Extracting Targeted Users from SNS using Data Mining Approach

IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 544
Extracting Targeted Users from SNS using Data Mining Approach
Ms. Shankari V. Gajul1
Prof. Dr. Raj B. Kulkarni2
1
P.G. Student 2
Associate Professor
1,2
Department of Computer Science & Engineering
1,2
Walchand Institute of Technology, Solapur, India
Abstract— In the recent year‟s development of Internet is
an increasingly important factor in today‟s lifestyle. As
online advertising budgets of marketers are growing every
year, internet advertising has developed in similar way. The
following types of online advertisement: banner
advertisement, pop-up advertisement, web advertising also
called. To deliver promotional marketing messages to
consumers, internet advertising can be used as internet
advertising is a type of marketing. Fast retrieval of the
relevant information from databases has always been a
significant issue. Data clustering is one of the chief
techniques among the numerous techniques developed for
this purpose. Social media is the collaborative tools used for
communication that helps the companies to gain the
potential users and makes them visible who have no
knowledge of their products. Companies can locate target
users by analysing their interests, in particular brand and for
this purpose social media advertising can be used. It will
lead to a systematic approach by developing a technique to
effectively improve the marketing plans. This can be
possible if we are using data mining clustering algorithm to
find out key users to rise up the marketing tactics in internet
advertisement. It describes the general working behaviour,
the methodologies followed by these approaches and the
parameters which affect the performance of these
algorithms. The main objective of this paper is to gather
more core concepts and techniques in the large subset of
cluster analysis.
Key words: Social network advertising, Facebook, Facebook
API, FCM Clustering algo
I. INTRODUCTION
The internet has substituted old media such as the radio,
television and the newspaper to certain extent, and thus has
turned out to be a major source of information consumption.
The main advantages of the Internet include its mass
availability and its almost instant access to current
information. [1] [2]
Internet is most popularly used for purchasing
products and services and for exploring data & information.
In addition, advertisers can rapidly profit for changing
advertising scripts from relatively low costs. This helps
them to segment their market in a better way. As Internet
advertising is growing rapidly, it is imperative to scrutinize
the factors that influence its effectiveness. [3]
Internet is world's most powerful media advertising
for two foremost reasons: First, nearly every home has con
Second, Internet has daily viewers that are larger than the
total of the whole historical audience of traditional media.
The prospect of reaching a target audience influences the
brand, encourages the efficiency of the website‟s sales, and
leads to convey the information to consumers. [4]
In recent years, a transformation in the relationship
between companies and customers has revealed. The
expansion of Web 2.0 and social network as (Facebook,
Twitter, You tube, etc) have had a marvellous impact on the
manner companies conduct marketing. [5],[16] The
customer has obtained more control over and through the
communication regarding the company and its products. The
customers and social networking is the mainstay of any
business. It represents a prospect to develop even closer and
more profitable relationships with customers. So the
company must respond to this change. In fact, companies
can achieve benefits through using social network in their
marketing: they can attain a better understanding of needs of
the customer and can develop better relationships with
customers. Companies ought to sketch their activities in
social networks for better control and measurement. This
will help companies to accomplish the measurable
commercial benefits. The proper behaviour can also alter the
way in how the companies consider their customers.
Companies can track their clients more easily, achieve their
requirements, and manage and evaluate their activities.
These all tasks can be done only when the coordination
between the social networking and marketing is effectively
achieved.
Social media have great impact on and vitally
altering the way we communicate, collaborate, and
consume. They represent one of the most transformative
impacts of information technology on business [6] as they
drastically change how consumers and firms interact.
Consumers spend an increasing amount of their
time online and consequently percentage of the adults using
social media significantly rises. Hence companies spend
increasing amount of their marketing budget towards online
and social media advertising. They also discover new ways
to set up strong connections with their customers into the
online world, and amplify their social connections.
Therefore, nowadays companies are competing gradually
more for consumers' attention and engagement with their
brand in the social media space. Content generation, nurture
of positive online word-of-mouth (WOM), and utilization of
social links among customers are some quintessential
effective means of non-paid advertising for companies to
spread their message in real time and generate leads
associated with key marketing objectives.
The usage of social/online media supports social
interactions and user contributions which subsequently lend
a hand in the online buying and selling of products and
services. Since 2007, many thousands of enterprises opened
pages or business accounts on Facebook, MySpace, Second
Life, LinkedIn, and other social networks, and hundreds of
companies created internal enterprise social networks. They
do it by collecting testimonials, product feedbacks and
reviews, and new product ideas, and by utilizing target
marketing new concepts (e.g., personalized event shopping).
