their own. This suggests that an important role for librarians is to evaluate the many social awareness tools available, to recommend the ones that are best suited to each researcher's needs, and to help researchers use those tools effectively.

the majority of users still seem to prefer using public tools such as Facebook and LinkedIn than their corporate network. 

If you follow some of these tips however you can go some way to ensuring your internal network achieves the results you want.

4. Integrate with existing systems

World Map of Social Networks