Checks the response on tweets
Uses this response to better engage with
Based On Twitter
Whenever we tweet on twitter its always good to
have an idea of the impact that tweet had and also
the activity around that tweet so as to better engage
with interested audience.
Because, people like to know their influence in social
media, which will help them to plan their strategies
in case of brands and help people to focus more on
Martha tweets about the cooking very
• If she has a new recipe for a dish and she
tweets about it.
• She wants to know response(RT,reply,favorite)
on that tweet.
• So as to better engage with people who are
more interested in her recipes.
• Doing so its more likely that interested
people may come up with suggestions and
Rts eventually leading to wider reach.
Impact of promoter
Very recently chennai express was
released and there was a lot of activities
around the #chennaiexp and @iamsrk.
Now if we plan to tweet about the movie.
Mentioning @iamsrk increases the
possibility of that tweet being retweeted by
@iamsrk. Thus increasing the reach of
• Normally people don't know who his
promoter would be, while tweeting related
to a particular topic.
• Twitance will help them get to a decision
Let's suppose someone wants to survey
about the rape-cases in India . And he
tweets about it.
Then on the basis of tweet's impact in India
.We can give him the best person who can
help him out when he comes to India.
Similar Apps which we found During over research
• Processes your tweets and looks for audience and
possible reach , mentions the list of contributors
• Measures the size of your social media network.
• Provides influential score on the basis of popularity
• Offers Trends on Twitter on the basis of
keywords and hash tag.
• Keeps track of popular URLs on twitter.
• Works similar to Digg.
With Twitance our main aim is to finally be able to show a
list of twitter users to the authorized user as
recommendations and analytics of a particular tweet.
Thus based on the analysis, twitter user can get a fair idea
of their reach through tweets.
Our Main idea has these many components:• Two lists of recommendations for a particular tweet:
• First a Graph(a pictorial representation) that
will show the reach and chains as shown in
the picture below.
• So the basic idea is all the shares from
Gautam’s tweet will lie in his circle and add to
his contribution in the publicity of this post.
2. Reach over time
In this reach over time is shown this means which
users contributed to the post over time and their
influence.Important contributors are highlighted.
3. Influencers and other stats
This shows the list of people that influenced
the post most this required some math.
Gender and Location wise stats will also be
• Ruby On Rails:
Open source web application frame
Model view controller design principles
Active Record Pattern
Encourages developers to use restful routes
Availability of numerous gems(libraries) makes your
• Mongo DB:
Cross platform document oriented database
No SQL (scheme-less)
Supports restful operations (CRUD)
Favors JSON like documents with dynamic
• Elastic Search [Analyzers + Efficient Searching ]
Wrapper on Lucene project.
Open source , distributed server side search
Consists various analyzers like Snowball
Provides an approximate result if actual result
• Twitter API :
Provides JSON type API.
Provides services strictly to the authorized
Provides all public data related to twitter
users which includes
Followers, Friends, Tweets and public info of
Search Rate limit : 180/user/15 min window
User Rate limit : 15/user/15 min window
IEEE PAPER :Credibility in Context: An Analysis of Feature Distributions in Twitter
John O’Donovan, Byungkyu Kang, Greg Meyer, Tobias Hollerer University of
California,Santa Barbara, USA
Made By :Rohit Khatana