As a result companies can increase their
understanding of the positive and negative dispositions of
customers to brands, products, and shopping experiences.
Companies can use social media to engage people in many

(IJSRD/Vol. 3/Issue 10/2015/115)
activities which help not only to create interactive win-win
relationship with customers, prospects, suppliers and
employees, but also to improve the internal operations of a
business.
Advertisers view social network services and
especially Facebook and Twitter as a primary source for
generating traffic which is sent from these sites to vendors‟
marketing Web pages.
A. The Internet Is Driving Social Media:
The major facilitator of social media is currently facebook
where millions of fans leveraging acebook‟s business pages
and accounts, some that has over 10 million fans each (e.g.,
Coca-Cola). Social media marketing is growing with the
growth of the Internet. The Internet is now a major
influential medium, (possible the major one) in our society
and according to many marketing gurus (e.g.,yug.com), it is
more powerful than television and print media. Furthermore,
people are spending more and more time on the Internet and
less in other media because the Internet in general and social
networks in particular, now allow you to do almost
everything you want online. Thus, businesses take their
content and messages to where people spend their time.
Social media advertising appeared to be a logical
and cost-effective choice. To capture individuals who were
digitally literate and interested in pursuing distance
education, as an online program recruiting a channel like a
social network site (SNS) would be an attractive way.
Additionally it was speculated that due to their acquaintance
with online interactions, this group would be keen to enquire
about the program and share information through an SNS.
At educational institutions across the country,
social media marketing is attaining position. It gives a
practical opportunity for marketing higher education
offerings. [7]. Targeted social media advertising is a
reasonable selection, as it has the capacity to reach an ever-
growing online market effortlessly compared to traditional
advertising mediums and financial outlay measures as
fractional.
B. Social Networking Sites - Brief Description:
Social networking sites are tools for building virtual
communities, or social networks, for individuals with
similar education, lifestyles, interests, or activities. Burke
(2006) defines social networking sites as a loose attachment
of people who intermingle through websites.
The majority social networking sites also offer
other means of online communications, such as email,
instant messaging, chat, blogs, discussion group, etc.
Dwyer, Hiltz, and Passerini (2007) advise that the
main inspiration for social networking is communication
and sustaining relationships.
Two main social networking sites are
MySpace.com and Facebook.com. According to QuantCast
(2009), MySpace.com is the tenth most visited site with
58M+ unique monthly U.S. visitors, whilst Facebook.com is
the third most visited site with 95M+ unique monthly U.S.
visitors. These sites have become synonymous with social
networking. They have founded solid user bases, and, in
turn, have created apprehensions regarding the user privacy
and protection. Additionally, social networking sites are
escalating themselves in new areas. For example, facebook
is pursuing a strategy to become an operating system for the
Internet (Shafer, 2008).
Facebook is still the number one communication
tool for engaging with students. Facebook is an extremely
good tool to choose to reach parents, alumni, staff, and
others. Some social media tools have built in analytics.
Facebook allows managers of pages to view recent
analytics. These include the number of posts/day, the reach,
number of engaged users, the number talking about the post,
and the virality. By means of Application Programming
Interface, facebook permits the users to create and distribute
different custom-made applications and features. These
features can be business-related ads, promotions, or coupons
.These features can also be non-business applications such
as games, quizzes, meetings, groups, fan clubs, etc.
C. Social Media Marketing Definition:
Fundamental information is necessary for the success of a
business. Popular and successful way to obtain information
is by Social marketing, [9] which products or services can
be of curiosity to customer is determined by marketing
process. Social networks assist in improving the marketing
to realize new insights about the brand. This offers novel
ways to execute the basic marketing programs, and new
methods to succeed in online discussions of important
business. So they can exercise these new opportunities. For
this they require the tools that their companies can supervise
and take part in conversations across the Internet effectively.
The aim is to tie the success of activities in social networks
with marketing programs and processes. [8], [15]
Social networking sites are the supply of infinite
clients and situations. The challenge is to control this
information in a suitable and meaningful manner for the
company. This brings real benefits for the company. For
core activities in marketing on the Internet, Social
networking is a proper framework. Social networks grant the
opportunity to converse with customers on a personal level,
which is generally difficult to achieve or unfeasible through
traditional channels. For traditional marketing, social
networking sites are not a substitute for marketing. It should
be treated as a supplementary path with exclusive
characteristics that can complement other marketing
activities. With this approach, we can increase the
effectiveness of each channel.
