privacy and security implications of facebook groups

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1Please specify how accessible or public you thought this information was.

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7Do you think this would be a problem were a parent or relative to see this information?

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8 Does this highlight a privacy concern in your opinion? 3 4 4 4 2

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10 Will you try and be more careful about your online profile hereon? 2 3 1 4 1

The IIITD Compliments Page | PSOSM | Aditya Gupta and Akanksha Singh

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NUMBER OF LIKES (EXACT)

# of Likes per comment

Posts on IIITD Comp: TotalComments: Total (1082 liked)Likes: Total (7400 on comments)People: Total (tagged 324 posts)

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Above Graphs:Entire Network coloured on Eigenvector Importance - with IIITD Network on IIITD Compliments

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[ Hidden for your Privacy ]

# of

Conversations

Shared

Average # of

People shared

with (of 800)1 8.9325

2 2.01

3 0.795

4 0.41

5 0.2075

Hour of Day 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23Monday 1 3 8 8 4 8 2 2 7 3 24 48 26 33 87 34 46 25 7 1 0 0 0 0Tuesday 1 1 1 1 3 8 8 4 3 1 9 8 12 12 6 7 28 28 21 5 8 4 3

Wednesday 1 1 3 1 1 3 2 0 2 17 2 3 7 2 7 7 53 72 86 138 47 15 0 3Thursday 4 1 4 7 13 11 18 10 9 4 18 42 97 69 39 62 47 41 117 122 41 9 8 4Friday 2 1 3 2 6 8 23 8 8 11 9 1 14 6 19 16 66 60 43 316 207 28 5 2Saturday 1 1 1 7 15 15 37 23 25 22 38 41 36 30 54 47 30 51 62 29 7 5 2 6Sunday 0 1 0 4 4 5 7 5 5 10 15 23 62 59 56 42 87 158 86 28 9 15 4 3

Scoring Metric:Directed +1 per like, Undirected +4(3) per comment conversation -with past work suggesting 4/1 marketing rate of comments/likes

Below:

In order, top likers, top liked, most “popular”, least “popular”, toprelationships, and top one-sided relationships – withat least 10 likes in or out (unless specified)

Person Likes Received

Akshit Nanda 264

Prakhar Gupta 206

Lakshay Pandey 157

Sumit AggerWal 142

Arjun Ahuja 139

Person Likes committed

Jahnavi Kalyani 153

Arjun Ahuja 146

Sakshi Saini 137

Tuhi Nanshu 136

Purujit Negi 136

Most Popular ScoreManeet Singh 0.95

Sanchit Sharma 0.944444

Tushar Gupta 0.928571

Ankit Agarwal 0.928571

Prateek Gaur 0.923077

Akanksha Cullen 0.923077

Abhi. Gautam 0.921053

Sanchit Garg 0.916667

Score Threshold

Relationships identified

Density

1 6359 0.009948

3 3719 0.005818

5 1249 0.001954

7 875 0.001369

9 539 0.000843

Relationship Score Person1 Person279.5 PrEeti Singh Khushboo Mandal62.5 Sakshi Saini Purujit Negi59.5 PrEeti Singh Jyoti Gangwar

57.25 Purujit Negi Akshit Nanda56.5 Utkarsha Bhardwaj Purujit Negi

55.25 Anish Kumar Akshit Nanda52 Purujit Negi Apoorv Saini

49.25 Priyanshi Mittal Mannika Solanki48.25 PrEeti Singh Kriti Pandey47.5 Tuhi Nanshu Akshit Nanda47 Utkarsha Bhardwaj Akshit Nanda

45.25 Surabhi Kabby Kabra Priyanshi Mittal45 Sumit AggerWal Purujit Negi

44.5 Kshitiz Bakshi Kirti Lamba42.5 Srishty Grover Priyanshi Mittal41 Srishty Grover Akshit Nanda41 Tanya Mishra Sakshi Saini

Ratio of

likes of

liker/liked

Total likes

between (filtered for 7+)

Liker Liked

1 14 Khushboo Mandal Kriti Pandey

1 11 Tanya Mishra Sakshi Saini

1 10 Inshu Kumar Chugh Prakhar Gupta

1 9 Tuhi Nanshu Lakshay Pandey

1 9 Jahnavi Kalyani Lakshay Pandey

1 8 Jahnavi Kalyani Prakhar Gupta

1 7 Tuhi Nanshu Anish Kumar

1 7 Sampoorna Biswas Akshit Nanda

1 7 Jahnavi Kalyani Sumit AggerWal

1 7 Divya Bansal Lakshay Pandey

1 7 Arjun Ahuja Sumit AggerWal

1 7 Apoorv Saini Sumit AggerWal

0.92 25 Tuhi Nanshu Akshit Nanda

0.866667 15 Purujit Negi Sumit AggerWal

PersonEigenvector

CentralityPurujit Negi 0.011791

Prakhar Gupta 0.010965

Nikhil Nagpal 0.010064

Arjun Ahuja 0.010064

Sakshi Saini 0.009914

Siddharth Gupta 0.008787

Srishty Grover 0.008487

Akshit Nanda 0.008487

Deepak Wali 0.008412

Utkarsh Bhardwaj 0.008412

Bijender Rai 0.008261

Amol Verma 0.008261

Shayan Lahiri 0.008036

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32

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256

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Likes in/Likes Out Correlation

Pearson’s Correlation: 0.65

Avg. of 4.10 likes per comment with likes Person

Hub or

ImportancePurujit Negi 0.011791

Prakhar Gupta 0.010965

Nikhil Nagpal 0.010064

Arjun Ahuja 0.010064

Sakshi Saini 0.009914

Siddharth Gupta 0.008787

Srishty Grover 0.008487

Akshit Nanda 0.008487

Deepak Wali 0.008412

Utkarsha Bhardwaj 0.008412

Bijender Rai 0.008261

Amol Verma 0.008261

Shayan Lahiri 0.008036

Clustered Groups (7 clusters)

“Importance”

Highest In-Between-ness (Occurrence in shortest paths)

Min-Hops to Farthest

Self-Likers # of Likes

Akshit Nanda 2

Aman Singhal 2

Anjali Ujjainia 4