“Loosing” Facebook Friends@danielequercia
<who am i>
daniele quercia
offline & online
social media   language        personality        social media
EmotionsTalk of the City
EmotionsTalk of the City
The Social World of Twitter [ICWSM’12]“Happy” (“sad”) users do cluster together
YOU      YOUR FRIENDS
EmotionsTalk of the City
Talk of the City [ICWSM’12]   social media   environment   sports   health         Royal wedding                  Spanish/...
TweetLDA:   Fast & Effective Topic Modeling
Goal: Predictors of   Unfriending
Word of the Year 2010
Surveys
“the act of unfriending acknowledges thatthe definition of friend is differentfrom the traditional”
Qualitative & Quantitative Studies
“the act of unfriending acknowledges thatthe definition of friend is differentfrom the traditional”
Quantitative study of 4 predictorsPersonalityGender in social circlesAge differenceCommon friends
Quantitative study of 4 predictors
Quantitative study of 4 predictors  > 34K Users  60% women  median age 23  median #friends 123
Personality
WEIRD trap!Few hundreds of WEIRDos(White,Educated,Industrialized,Rich, and Democratic)
o WEIRDos               iable, n    5 .5M, relDavid Stillwell & Michal Kosinski
Based on the two’s friend lists:   We know which ties are broken   NOT who “broke up” with whom
For each of the five traits:       A    min(traitA, traitB)                                  B            max(traitA, trai...
For min, max, and avg, results are consistent:Only Extraversion (-) & Neuroticism (+)(t-test, p<0.001)
Gender in triads
Fraction of broken ties ANY                  ANY             M              F ANY                  ANY
Fraction of broken ties54%                  34% ANY                  ANY             M              F ANY                 ...
Age difference
Not linear but… R2= 44%
Common friends
R2= 72%
A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age diffe...
A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age diffe...
A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age diffe...
practical implications
news ranking
real networks have been virtualized
@danielequercia
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
Loosing "Friends" on Facebook
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Loosing "Friends" on Facebook

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Why people unfriend each other on Facebook

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  • Loosing "Friends" on Facebook

    1. 1. “Loosing” Facebook Friends@danielequercia
    2. 2. <who am i>
    3. 3. daniele quercia
    4. 4. offline & online
    5. 5. social media language personality social media
    6. 6. EmotionsTalk of the City
    7. 7. EmotionsTalk of the City
    8. 8. The Social World of Twitter [ICWSM’12]“Happy” (“sad”) users do cluster together
    9. 9. YOU YOUR FRIENDS
    10. 10. EmotionsTalk of the City
    11. 11. Talk of the City [ICWSM’12] social media environment sports health Royal wedding Spanish/Portuguese celebrity gossips
    12. 12. TweetLDA: Fast & Effective Topic Modeling
    13. 13. Goal: Predictors of Unfriending
    14. 14. Word of the Year 2010
    15. 15. Surveys
    16. 16. “the act of unfriending acknowledges thatthe definition of friend is differentfrom the traditional”
    17. 17. Qualitative & Quantitative Studies
    18. 18. “the act of unfriending acknowledges thatthe definition of friend is differentfrom the traditional”
    19. 19. Quantitative study of 4 predictorsPersonalityGender in social circlesAge differenceCommon friends
    20. 20. Quantitative study of 4 predictors
    21. 21. Quantitative study of 4 predictors > 34K Users 60% women median age 23 median #friends 123
    22. 22. Personality
    23. 23. WEIRD trap!Few hundreds of WEIRDos(White,Educated,Industrialized,Rich, and Democratic)
    24. 24. o WEIRDos iable, n 5 .5M, relDavid Stillwell & Michal Kosinski
    25. 25. Based on the two’s friend lists: We know which ties are broken NOT who “broke up” with whom
    26. 26. For each of the five traits: A min(traitA, traitB) B max(traitA, traitB) avg(traitA, traitB)
    27. 27. For min, max, and avg, results are consistent:Only Extraversion (-) & Neuroticism (+)(t-test, p<0.001)
    28. 28. Gender in triads
    29. 29. Fraction of broken ties ANY ANY M F ANY ANY
    30. 30. Fraction of broken ties54% 34% ANY ANY M F ANY ANY
    31. 31. Age difference
    32. 32. Not linear but… R2= 44%
    33. 33. Common friends
    34. 34. R2= 72%
    35. 35. A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age difference Are not embedded in the same social circles
    36. 36. A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age difference Are not embedded in the same social circles
    37. 37. A tie is likely to disappear between two who: Are neurotic or introvert Have no common female friends Have large age difference Are not embedded in the same social circles
    38. 38. practical implications
    39. 39. news ranking
    40. 40. real networks have been virtualized
    41. 41. @danielequercia

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