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WHO IS THE RIGHT
INFLUENCER ?
SOCIAL NETWORK
ANALYSIS
Group 8
Aditya Bora 36BM06
Mehul Daftatri 36BM23
Data Driven Marketing
GAMING INFLUENCERS
Build
community in
space
Multi Role
Playing Game
In Game
Purchases
Mature Conte
communities
watch
connect favourite
creators.
Channels Gameplay
Chat box
real-time interaction
A sense of Belonging
hosting, raids, and
collaboration features.
WHAT MAKES
TWITCH
DIFFERENT?
Big Data Library
Archives
Well Connected
Highly Viewed
No Social
Back-clash
Relatable
Content
THE RIGHT INFLUENCER
No. Of Views
No. of Days Active
Mature Content
Affiliate Program
7126
Influencers
55%
45%
MATURE CONTENT
Mature Content No Mature Content
3%
97%
AFFILIATION
Affiliates Non Affiliates
10K
2.7 MILL
17K
8K
35MIL
2 MILL
MIN
MAX
AVG
Viewership
AFFILIATE NON AFFILIATE
133
4049
1513
288
3820
1912
0 500 1000 1500 2000 2500 3000 3500 4000 4500
MIN
MAX
AVG
Days Active
AFFILIATE NON AFFILIATE
ARE NON AFFILIATES NOT GOOD ENOUGH?
• Mature content-
APPRX 50 %
• Affiliated – Very Few
• Non Affiliates- Cannot
be ignored
• Average Active Days –
Uniform across data
set
VS
INTRO TO
SOCIAL
NETWORK
ANALYSIS
Methodological
Approach
Study Social
Networks
Relation between
Actors
how interactions between actors influence behaviors, outcomes,
and the overall dynamics of the network
How Does the Network Look?
• Highly Dense
• High Intensity Connections &
Relations
• Countless Interactions
Mapping High Density Nodes
Interactions between 7120 influencers
• 7120 nodes
• Edges – line of relations
• High density Nodes have more
edges incoming & outgoing
What do we See ?
Degree Centrality
Betweeness Centrality
Prominent Influencers:
3401
2447
2732
Prominent Influencers:
3401 2447
4196 4016
1103
Eigen Vector Centrality Closeness Centrality
Prominent Influencers:
5269 3401
4196 1059
6931
Prominent Influencers:
5448 6280
5913 5900
Cluster Coefficient
Prominent Influencers:
1671 2671
1449 5160
Degree Centrality
Betweenness Centrality
Eigen-vector Centrality
Closeness Centrality
Cluster Coefficient
40%
20%
30%
0%
10%
WHAT SNA FACTORS ARE
IMPORTANT ?
Id channel_id Degree betweenesscentralityeigencentrality clustering
5043 19623411 0.08 0.01 0.13 0.05
2447 497952 0.58 0.49 0.20 0.02
4016 30281925 0.48 0.27 0.10 0.02
1598 49303276 0.36 0.11 0.04 0.01
3401 15310631 1.00 1.00 0.66 0.01
5389 36483360 0.14 0.03 0.19 0.00
1103 37522020 0.55 0.13 0.06 0.01
5269 38779717 0.31 0.06 1.00 0.02
5268 47198196 0.05 0.01 0.20 0.15
1082 36957278 0.05 0.00 0.05 0.01
4140 26551727 0.19 0.07 0.13 0.01
6280 38746317 0.08 0.01 0.15 0.01
Degree 0.4
betweenesscentrality 0.2
eigencentrality 0.3
clustering 0.1
Id channel_id Degree betweenesscentrality
eigencentrality
clustering sum Rank
3401 15310631 0.4000 0.2000 0.1988 0.0008 0.7996 1
4196 68707904 0.1983 0.0832 0.1759 0.0029 0.4603 2
5269 38779717 0.1259 0.0113 0.3000 0.0024 0.4395 3
2732 35838240 0.2388 0.0963 0.0816 0.0013 0.4180 4
2447 497952 0.2336 0.0974 0.0605 0.0019 0.3935 5
1059 35911424 0.1034 0.0103 0.1952 0.0040 0.3129 6
4016 30281925 0.1940 0.0541 0.0293 0.0016 0.2789 7
1103 37522020 0.2181 0.0267 0.0189 0.0009 0.2646 8
3902 19309473 0.1250 0.0341 0.0935 0.0011 0.2536 9
5138 76852916 0.0707 0.0170 0.1578 0.0043 0.2498 10
6357 70890562 0.0836 0.0194 0.1400 0.0040 0.2471 11
5802 36497605 0.0698 0.0105 0.1594 0.0064 0.2461 12
RANKING THE
INFLUENCERS
rank views Id Degree betweenesscentrality
eigencentrality clustering
1 20253246 3401 NA
2 717298 4196 NA
3 16346337 5269 NA
4 3733303 2732 NA
5 32861608 2447 NA
6 1358904 1059 NA
7 30977250 4016 NA
Influencer No
3401
Influencer No
5269
Influencer No
4196
NICHE ALINGMENT
CONTENT QUALITY
CAMPAIGN DURATION
ENGAGEMENT RATE
Increasing
ROI
PANDA TV
LIINDSAY
JANE
GREEKGODX
THANK YOU

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Influencer Marketing: How to choose The Right Influencer?

