Candy Score

Ranking user of social media platforms in India

Rituparna Sarkar

Final Formula

• 2nd Last step User Score= (1*Facebook Score) + (0.75*Google+ Score) + (0.5*Twitter Score) + (0.25*LinkedIn Score)• Last stepAll user score will be brought down to 0-99 scale by using percentile method. So the user with highest score will have 99 iCandy score.

General Approach• Reach has been calculated based on number of my

followers and average number of 2nd followers• A log values is taken from the average number of 2nd level

followers.• Inactive accounts and listeners are removed but listeners

are added as whole number to the final reach value .• Power of activity is calculated based on total activity

performed by self and the ratio of (total activity performed by others favoring self)/(total activity performed by others)

General Assumptions

• All analysis is done for Indian user only• Types of activities have been restricted to one

given in the problem• For each platform, reach has been restricted to

2nd level of followers• All calculations consider public posts and

activities.• Certain weights to activities have been given

based on guess work

Reach Calculation

• Reach = (Connections)^(Log10(Average number of 2nd level connections)) + Listeners

• Connections = Total Connections – (Inactive + Listeners)• Total Connection: All accounts that follow me and who

get my activity news via pushed notification/new feeds• Inactive: All accounts with no activities in last 3 months • Listeners: All account who follows me but never

perform any action

Platform-wise assumptions for Reach

• Facebook: All friends are followers and get notification + Independent followers

• Twitter: All followers(Doesn’t allow customization)

• LinkedIn: Connected associates + Independent Followers

• Google+: All followers get notification

FacebookActivity• My activity: total number of posts +

(0.5) Automatic post on profile change + (0.8) total no of wall post on other’s wall

• Followers activity 1: number of comments + (0.2) number of likes

• Followers activity 2: (0.3) number of wall post on my wall • Activity power = {My activity * (Average number of Followers activity 1 for

me/Average number of Followers activity 1)} + (Average number of Followers activity 2 for me/Average number of Followers activity 2)

• Net activity power = (1*Activity Power of last 24 hours) + (0.5*Activity Power of last week) + (0.25*Activity Power of last month) + (0.125*Activity Power of ever before)

Influence• Final Score = Reach*NetActivityPower

Google+Activity• My activity: total number of posts +

(0.5) Automatic post on profile change • Followers activity 1: (1.2* number of shares) + number of

comments + (0.2*number of likes)• Activity power = {My activity * (Average number of Followers

activity 1 for me/Average number of Followers activity 1)} • Net activity power = (1*Activity Power of last 24 hours) +

(0.5*Activity Power of last week) + (0.25*Activity Power of last month) + (0.125*Activity Power of ever before)

Influence• Final Score = Reach*NetActivityPower

TwitterActivity• My activity: (1*OriginalTweets) + (0.3*QuatedRT) + (0.2*AutoRT) • Followers activity 1: number of RTs• Followers activity 2: number of Mentions • Activity power = {My activity * (Average number of Followers activity

1 for me/Average number of Followers activity 1)} + (Average number of Followers activity 2 for me/Average number of Followers activity 2)

• Net activity power = (1*Activity Power of last 2 hours) + (0.5*Activity Power of last 24 hours) + (0.25*Activity Power of last 2 days) + (0.125*Activity Power of ever before)

Influence• Final Score = Reach*NetActivityPower

LinkedInActivity• My activity: total number of posts +

(0.5) Automatic post on profile change • Followers activity 1: number of comments + (0.5*number of likes)• Activity power = {My activity * (Average number of Followers

activity 1 for me/Average number of Followers activity 1)} • Net activity power = (1*Activity Power of last 2 days) +

(0.5*Activity Power of 2 week) + (0.25*Activity Power of last month) + (0.125*Activity Power of ever before)

Influence• Final Score = Reach*NetActivityPower

Normalizing each platform

• Each score for each platform is normalized using

• This will produce each score on scale on 0 -1. We then multiply by 100 and get all scores to a 0 – 100 scale.

• These scores will be plugged into the final score and then percentile method will rank the users.