%PDF-1.4 % 4 0 obj << /S /GoTo /D (section*.4) >> endobj 7 0 obj (Introduction) endobj 8 0 obj << /S /GoTo /D (section*.5) >> endobj 11 0 obj (Related Work) endobj 12 0 obj << /S /GoTo /D (section*.6) >> endobj 15 0 obj (Method) endobj 16 0 obj << /S /GoTo /D (section*.7) >> endobj 19 0 obj (Locaccino) endobj 20 0 obj << /S /GoTo /D (section*.8) >> endobj 23 0 obj (Recruitment, Demographics and Data Collection) endobj 24 0 obj << /S /GoTo /D (section*.9) >> endobj 27 0 obj (Co-location) endobj 28 0 obj << /S /GoTo /D (section*.10) >> endobj 31 0 obj (Network Data) endobj 32 0 obj << /S /GoTo /D (section*.11) >> endobj 35 0 obj (Model Descriptions) endobj 36 0 obj << /S /GoTo /D (section*.12) >> endobj 39 0 obj (Measuring the diversity of a location) endobj 40 0 obj << /S /GoTo /D (section*.13) >> endobj 43 0 obj (Co-location features) endobj 44 0 obj << /S /GoTo /D (section*.14) >> endobj 47 0 obj (Measuring the regularity of a user's routine ) endobj 48 0 obj << /S /GoTo /D (section*.15) >> endobj 51 0 obj (User mobility features) endobj 52 0 obj << /S /GoTo /D (section*.16) >> endobj 55 0 obj (Results) endobj 56 0 obj << /S /GoTo /D (section*.17) >> endobj 59 0 obj (Inferring social network ties from co-location) endobj 60 0 obj << /S /GoTo /D (section*.18) >> endobj 63 0 obj (Inferring the number of friends from user mobility data) endobj 64 0 obj << /S /GoTo /D (section*.19) >> endobj 67 0 obj (Discussion) endobj 68 0 obj << /S /GoTo /D (section*.20) >> endobj 71 0 obj (Conclusions) endobj 72 0 obj << /S /GoTo /D (section*.21) >> endobj 75 0 obj (Acknoledgements) endobj 76 0 obj << /S /GoTo /D (section*.22) >> endobj 79 0 obj (REFERENCES ) endobj 80 0 obj << /S /GoTo /D [81 0 R /FitH ] >> endobj 90 0 obj << /Length 4303 /Filter /FlateDecode >> stream xڝZI6WaheڎvCDBd:_?oOͅ v-soLo&ȼ" MP^d~9P7:SLs݆Y鏚3_3g^QnyEYx 67O֔&?Mj*μojHҸ`,Nn+$Yg6 < xnd3 yݩ6}~7myjl+ߴp\YxA$!psMNnGx:6TzX۶^fߞC;4))Sl`4S~u1a+Κ^d