D. Social Media Marketing A New Form Of The
Communication:
Traditional media such as television, newspaper, radio and
magazine, are one way, static technologies. For instance, the
magazine publisher is a large organisation that distributed
expensive content to consumer, while advertisers pay for the
privilege of inserting their ads into the content.
For people who typically share a common interest
or activity, social networks can be used as immense devices.
And Social networks also endow with a variety of means to
interact the users with each other. And every person, who
wants to join a social networking site he must create his own
profile. This profile describes his interests, his need and his
wishes. Through the person‟s profile we can know his
friends (other users) who have similar interests by searching
the network, or inviting others to join. These networks offer
a unique opportunity for highly targeted marketing.

The use of social network can make a contribution
to the success of the company. The Internet based
applications have the advantage that they are actively
working with the customers and can get feedback directly
from there.
II. LITERATURE REVIEW
Google AdSense is the first major contextual advertising
program which allows website publishers to display relevant
Google ads on their web pages and earn money. It's also a
way for those publishers to provide the Google search
service on their websites and to share the revenue of
displaying Google ads on the search results pages. [17]
Search Advertising Using Web Relevance
Feedback Broder presented an improvement to
advertisement matching in search engine websites. The main
idea of this work is to use web search results as new features
which will be integrated with the search query keywords
which, in turn, will be used in selecting the suitable
advertisements that will be shown alongside the search
results. When a user enters his query, it will be first sent to
the web search engine, and then, the returned top-scoring
pages of the search engine results will be used to gather
additional knowledge about the query. To retrieve relevant
ads, the entire content of the ad is used. This work uses text
classification, made by human editors, in order to identify
commonalities between relevant but different vocabularies,
and builds a document centroid-based classifier that maps an
input fragment of text into a number of relevant query
classes. Furthermore, this approach uses a tool, called
Altavista's Prisma refinement tool, for phrase extraction.
This tool analyzes the fragment of text to identify named
entities and other stable phrases. [10], [14]
The proposed system is focused on following
important factors i.e. identifying the target users by
analyzing their interest, designing of market plan, and
building the categories of their interests. Categories have
been found based on their influence by using clustering
technique. Our study analyses the content of the posts
shared on a facebook brand page. We focus on identification
of the topics, referred to within the posts, categories of the
posts, as an indication of intention for participation and
emotions that people share through the posts.
The paper focuses on the analysis of the user posts
shared on a facebook brand page.
The facebook brand page targets the younger
customers with a social network marketing approach. In this
paper, we examine classification of posts with their
categories and sentiment shared on this brand page.
III. PROBLEM STATEMENT
For the long running business, a social media presence is
crucial. Social Media in marketing assists the companies to
grab the potential users. It furnishes the knowledge of
products of companies to the users and makes the users
noticeable to the companies. Thus Social Media in
marketing has developed as a substantial means of
communication. With the help of Social Media advertising,
companies can find out target end users by analysing their
interests, taste in particular brand or area. It will lead to a
systematic approach by developing a technique to
effectively improve the marketing plans. This can be
possible if we are using data mining clustering algorithm to
find out key users to rise up the marketing tactics in internet
advertisement.
IV. PROPOSED WORK
Social media is a means to find the users. Here we have
proposed an efficient design & a clustering technique to
boost up the internet advertising way towards identifying the
target users. [11], [12], [18], [19]
The steps are involved in applying clustering algorithm to
find the target users: [20], [21]
1) Preprocessing: Includes a set of data is provided to the
system.
2) Data Gathering: Includes Data extraction from
Facebook.
3) Tokenization: Is carried out by selecting the query
from Msg table and eliminate special and non-letter
characters.
4) Cleaning: Is done by removal of stop words.
5) Clustering: Includes Classification of Post Message
and Comment into different categories.
6) Discovering targeted users: Includes finding of
important users.
