Twist is an Open World Information Sharing Network which provides a platform to the users searching information on the same project that directly publishes the new updates for a desired category or group of categories to the people who had enrolled as that category for their Personal interest.

1. “Twist”- An Open World Information Sharing
Network
Mayur Ahir, Harsh Gadhia, Jatin Patel
Students, Final Year, Information Technology, K. J. Somaiya Institute of Engineering & Information Technology
mayur@mayurahir.com
gadhiaharsh@yahoo.co.in
jatinhpatel@yahoo.co.in
I.
Detailed Statement of Problem
Today we have immense amount of knowledge present of
various Knowledge Portals either on a specific field e.g.
Cisco.com or in form of collection of categories e.g.
Technorati.com
We also, have many platforms which support the Social
Networking and allow a large amount of people to come
together e.g. Facebook.com, Orkut.com.
But the major problem is that, the Knowledge Portals can
provide information to an individual but there is no facility to
know other people or the group of peoples who are looking for
same information although this can be very useful in order to
increase the knowledge. Total opposite problem is faced by
Social Networking Platforms where people can know each other
but cannot share their knowledge.
People researching on a common field of interest search for the
latest updates on various sites, these might be based on their
preference or likes. These websites can be either a Knowledge
Portal or Forums which provides recent updates.
There might be situation under which different people working
on same project or a same field visits these sites irrespective of
each other. Similarly a user searching for information may find
visiting and searching on various sites irritating and time
consusming. Likewise many users searching for same
information on web and exploring the search engines leads to
waste of resources and time.
II.
Introduction
Twist is an Open World Information Sharing Network
which provides a platform to the users searching information on
the same project that directly publishes the new updates for a
desired category or group of categories to the people who had
enrolled as that category for their Personal interest.
It also asks the users to make friends on the web searching
for the same articles by selecting the interested categories; the
application provides the user with the latest updates from the
various sites. If the user needs more information then user will
be redirected to the sites providing latest news and updates.
Here the basic aim of Twist which is “Instead users searches
information, information searches users” Is defined.
Till now we have seen use of the Cloud computing only in
very large Systems which are not available for general public.
But use of same for Twist as a Backbone enables to tracks the
user’s location and hence routes the user’s request to the
geographically nearest available Server. This will also help to
publish the local information based on users’ location.
“Twist is not a social networking platform but it is being
developed for collaborating and searching knowledge on the
web.”
Information will be categorized on the basis of following criteria

2. Training in:
•
•
•
2.
Software & Hardware,
Communication skills,
Placements, etc.
From Users reading articles to Activity Tracing
Database.
Researches in:
•
•
•
•
Touch screens,
Media,
Networks,
Multimedia, etc.
Technologies in:
•
•
•
IT,
Gadgets,
Embedded systems, etc.
III.
Architecture
A. Data Flow Diagrams :
1. From External sites to our Database using Standard
XML and RSS.

DFD:
Fig. 3 : Data Flow Diagram
B. Control Flow Diagrams
1.
2.
3.
Fig. 1 Data Flow Diagram

4.
Level 1 DFD.
5.
Fig. 2 : Level 1 Data Flow Diagram
When user registers selects Interested Categories
and according to these articles are shown.
Next time onwards when user visits, show latest
updates on selected categories.
If user selects to Twist the article / category than
update the Activity Tracker also for an individual
article.
Depending upon the articles read by users; suggest
“Indirect Buddies” (i.e. those who shares common
interests e.g. Research Groups).
There is also an additional feature which allows
making of “Direct Buddies” (i.e. which are known
directly e.g. College Friends).

3. 3.
Fig. 3 : Control Flow Diagram
IV.
Front End :
 PHP + jQuery
Front End and Back End
Best Open Source Programming Language for developing
Dynamic Applications. Has very good online community
support. It also allows development of applications with object
oriented concepts.
jQuery is JavaScript based API which allows to develop
AJAX integration with any programming language used to
provide a good OOUI and enables client site computations.
4.
Back End :
MySQL
One of the most popular Open Source SQL platforms for
developing large scale databases. It has also got huge amount of
online support.

