Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data
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{"title"=>"Socio-geography of human mobility: A study using longitudinal mobile phone data", "type"=>"journal", "authors"=>[{"first_name"=>"Santi", "last_name"=>"Phithakkitnukoon", "scopus_author_id"=>"23398014000"}, {"first_name"=>"Zbigniew", "last_name"=>"Smoreda", "scopus_author_id"=>"26640645700"}, {"first_name"=>"Patrick", "last_name"=>"Olivier", "scopus_author_id"=>"35578080800"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0039253", "sgr"=>"84862998679", "issn"=>"19326203", "pui"=>"365122054", "isbn"=>"1932-6203", "pmid"=>"22761748", "scopus"=>"2-s2.0-84862998679"}, "id"=>"53d44baa-db93-3469-9ff6-152290a2f702", "abstract"=>"A relationship between people’s mobility and their social networks is presented based on an analysis of calling and mobility traces for one year of anonymized call detail records of over one million mobile phone users in Portugal. We find that about 80% of places visited are within just 20 km of their nearest (geographical) social ties’ locations. This figure rises to 90% at a ‘geo-social radius’ of 45 km. In terms of their travel scope, people are geographically closer to their weak ties than strong ties. Specifically, they are 15% more likely to be at some distance away from their weak ties than strong ties. The likelihood of being at some distance from social ties increases with the population density, and the rates of increase are higher for shorter geo-social radii. In addition, we find that area population density is indicative of geo-social radius where denser areas imply shorter radii. For example, in urban areas such as Lisbon and Porto, the geo-social radius is approximately 7 km and this increases to approximately 15 km for less densely populated areas such as Parades and Santa Maria da Feira.", "link"=>"http://www.mendeley.com/research/sociogeography-human-mobility-study-using-longitudinal-mobile-phone-data-1", "reader_count"=>110, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Researcher"=>23, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>35, "Student > Postgraduate"=>5, "Student > Master"=>24, "Other"=>5, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Researcher"=>23, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>35, "Student > Postgraduate"=>5, "Student > Master"=>24, "Other"=>5, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Agricultural and Biological Sciences"=>2, "Business, Management and Accounting"=>6, "Veterinary Science and Veterinary Medicine"=>1, "Chemical Engineering"=>1, "Computer Science"=>29, "Decision Sciences"=>1, "Earth and Planetary Sciences"=>9, "Economics, Econometrics and Finance"=>3, "Engineering"=>14, "Environmental Science"=>3, "Mathematics"=>1, "Medicine and Dentistry"=>4, "Design"=>1, "Physics and Astronomy"=>9, "Psychology"=>2, "Social Sciences"=>16}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>16}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>9}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>8}, "Environmental Science"=>{"Environmental Science"=>3}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>14}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>9}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>29}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>6}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Netherlands"=>1, "Czech Republic"=>1, "Sweden"=>1, "United States"=>7, "Luxembourg"=>1, "Finland"=>1, "United Kingdom"=>4, "Italy"=>1, "Thailand"=>1, "Switzerland"=>1, "Germany"=>2, "Spain"=>3}, "group_count"=>13}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/618623"], "description"=>"<p>Dots represent geographical locations of social ties while <i>r</i> denoting the geo-social radius and the inferred travel scope is enclosed by highlighted contour line.</p>", "links"=>[], "tags"=>["demonstrating", "inference"], "article_id"=>289118, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g010", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_An_example_for_demonstrating_inference_of_travel_scope_from_knowledge_of_social_network_geography_/289118", "title"=>"An example for demonstrating inference of travel scope from knowledge of social network geography.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:31:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/617884"], "description"=>"<p>Comparison between our inferred residential municipality population of the mobile phone users and the actual municipality population obtained from census data <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253-Instituto1\" target=\"_blank\">[<b>27</b>]</a>.</p>", "links"=>[], "tags"=>["inferred", "municipality", "users", "census"], "article_id"=>288379, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g002", "stats"=>{"downloads"=>0, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_between_our_inferred_residential_municipality_population_of_the_mobile_phone_users_and_the_actual_municipality_population_obtained_from_census_data_27_/288379", "title"=>"Comparison between our inferred residential municipality population of the mobile phone users and the actual municipality population obtained from census data [<b>27</b>].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:19:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/618409"], "description"=>"<p>Standard errors are shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s005\" target=\"_blank\">Fig. S5</a>.</p>", "links"=>[], "tags"=>["varies", "200"], "article_id"=>288904, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g007", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_of_travel_scope_being_within_some_distance_from_ties_8217_locations_where_distance_varies_from_0_to_200_km_/288904", "title"=>"Percentage of travel scope being within some distance from ties’ locations, where distance varies from 0 to 200 km.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:28:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/321108", "https://ndownloader.figshare.com/files/321131", "https://ndownloader.figshare.com/files/321154", "https://ndownloader.figshare.com/files/321184", "https://ndownloader.figshare.com/files/321212", "https://ndownloader.figshare.com/files/321246", "https://ndownloader.figshare.com/files/321270", "https://ndownloader.figshare.com/files/321313", "https://ndownloader.figshare.com/files/321337", "https://ndownloader.figshare.com/files/321368"], "description"=>"<div><p>A relationship between people’s mobility and their social networks is presented based on an analysis of calling and mobility traces for one year of anonymized call detail records of over one million mobile phone users in Portugal. We find that about 80% of places visited are within just 20<b> </b>km of their nearest (geographical) social ties’ locations. This figure rises to 90% at a ‘geo-social radius’ of 45<b> </b>km. In terms of their travel scope, people are geographically closer to their weak ties than strong ties. Specifically, they are 15% more likely to be at some distance away from their weak ties than strong ties. The likelihood of being at some distance from social ties increases with the population density, and the rates of increase are higher for shorter geo-social radii. In addition, we find that area population density is indicative of geo-social radius where denser areas imply shorter radii. For example, in urban areas such as Lisbon and Porto, the geo-social radius is approximately 7<b> </b>km and this increases to approximately 15<b> </b>km for less densely populated areas such as Parades and Santa Maria da Feira.