Facebook is an online Social Networking Service
allows users to create their own profile. Facebook have its
own database. Facebook have API (Application
Programming Interface) which means it is an intermediate
between facebook & programmer. That interface is called as
Graph API. The user who wants to access data of facebook
page which can be possible through Graph API4. [21], [22],
[23]
The dataset consists of posts from the facebook
brand page. The data collection is performed from the
official launch of the facebook page. Posts can be fetched
using a Facebook Graph API4. By the use of a uniform
representation of the objects in the graph, the Graph API
offers admittance to facebook social graph (e.g., people,
pages, etc.) and the connections between them. For proposed
system we have used the feed connection of the page object.
Feed connection represents a list of all Post objects
containing the post details, i.e. the message, post type, likes,
comments, time of creation, etc. The elements extracted
from the facebook Graph API were stored in a relational
database for further investigation.
As extracted information is goes for the filteration
process. Filteration includes tokenization & cleaning
functions. Filteration is based on the lists of stop words &
stemming words, these words are provided in the process of
filtering the contents of messages i.e. post messages. The
filteration process is done on the basis of posts i.e. (Likes,
Shares, and Comments).
By filteration process we can remove stop words &
convert stemmed word into stem word (root word) using
stemming technique. Due to this filteration process we get
the relevant data. On the basis of the relevant data we can
perform the clustering process. This process includes
functions of classification of post message into different
categories. In order to make efficient analysis of posts we
have collected a dataset of posts. Depending on the posts
called as buzzwords data is collected. Efficient information
retrieval can be used to retrieve dataset from posted walls by

users. Depending on the collected dataset clustering process
will categories those into different categories using keyword
based classifier. By using clustering process we can identify
the people who are interested in information related to a
particular category. This process involves extraction of users
who have liked or shared or commented the posts in that
category. Following figure shows the communication
diagram. The communication diagram is shows in fig.1.
Fig. 1: Communication Diagram
The system performs the preprocessing in three main steps:
1) Extraction of post messages that have been commented
on by customers;
2) Identifying likes, comments of each post reviews;
3) Find target user names as a result. These steps are
performed in multiple sub-steps.
Given the input as page URL & No. of posts, the
system first access the post reviews, after that extract the
post messages such as likes, comments of each post, and
extracted data is stored in a database. On the basis of post
messages filteration process performs tokenization &
cleaning function due to which we will get the relevant data.
Clustering process is performing on the basis of the relevant
data. This process includes functions of classification of post
messages into different categories. After this the next
process is to identifying the users who are interested in
information related to a particular category. This process
involves extraction of users who have liked or commented
on the post in the categories.
Following figure shows the system architecture.
The system architecture is shows in fig. 2
Fig. 2: System Architeture
The following points are included in extraction of data:
A. Facebook Developer
Facebook developer it is an Open Source for developers,
researchers. Facebook helps developers, especially those
who are new to programmatic advertising, start building on
the Ads API on the facebook platform. Facebook
Developers have their own Tools. These tools can use to
query, add and remove data. That tool is called „Graph API
Explorer‟. By using this tool user can get the facebook data.
[20]
B. Graph Api Explorer
Facebook's Graph API Explorer is to retrieve data from
Facebook pages. An "API Explorer" is an interface that
helps you craft a request URL. This URL is a like a
command line that tells Facebook to do something on your
behalf. i.e. a GET request to pull data from your Facebook
profile. The Graph API is the core of Facebook Platform,
enabling developers to read from and write data into
Facebook.
[21], [22], [24], [25], [26], [27].
C. Access Tokens
When someone connects with an app using facebook Login,
the app will be able to obtain an access token which
provides temporary, secure access to facebook APIs. An
access token is an opaque string that identifies a user, app,
or page and can be used by the app to make graph API calls.
[26] The fig.3 shows user access token & user ID.

D. Loading Graph Api Explorer
Allowing access to a facebook-owned app called Graph API
Explorer. Graph API Explorer is an app, which is run by FB,
and is stored on the FB servers, not your computer, so you
can access it anywhere you can log into facebook. [26]
E. Setting Up Graph Api Explorer
To successfully fetch posts, consider the followings: , [13],
[25].
Visit: http://www.facebook.com
http://developers.facebook.com/tools/explorer?&version=v1
.0
– If required, allow that app access to your facebook
information
– First log onto facebook & then go for the Tools - Graph
API Explorer of facebook developer
– Find the 'Get Access Token' button and click it
– For getting access token Click On “Get Access Token”
tab.
