Page 23 - Approved Social Media Framework and Guidelines
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in discovering conversations about project and organisations and can be used to proactively

               engage  with  stakeholders.  The  Social  Network  Analysis  (SNA)  Software  facilitates  both
               quantitative as well as qualitative analysis by mining the raw data and combining it with
               individual and socio matrix. While some SNA software also have the features that enable
               them to import and/or store databases from social network, others perform preferential
               analysis  to  predict  individual  level  or  network  outcome.  Many  social  media  monitoring
               platforms offer demographic information such as age and location. This information can be
               used to expand the reach of your platform by creating a geo-targeted campaign focused on
               areas that generate the most traffic to your social media site.


               Some considerations for Data Analysis include:

                   · Data Definition: Selection of platforms, pages and/or organizations

                   · Depth and detail of analysis on each page: Areas or sections of the page to analyze

                       (Wall, Discussion board, Pictures, etc.)


                   · Time-frame: Last one month etc.


                   · Criteria  for  determining  the  importance  of  the  pages:  notability,  popularity,
                       intentions/goals of pages, etc.

               Some of challenges encountered in analysis may be related to


                   · Overlapping  functions  of  posts: many  comments  and  responses  serve  multiple
                       purposes

                   · Difficulties in disentangling "push" messages from "pull" messages


                   · Inexhaustible range of topics that extend beyond your area of interest

                   · Unpredictable patterns of conversation and user exchange

               These challenges may be mitigated by taking the following steps:


                   · Limit Scope of Analysis: Making a small start and defining Top 5 or 10 metrics may
                       help organise the Data e.g. No. of mentions, No. of comments on specific posts, No.
                       of retweets, No. of likes or shares etc.
                   · Creation of Dashboard: There are many free tools available that can help create a

                       dashboard view of the data which can be pulled in through RSS feeds. This will help
                       keep tab on latest happenings


                   · Connect  with  responders:  It  is  a  good  idea  to  collate  information/link  to  profiles
                       about people who respond to queries or topics of your organisations interest, also
                       observe  their  preference  of  response  –  individual  mail,  wall  posting  etc.  Over  a
                       period of time this will help generate a broad profile of people who respond to your
                       efforts

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