</p> </div>", "links"=>[], "tags"=>["socio-geography", "longitudinal"], "article_id"=>123366, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0039253.s001", "https://dx.doi.org/10.1371/journal.pone.0039253.s002", "https://dx.doi.org/10.1371/journal.pone.0039253.s003", "https://dx.doi.org/10.1371/journal.pone.0039253.s004", "https://dx.doi.org/10.1371/journal.pone.0039253.s005", "https://dx.doi.org/10.1371/journal.pone.0039253.s006", "https://dx.doi.org/10.1371/journal.pone.0039253.s007", "https://dx.doi.org/10.1371/journal.pone.0039253.s008", "https://dx.doi.org/10.1371/journal.pone.0039253.s009", "https://dx.doi.org/10.1371/journal.pone.0039253.s010"], "stats"=>{"downloads"=>10, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Socio_Geography_of_Human_Mobility_A_Study_Using_Longitudinal_Mobile_Phone_Data/123366", "title"=>"Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-06-28 00:56:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/618474"], "description"=>"<p>Standard errors and p-values are shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s006\" target=\"_blank\">Fig. S6</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s010\" target=\"_blank\">Fig. S10</a>, respectively. Note: <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s007\" target=\"_blank\">Fig. S7</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s008\" target=\"_blank\">S8</a>, and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s009\" target=\"_blank\">S9</a> show standard errors for <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s001\" target=\"_blank\">Fig. S1</a>, <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s002\" target=\"_blank\">S2</a>, and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253.s003\" target=\"_blank\">S3</a>, respectively.</p>", "links"=>[], "tags"=>["computer science"], "article_id"=>288977, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g008", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_of_travel_scope_being_within_some_distance_from_weak_and_strong_ties_8217_locations_/288977", "title"=>"Percentage of travel scope being within some distance from weak and strong ties’ locations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:29:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/617614"], "description"=>"<p>Histogram of degree, call duration (minutes), call frequency, and mobility.</p>", "links"=>[], "tags"=>["duration"], "article_id"=>288113, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g001", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histogram_of_degree_call_duration_minutes_call_frequency_and_mobility_/288113", "title"=>"Histogram of degree, call duration (minutes), call frequency, and mobility.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:15:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/618303"], "description"=>"<p>Histogram of geographical distance (km) between subject’s home location and home and work locations of ties.</p>", "links"=>[], "tags"=>["geographical", "locations"], "article_id"=>288796, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histogram_of_geographical_distance_km_between_subject_8217_s_home_location_and_home_and_work_locations_of_ties_/288796", "title"=>"Histogram of geographical distance (km) between subject’s home location and home and work locations of ties.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:26:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/618230"], "description"=>"<p>Histogram of strong and weak ties.</p>", "links"=>[], "tags"=>["computer science"], "article_id"=>288727, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histogram_of_strong_and_weak_ties_/288727", "title"=>"Histogram of strong and weak ties.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:25:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/618682"], "description"=>"<p>Geo-social radius decreases with population density of the corresponding municipality.</p>", "links"=>[], "tags"=>["radius", "decreases", "corresponding"], "article_id"=>289176, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g011", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Geo_social_radius_decreases_with_population_density_of_the_corresponding_municipality_/289176", "title"=>"Geo-social radius decreases with population density of the corresponding municipality.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:32:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/618156"], "description"=>"<p><a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0039253#pone.0039253-Eurofound1\" target=\"_blank\">[<b>28</b>] </a><b>of ties.</b></p>", "links"=>[], "tags"=>["commuting", "locations", "km", "subjects", "distances", "10", "agrees"], "article_id"=>288645, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g003", "stats"=>{"downloads"=>1, "page_views"=>33, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histogram_of_commuting_distance_8211_distance_between_subjects_8217_home_and_work_locations_with_the_average_of_7_59_km_and_68_of_the_subjects_have_commuting_distances_of_less_than_10_km_which_agrees_with_/288645", "title"=>"Histogram of commuting distance – distance between subjects’ home and work locations with the average of 7.59 km and 68% of the subjects have commuting distances of less than 10 km, which agrees with", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:24:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/618549"], "description"=>"<p>At the same level of population density, the likelihood is lower for a smaller value of <i>r</i> (as shown with sample values of <i>r</i> from 10<b> </b>km to 40<b> </b>km). Meanwhile with a smaller value of <i>r</i>, the likelihood increases with the population density level at a higher rate.</p>", "links"=>[], "tags"=>["km", "increases", "municipality", "fitted"], "article_id"=>289043, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g009", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_likelihood_of_being_within_r_km_from_a_social_tie_increases_with_the_municipality_population_density_d_and_this_relationship_can_be_fitted_with_the_power_law_/289043", "title"=>"The likelihood of being within r km from a social tie increases with the municipality population density (<i>d</i>), and this relationship can be fitted with the power law.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:30:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/618358"], "description"=>"<p>Histogram of geographical distance (km) between home locations of people and their ties.</p>", "links"=>[], "tags"=>["geographical", "locations"], "article_id"=>288850, "categories"=>["Information And Computing Sciences"], "users"=>["Santi Phithakkitnukoon", "Zbigniew Smoreda", "Patrick Olivier"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0039253.g006", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Histogram_of_geographical_distance_km_between_home_locations_of_people_and_their_ties_/288850", "title"=>"Histogram of geographical distance (km) between home locations of people and their ties.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-28 02:27:30"}

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Relative Metric

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