Digital Living and Social Networks Alessio Malizia, Prof., PhD, Computer Engineering Dep. University...
If you can't read please download the document
Digital Living and Social Networks Alessio Malizia, Prof., PhD, Computer Engineering Dep. University Carlos III of Madrid, Spain [email protected] dei.inf.uc3m.es
Digital Living and Social Networks Alessio Malizia, Prof., PhD,
Computer Engineering Dep. University Carlos III of Madrid, Spain
[email protected] dei.inf.uc3m.es [email protected]
Slide 2
Universidad Carlos III de Madrid Madrid
Slide 3
Universidad Carlos III de Madrid
Slide 4
Informatics at UC3M The degree in Informatics Engineering of
Universidad Carlos III of Madrid has the following principal
distinctive features: 4-year education, taking 240 credits.
Internationalization, as it is a degree that is adapted to the
European Higher Education Area (EHEA). Possibility of choosing
English/Spanish bilingual education. New teaching methods adapted
to the EHEA that include ongoing evaluation, group work, etc., to
quantify all the students work, not just that in the classroom.
Large practical component, as at least 40% of total credit weight
is dedicated to tutored laboratory practicum. Existence of teaching
resources adjusted to the number of students, with classrooms and
laboratories where a computer per student is available in many
cases. Possibility of carrying out in-company internships.
Possibility of studying in Europe through Erasmus exchanges. There
are currently agreements with a number of universities. Outstanding
dedication of the teaching faculty who are highly experienced and
are in constant contact with the student. All these features have
enabled Informatics Engineering at Universidad Carlos III of Madrid
to hold second place in the NATIONAL ranking of degrees published
in "El Mundo" newspaper in May 2008, and the employability of these
graduates is 100%, just as soon as they finish their studies and
even before.
Slide 5
DEI Lab @ UC3m dei.inf.uc3m.es [email protected] Web applications
Information access Interactive systems
Slide 6
Outline Digital Living Social Networks as Science Technology
Popular Culture Developing for Cooperation Tagging Mash-ups
Conclusions
Slide 7
Entertainment Communication & Collaboration Daily Life
Working and Learning
Slide 8
Evolution of Digital Living e-mail website e-commerce tools
e-commerce tools e-business tools e-business tools environment for
network environment for network digital ecosystems digital
ecosystems Digital Interaction living Digital Interaction living
Extent of economical impact, organizational change and
sophistication* Internal/ External Communications Visibility and
diffusion of information On-line market and payments Maximize
accessibility to global markets Supply Chains Value-chain
integration Reduction of distribution costs Outsourcing Virtual
Enterprises Crowdsourcing Knowledge sharing Web Services and
Solutions People, community, Society Ergonomy Content Management
Digital Rights Management Management of Change
Slide 9
Focus switch Technology Computers Supercomputers Programming
Optimization Applications and Services People Mobile Devices
Usability, Universal Access
Slide 10
Slide 11
Slide 12
Perspective on Users User Customer Producer or Consumer Stand
Alone Participant Designer Producer and Consumer
Interconnected
Slide 13
User Participant
Slide 14
Perspective on Users User Customer Producer or Consumer Stand
Alone Participant Designer Producer and Consumer
Interconnected
Slide 15
Audience Designer
Slide 16
Perspective on Users User Customer Producer or Consumer Stand
Alone Participant Designer Producer and Consumer
Interconnected
Slide 17
Consumer and Producer
Slide 18
Slide 19
Perspective on Users User Customer Producer or Consumer Stand
Alone Participant Designer Producer and Consumer
Interconnected
Slide 20
Stand alone Interconnected
Slide 21
Outline Digital Living Social Networks as Science Technology
Popular Culture Developing for Cooperation Tagging Mash-ups
Conclusions
Slide 22
Social Networks
Slide 23
social networks as science Social network analysis is an
interdisciplinary social science, but has been of special concern
to sociologists. Recently, physicists and mathematicians have made
large contributions to understanding networks in general (as
graphs) and thus contributed to an understanding of social networks
too.
