Strategies and limitations in app usage and human mobility

Strategies and limitations in app usage and human mobility

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Marco De Nadai

July 18, 2019
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  1. 1.

    Strategies and limitations in app usage and human mobility Marco

    De Nadai, Antonio Lima, Angelo Cardoso, Bruno Lepri and Nuria Oliver
  2. 3.

    3 PEOPLE SPEND AN INCREASINGLY AMOUNT OF TIME ON THE

    PHONE […] REACHING 3 HOURS PER DAY THERE ARE 2.1M APPS IN THE GOOGLE PLAY STORE App usage statistics by Statista.com & hubspot.net USER ENGAGMENT INCREASED BY 23%
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    6 ALWAYS USED MEH... SOMETIMES WAS THIS APP EVEN HERE?

    • APP USAGE CHANGES • APPS CHANGE But I always use the same apps!
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    8 •Screen time of 90K people •Over 8 months •69K

    different apps •12M of people’s hours spent on apps Data
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    13 • " ~ ( + ' ))*), - •

    = 1.19 ± 0.01 Characterizing App usage
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    14 • " ~ ( + ' ))*), - •

    = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01
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    15 • " ~ ( + ' ))*), - •

    = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01 • ~ 9 • γ = 0.41
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    16 • " ~ ( + ' ))*), - •

    = 1.19 ± 0.01 Characterizing App usage • " ~ ())* • = 1.27 ± 0.01 • ~ 9 • γ = 0.41 • PEOPLE TIME IS FOCUSED ON FEW APPS • PEOPLE KEEP EXPLORING NEW APPS
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    18 • Apps used at least twice and for at

    least 10 min per week • 20 weeks long sliding windows (1 week) • How does the App space evolve over time? The familiar apps over time: the App space THE APP SPACE (t) THE APP SPACE (t-1) THE APP SPACE (t+1) 1 WEEK 1 WEEK
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    App space over time (adopted and dropped apps) B <

    < = (<) = 4 B = (B) = 5 THE APP SPACE (t)
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    App space over time (adopted and dropped apps) D B

    < < = (<) = 4 B = (B) = 5 D = (D) = 4 THE APP SPACE (t)
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    App space over time (adopted and dropped apps) <)B =

    <)B = B)D = B)D = D B < < = (<) = 4 B = (B) = 5 D = (D) = 4 THE APP SPACE (t)
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    23 • Gain: M = M − M () •

    97.5% of people exhibit a conserved capacity ( OP QRP ≤ 1) Adoped and dropped apps
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    What is the conserved capacity? On average: •Everytime a new

    app is adopted, an older app is discarded THE APP SPACE (t)
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    25 •Local shuffle: app usage order of a user No

    time consequence (KS: 0.55 p-value < 0.001). •Global: app usage among users (KS: 0.98 p-value < 0.001). It’s an individual characteristics. Is capacity a time-constraints consequence? < B D T USER A D T < B < B D T USER A < B D T < B D T USER B < B D T
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    26 The app strategy • EXPLORERS (M ≫ ) •

    KEEPERS (M ≪ ) • Explorers adopt 1 new app every 28 weeks • Keepers always keep using the same apps M = M / M
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    30 People are focused on few apps, but keep exploring.

    Individuals exhibit a conserved app capacity •Capacity is an individual behaviour •Capacity varies with age •We can define app explorers and keepers •AND MORE! So?
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    35 • Alessandretti, Laura, et al. "Evidence for a conserved

    quantity in human mobility." Nature human behaviour 2.7 (2018): 485. • Alessandretti, Laura, Sune Lehmann, and Andrea Baronchelli. "Understanding the interplay between social and spatial behaviour." EPJ Data Science 7.1 (2018): 36. • Pappalardo, Luca, et al. "Returners and explorers dichotomy in human mobility." Nature communications 6 (2015): 8166. • Miritello, Giovanna, et al. "Limited communication capacity unveils strategies for human interaction." Scientific reports 3 (2013): 1950. References
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    36 Apps that stay the most ~10% of apps are

    always kept ~17.5% are continuosly changed