Saturday, September 15, 2007

It's all about connections

The basic idea of social computing in my opinion is about connections. It's like all of us are connected one way or the other. It could be thru our school, our religion, our interests, our friends, our kin, etc.

And technology, particularly the internet made it possible to realize and make the most of these connections.

But even without the internet, I feel connected with our
Sofie.

Experiment no. 1: Six Degrees of Separation

Six Degrees of Separation is an old theory, studied and developed by Stanley Milgram. It basically anchors on the idea that an individual is just 5-6 persons (at an average) or inermediaries away from another individual who is connected or has connections to her or him.


The study groups will have to mimic this experiment. Given the lessons on social network theory by Charles Kadusin, the study groups will have to implement the experiment using the egocentric or socio-centric network system. The assumption is that the chances of achieving six degrees of separation may be convenient. But it does not conclude that there is an automatic connection. The intention of the experiment is to determine the types of connections and the number of ways the connections are established.

The experiment will require an approach proposal from the SGs. The approach may be picking random names in the university; centralizing the link to a popular personality like Mr. Rene Molano; tracing a family relative; finding a missing student, etc. The proposal is due on Sep. 18. Once approved, the SGs have one week to do the experiment. A video recording of the experiment is the next major requirement.

The experiment activities will have to be presented in video form on Oct. 2, class time. Video output should not exceed 8minutes.

Web References:

Small World Experiment - http://en.wikipedia.org/wiki/Small_world_phenomenonSix degrees of Kevin Bacon - http://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon
Six Degrees of Separation - http://www.sixdegrees.elysion.cz/english/small.php

About the Experiments

The class experiments are intended to allow the students learn, explore and understand better the nature of social computing. These class experiments will require students or SGs (study groups) to field or online testing, video shoot or create podcasts, conduct survey and other relevant tasks to generate credible results.

The experiments are also planned in a progressive manner to allow SGs to develop a good project at the end of the term.

Course Syllabus

1. COURSE DESCRIPTION

Course Code : SOCCOMP
Course Title : SOCIAL COMPUTING
Course Description
: Social computing is a growing field of study concerned with supporting, facilitating, understanding or even promoting various social behaviors through the use of web, social software or other technologies. Online engagements and interactions in wikis, blogs, online games, instant messaging systems, forums or other online communities are some of the topics for discussion. The course also teaches the basic make-up of social computing in terms of structure, media, technology and psychology.

Credit Units : 3
Pre-requisite : Usability Engineering
Co-requisite : Check your flowchart
Post-requisite : Check your flowchart
Department : Information Technology Department
SOCCOMP Blog : http://ideasonsocialcomputing.blogspot.com –this will be used for other extended recitation and discussions.


2. COURSE OBJECTIVES

The course intends to introduce social computing and push the students to migrate from being users of to idea producers or designers of social network software through:

a. learning the fundamental aspects of social computing;
b. analyzing and reviewing various social computing applications;
c. create a prototype of a social network software thru incremental accomplishments of experiments;
d. and acquire the knowledge and understanding of how social computing works.

3. COURSE OUTLINE

CONNECTIONS
 Introduction to Social Network Theory
 Types of Connections
 Propinquity, Homophily
 Distance between nodes
 Diads and mutuality
 Balance and triads
Experiment Number 1 – Six Degrees of Separation

 Social Attributes of Nodes and Networks
 Aspects of networks
 Social Circles
Experiment Number 2 – Comparative Review of Three (3) Existing Social Networks

Project Orientation

MEDIA USED
Language and Semiology/Semiotics
Language Analysis
Image analysis

Experiment Number 3 - Creating a Pattern of Social Circle/s
**Output of this experiment can be used as the final project once approved.

TECHNOLOGY
What is Web 2.0
Characteristics and practices in Web 2.0
Technologies used
PSYCHOLOGY
The Online Disinihibition effect

ISSUES IN SOCIAL COMPUTING
Project Presentation

4. REFERENCES

Kadushin, Charles. (Feb 17, 2004). Introduction to Social Network Theory. http://home.earthlink.net/~ckadushin/Texts/Basic%20Network%20Concepts.pdf
Morville, Peter. (Feb 21, 2002). Social Network Analysis. Semantic Studios. http://semanticstudios.com/publications/semantics/000006.php O’Reilly, Tim. (Sep 30, 2005). What is Web 2.0? O’Reilly Behind the Cover. http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html
Rayner, Philip et al. Media Studies: The Essential Resource. (2004). Routledge Taylor and Francis Group. London.
Suler, John. (Aug 4, 2004). The Online Disinhibition Effect. The Psychology of Cyberspace. http://www-usr.rider.edu/~suler/psycyber/disinhibit.html
Fei-Yue Wang, Kathleen M. Carley, Daniel Zeng, and Wenji Mao, "Social Computing: From Social Informatics to Social Intelligence," IEEE Intelligent Systems, vol. 22, no. 2, 2007, pp. 79-83. http://dsonline.computer.org/portal/site/dsonline/menuitem.9ed3d9924aeb0dcd82ccc6716bbe36ec/index.jsp?&pName=dso_level1&path=dsonline/2007/04&file=x2tac.xml&xsl=article.xsl&

5. INSTRUCTIONAL METHODOLOGIES
• Experiments as major course work
• Long exam to reinforce concepts to be used
• Use of short video, podcast and relationship simulation tool for presentations
• Lecture, group discussions, a lot of reading assignments

6. COURSE REQUIREMENTS and GRADING SYSTEM

Class Activities –
Group work, written assignments, short quizzes 20%
Class Participation 5%
Long Exam 15%
Group Experiments (15% each) 45%
Final Project 15%
TOTAL 100%


Passing Grade – 70%

Foreword

Social Computing is a new course in the IT Department of the College of Computer Studies of the De La Salle University. There are several ways in approaching this course. First is to learn the fundamental paradigm of how social computing came into being, understand the various ways social computing is experienced thru various social network applications. Second, it can be approached in an evaluative experience, allowing the students to study and test social computing sites,understand the impact of Web 2.0 in the new changes taking place in online social interactions.

Hopefully, the course will help the students acquire a broader perspective of social computing at the end of the course and not just regular subscribers or users of social computing internet sites.