– In the panel that appears, click & tick all check boxes of
'Select Permissions', „User Data Permission‟, &
„Extended Permissions‟
– This extended permissions you may need for additional
features which allow to comment or like posts, as you
tell it to in the options menu. Without that flag checked,
you'll just get an error from facebook about your token
not having permission to do that. Be sure that
'read_stream' is selected or otherwise not blank
– If you need autolike/autocomment support, also select
'publish_actions' from the 'user data permissions' tab.
Click the 'Get Access Token' button & you will get
“Access Token” in access token tab.
– Now find the box that says 'Access Token' and select its
value Copy that value and paste it into the box on this
prompt.
– This shows the information on the response panel.
– Note: this token does not last forever; you may need to
repeat this process.
F. Restfb
RestFB is a pure Java Facebook Graph API which is sent
data to and from Facebook. RestFB is a single JAR - just
drop it into your app and you're ready to go.
RestFB is a simple and flexible Facebook Graph
API and Old REST API client written in Java. It is open
source software. RestFB is a single JAR - just drop it into
your app and you're ready to go. [13]
Fig. 3: User Access Token & User ID
V. OBJECTIVES & SCOPE
The objective of the system is to find out the key users
through social media.
The Scope of this project is to analyze and predict
user‟s behaviour over a period of time based on his
historical actions and their personal information and to
target advertisements based on this analysis.
It will allow the advertiser to select only those
users who meet certain profitability criteria based on their
individual needs and design marketing tactics for them using
internet advertisement.
Marketers can understand how to reach consumers
through improved behavioural targeting, media buying and
planning.
VI. EXPERIMENTAL ANALYSIS
A. Input :
1) Page Url
Enter the page URL of a particular object for fetch page
data.
A page URL is a string which is used to access facebook
pages; which is existed on the web link.
2) Post (No. Of Posts)
Enter the no. of posts for a page URL of a particular object.
Posts are a simple way to put public posts by a Page or a
person on facebook into the content of your web page. The
post will show any media attached to it, as well as the
number of likes, shares, and comments that the post has.
Posts will let people see the information that on
Facebook.com, and they will enable people to follow or like
content authors or Pages.
B. Equations :
The following equations are used to find out the word
frequency:
1) Occurences
= WC/TC *10000
Where, WC-Word Count
TC- Total no. of words in a message
2) Word Frequency For Posts:
n
f(Wi)Post
i=0
Where, n= Total no. of stemmed words in Posts
f(Wi)=Word Count Frequency
3) Word Frequency For Comments:
m
f(Wi)Comment
i=0
Where, m=Total no. of stemmed words in Comments
f(Wi)=Word Count Frequency
Total words= n+m i.e. TC
Total count= f(Wi) i.e. WC
C. Output
We will get the output as in the form of Buzzwords, Weight
and Usernames as shown in fig.4.
1) Buzzwords- Very popular words which are related to
posts categories.
2) Weight- Word count frequency

3) Usernames- Names of targeted users which are
separated by „#‟ symbol.
Fig. 4: Fetch Page Data
No. Of posts Buzzwords
No. of
targeted users
3 66 102
6 89 158
8 103 199
12 138 213
15 208 285
20 267 289
22 275 345
25 310 392
28 345 411
32 381 477
Table I. The no. of posts with their counted no. of
buzzwords & no. of users.
Fig. 5: Graph shows the implementation of above table.
From this statistics we can say that as the number of post
increases, the proportion of getting number of buzzwords
and number of targeted users are also gets increased. Hence
we can say that the big historical data for mining give better
results.
VII. CONCLUSION
Now a day, social media has become a new marketing tool,
from the perspective of e- marketing, e-advertisement and
product development. Social media delivers market
intelligence. So that more than 60% of marketers can use
social media to attract users and to learn about what the
current market trends and demands.
The proposed system is to find out the target users by
analysing their interests, needs and taste in particular brand
or area. And produce the categories of their interests by
tracking their activities in social networking site.
VIII. FUTURE WORK
A Page URL is to fetch the page data. Businesses, brands or
other organizations can built their own app & that
businesses use to exploit facebook‟s marketing possibilities
is by creating a “page” for their business which facebook
users can follow.
Businesses can then use their page to market their
products, offer deals, and build their brand. Facebook
developers can use to help their users connect and share
with such users' and increase engagement for their website
or application.
This will helpful for the mobile companies to fetch
the data not only for particular page URL but also all types
of mobile pages because of this we will get accurate or
generalized data.
REFERENCES
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