  • 1. WHO IS THE RIGHT INFLUENCER ? SOCIAL NETWORK ANALYSIS Group 8 Aditya Bora 36BM06 Mehul Daftatri 36BM23 Data Driven Marketing
  • 3. Build community in space Multi Role Playing Game In Game Purchases Mature Conte
  • 6. real-time interaction A sense of Belonging hosting, raids, and collaboration features. WHAT MAKES TWITCH DIFFERENT? Big Data Library Archives
  • 7. Well Connected Highly Viewed No Social Back-clash Relatable Content THE RIGHT INFLUENCER
  • 8. No. Of Views No. of Days Active Mature Content Affiliate Program 7126 Influencers
  • 9. 55% 45% MATURE CONTENT Mature Content No Mature Content 3% 97% AFFILIATION Affiliates Non Affiliates 10K 2.7 MILL 17K 8K 35MIL 2 MILL MIN MAX AVG Viewership AFFILIATE NON AFFILIATE 133 4049 1513 288 3820 1912 0 500 1000 1500 2000 2500 3000 3500 4000 4500 MIN MAX AVG Days Active AFFILIATE NON AFFILIATE ARE NON AFFILIATES NOT GOOD ENOUGH? • Mature content- APPRX 50 % • Affiliated – Very Few • Non Affiliates- Cannot be ignored • Average Active Days – Uniform across data set
  • 11. Methodological Approach Study Social Networks Relation between Actors how interactions between actors influence behaviors, outcomes, and the overall dynamics of the network
  • 12.
  • 13. How Does the Network Look? • Highly Dense • High Intensity Connections & Relations • Countless Interactions Mapping High Density Nodes Interactions between 7120 influencers • 7120 nodes • Edges – line of relations • High density Nodes have more edges incoming & outgoing What do we See ?
  • 14. Degree Centrality Betweeness Centrality Prominent Influencers: 3401 2447 2732 Prominent Influencers: 3401 2447 4196 4016 1103
  • 15. Eigen Vector Centrality Closeness Centrality Prominent Influencers: 5269 3401 4196 1059 6931 Prominent Influencers: 5448 6280 5913 5900 Cluster Coefficient Prominent Influencers: 1671 2671 1449 5160
  • 16. Degree Centrality Betweenness Centrality Eigen-vector Centrality Closeness Centrality Cluster Coefficient 40% 20% 30% 0% 10% WHAT SNA FACTORS ARE IMPORTANT ?
  • 17. Id channel_id Degree betweenesscentralityeigencentrality clustering 5043 19623411 0.08 0.01 0.13 0.05 2447 497952 0.58 0.49 0.20 0.02 4016 30281925 0.48 0.27 0.10 0.02 1598 49303276 0.36 0.11 0.04 0.01 3401 15310631 1.00 1.00 0.66 0.01 5389 36483360 0.14 0.03 0.19 0.00 1103 37522020 0.55 0.13 0.06 0.01 5269 38779717 0.31 0.06 1.00 0.02 5268 47198196 0.05 0.01 0.20 0.15 1082 36957278 0.05 0.00 0.05 0.01 4140 26551727 0.19 0.07 0.13 0.01 6280 38746317 0.08 0.01 0.15 0.01 Degree 0.4 betweenesscentrality 0.2 eigencentrality 0.3 clustering 0.1 Id channel_id Degree betweenesscentrality eigencentrality clustering sum Rank 3401 15310631 0.4000 0.2000 0.1988 0.0008 0.7996 1 4196 68707904 0.1983 0.0832 0.1759 0.0029 0.4603 2 5269 38779717 0.1259 0.0113 0.3000 0.0024 0.4395 3 2732 35838240 0.2388 0.0963 0.0816 0.0013 0.4180 4 2447 497952 0.2336 0.0974 0.0605 0.0019 0.3935 5 1059 35911424 0.1034 0.0103 0.1952 0.0040 0.3129 6 4016 30281925 0.1940 0.0541 0.0293 0.0016 0.2789 7 1103 37522020 0.2181 0.0267 0.0189 0.0009 0.2646 8 3902 19309473 0.1250 0.0341 0.0935 0.0011 0.2536 9 5138 76852916 0.0707 0.0170 0.1578 0.0043 0.2498 10 6357 70890562 0.0836 0.0194 0.1400 0.0040 0.2471 11 5802 36497605 0.0698 0.0105 0.1594 0.0064 0.2461 12 RANKING THE INFLUENCERS
  • 18. rank views Id Degree betweenesscentrality eigencentrality clustering 1 20253246 3401 NA 2 717298 4196 NA 3 16346337 5269 NA 4 3733303 2732 NA 5 32861608 2447 NA 6 1358904 1059 NA 7 30977250 4016 NA Influencer No 3401 Influencer No 5269 Influencer No 4196
  • 19. NICHE ALINGMENT CONTENT QUALITY CAMPAIGN DURATION ENGAGEMENT RATE Increasing ROI