Slide 24
social networks as science [Social network analysis] is
grounded in the observation that social actors [i.e., people] are
interdependent and that the links [i.e., relationships] among them
have important consequences for every individual [and for all of
the individuals together].... [Relationships] provide individuals
with opportunities and, at the same time, potential constraints on
their behavior.... Social network analysis involves theorizing,
model building and empirical research focused on uncovering the
patterning of links among actors. It is concerned also with
uncovering the antecedents and consequences of recurrent patterns.
(from Linton C. Freeman)
Slide 25
social networks as science A and B are structurally equivalent
because they connect to the same people and thus have equivalent
positions in the network. B A
Slide 26
social networks as science Centrality is computed from the
number of direct connections between nodes. Diane is central (6/9);
Jane is not (1/9). orgnet.com/sna.html
Slide 27
social networks as science if youre a boy in this network (a
triangle) and you want to meet a girl (a circle), who are you going
to call for an introduction? Bridge
Slide 28
social networks as technology email, newsgroups, and weblogs.
In the design of the arpanet (the forerunner to the internet) email
was an afterthought!
Slide 29
social networks as technology search engines: e.g., Google
(www.google.com) Googles Page Rank algorithm gives more weight to
popular webpages. A webpage is considered popular if many other
webpages link to it. collaborative filtering and/or recommender
systems; e.g., amazon.coms feature: People who bought this book
also bought... Amazon Mechanical Turk Artificial Artificial
Intelligence
Slide 30
social networks as technology
http://quartz.syr.edu/rdlankes/blog/?cat=5
Slide 31
social networks as popular culture
Slide 32
e.g., six degrees of kevin bacon bacon number: definition
http://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_B acon kevin
bacon has a bacon number of 0 an actor, A, has a bacon number of 1
if s/he appeared in a movie with kevin bacon an actor, B, has a
bacon number of 2 if s/he appear in a movie with A etc. Try it at
http://oracleofbacon.org/
Slide 33
social networks as popular culture Social software; e.g.,
facebook, friendster, orkut, tribe, etc. Recall the article by
danah boyd: what happens to social networks when they are
explicitly declared? [danah] emphasize[s] how users have repurposed
the technology to present their identity and connect in personally
meaningful ways while the architect works to define and regulate
acceptable models of use. To understand artificial social networks
we need to rethink the social scientific concepts of equivalence,
centrality, even node and link.
Slide 34
Outline Digital Living Social Networks as Science Technology
Popular Culture Developing for Cooperation Tagging Mash-ups
Conclusions
Slide 35
Developing for Cooperation By Gerhard Fisher
Slide 36
Collaborative Tagging and Folksonomies Collaborative tagging is
used to describe the process by which people create and share their
metadata tags Folksonomies refers to the actual output, or the tags
themselves.
Slide 37
Folksonomies Folksonomies (known also as social
classifications) are user created metadata. They are a grassroots
community classification of digital assets. The term folksonomy was
created by Thomas Vander Val and represents a merging of the terms
folk and taxonomy. One form of explicit user created metadata was
popularized in the late 1990s with link-focused websites called
weblogs
Slide 38
Where are folksonomies found? Folksonomies are found in social
bookmarks managers such as Del.icio.us (http://del.icio.us/) and
Furl (http://www.furl.net/), which allow users
to:http://del.icio.us/http://www.furl.net/ Add bookmarks of sites
they like to their personal collections of links Organize and
categorize these sites by adding their own terms, or tags Share
this collection with other people with the same interests. The tags
are used to collocate bookmarks: (a) within a users collection; and
(b) across the entire system, e.g., the page
http://del.icio.us/tag/blogging will show all bookmarks that are
tagged with blogging by any user.http://del.icio.us/tag/blogging
There are no clearly defined relations between and among the terms
in the vocabulary, unlike formal taxonomies and classification
schemes
Web Mashups Mashup is a Web page or application that uses and
combines data, presentation or functionality from two or more
sources to create new services.
Slide 42
Web Tools for Mashups
Slide 43
An example (eStorys)
Slide 44
Tools for Mashups Different tools to create mashups Yahoo Pipes
Microsoft PopFly Google Mashups (deprecated from January 2009)
Marmite Karma IBMs QEDWiki JackBe Dojo
Slide 45
Conclusions Digital Living is for people not for Users
Ubiquitous Tangible Integration New models for design and
participation Tools for end-users development Web 3.0 vs Web
2.0