University of Illinois (UIUC), Karlsruhe Institute of
Technology, the Info-comm Development Authority (IDA)
of Singapore, the Electronics and Telecommunications
Research Institute (ETRI) in Korea, the Malaysian Institute
for Microelectronic Systems (MIMOS), and the Institute for
System Programming at the Russian Academy of Sciences
(ISPRAS).
Facebook was launched in February 2004 by Harvard
undergrad students as an alternative to the traditional
student directory. Its popularity quickly spread to other
colleges in the US by word of mouth, and the site now
registers close to 15M monthly UVs and over 6B page
views per month. Facebook has completed two rounds of
venture financing at very high valuations, the first at a
valuation of ~$100M and the second at ~$550M (valuations
are unconfirmed). These valuations were driven by the
multiple acquisition offers that Facebook has reportedly
turned down (the latest was a rumored $750M offer).
Facebook is already generating significant revenue, so
despite all the valuation and web traffic metric hype, it has
also established a very real business. Knowledge Portals
like CNet.com, technorati.com, tech2.com provides useful
content but not sharing.
Facebook had its initial success with college students by
providing an information service that was not available
offline – an interactive student directory containing each
student’s class schedule and social network. Before
Facebook added the feature sets it has today, it was simply a
more complete student directory. Facebook did not create a
community where one never existed before; rather they
provided an important information and communication
service to a per-existing offline community.
VI.
V.
Literature Survey
1.
1. Recent research has shown as much as 85% to 90% of
2.
internal IT organizations are moving or have already moved
to a service-centric model for delivering IT value. Rather
than focusing on infrastructure components like servers and
storage, IT organizations today are concentrating on
end-to-end services including email and order management.
In July 2008, HP, Intel Corporation and Yahoo! announced
the creation of a global, multi-data center, open source test
bed, called Open Cirrus, designed to encourage research
into all aspects of cloud computing, service and data center
management. Open Cirrus partners include the NSF, the
2.
3.
IEEE Research Papers
“Rich Media and Web 2.0”, Edward Chang, Ken Ong,
Susanne Boll, Wei-Ying Ma, Proc. 17th International
Conference on World Wide Web, 2008, pp. 1259-1259.
“Extracting knowledge from the World Wide Web”, Monika
Henzinger, Steve Lawrence, Mapping Knowledge Domains,
2003.
“Collaborative Filtering for Orkut Communities: Discovery
of User Latent Behavior”, Wen-Yen Chen, Jon Chu, Junyi
Luan, Hongjie Bai, Edward Chang, 18th International
Conference on World Wide Web (WWW), 2009, pp.
681-690.

4. 4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
“A social network caught in the Web”, Lada A. Adamic,
Orkut Buyukkokten, Eytan Adar, First Monday, vol. 8
(2003).
“Personalized News Recommendation Based on Click
Behavior”, Jiahui Liu, Elin Pedersen, Peter Dolan, 2010
International Conference on Intelligent User Interfaces.
“How opinions are received by online communities: A case
study on Amazon.com helpfulness votes”, Cristian
Danescu-Niculescu-Mizil,
Gueorgi
Kossinets,
Jon
Kleinberg, Lillian Lee, Proceedings of the 18th
International Conference on World Wide Web, WWW 2009,
Madrid, Spain, April 20-24, 2009, pp. 141-150.
“Information extraction meets relation databases”, Davood
Rafiei, Andrei Broder, Edward Chang, Patrick Pantel,
CIKM '09: Proceeding of the 18th ACM conference on
Information and knowledge management, 2009, pp.
897-897.
“Information arbitrage across multi-lingual Wikipedia”,
Eytan Adar, Michael Skinner, Daniel S. Weld, WSDM '09:
Proceedings of the Second ACM International Conference
on Web Search and Data Mining, 2009, pp. 94-103.
“Current trends in the integration of searching and
browsing”, Andrei Z. Broder, Yoelle S. Maarek, Krishna
Bharat, Susan T. Dumais, Steve Papa, Jan O. Pedersen,
Prabhakar Raghavan, WWW (Special interest tracks and
posters), 2005, pp. 793.
“Privacy-preserving indexing of documents on the
network”, Mayank Bawa, Roberto J. Bayardo, Rakesh
Agrawal, Jaideep Vaidya, The VLDB Journal, vol. 18
(2009), pp. 837-856.
“Lightweight
Feedback-Directed
Cross-Module
Optimization”, Xinliang David Li, Raksit Ashok, Robert
Hundt, Proceedings of International Symposium on Code
Generation and Optimization (CGO), 2010.
“Parallel algorithms for mining large-scale rich-media
data”, Edward Y. Chang, Hongjie Bai, Kaihua Zhu, MM
'09: Proceedings of the seventeen ACM international
conference on Multimedia, 2009, pp. 917-918.
“The Space Complexity of Processing XML Twig Queries
over Indexed Documents”, Mirit Shalem, Ziv Bar-Yossef,
Proceedings of the 24th International Conference on Data
Engineering (ICDE), 2008, pp. 824-832.
VII.
1.
2.
Algorithms Used
Unstructured Data Mining Algorithm.
Users Activity Tracking.
3.
Personalized user recommendations.
VIII.
Implementation Plan
1.
Using standard LAMP (Linux, Apache, MySQL, and PHP)
Stack.
2. With direct integration of any PHP Framework and
IDE(integrated development environment ).
3. Enabling User Side AJAX.
4. User Registration and Login using SSL.
IX.
Conclusions
By developing a new field known as Information
Networking we can derive following advantages of
Twist.
11 Reduces time and resources consumption.
11 Unstructured content from various sites is
formatted in standard structure and categories.
11 Aggregation of information from various websites
and users searching same information.
11 Easy to use since two most famous triads of web
viz. Information Portals and Social Networking are
submerged.
11 Cloud computing based.
11 Use of Open sourced software APIs.
11 People working on the same projects can mutually
share data which is automatically facilitated by
Twist.