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Codes for my CalorieKing project: study of the correlations between online social networking and weight loss outcomes. See my paper "Social embeddedness in an online weight management programme is linked to greater weight loss" published here: http://rsif.royalsocietypublishing.org/content/12/104/20140686

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10 Commits
Figures
Figures
 
 
1__build_CK_network_data2009_2013_collected_june2013.py
1__build_CK_network_data2009_2013_collected_june2013.py
 
 
2__kshell_vs_percentage_weight_change_CK.py
2__kshell_vs_percentage_weight_change_CK.py
 
 
2d_histogram.py
2d_histogram.py
 
 
2d_histogram_general.py
2d_histogram_general.py
 
 
AnnotateGraph.py
AnnotateGraph.py
 
 
CKActivityMetrics.py
CKActivityMetrics.py
 
 
CK_BMI_groups_time_bins_analysis.py
CK_BMI_groups_time_bins_analysis.py
 
 
CK_BMI_groups_time_bins_analysis_normal_users.py
CK_BMI_groups_time_bins_analysis_normal_users.py
 
 
CK_inconsistencies_act_wins_outside_memberships_2years.py
CK_inconsistencies_act_wins_outside_memberships_2years.py
 
 
CK_inconsistencies_act_wins_outside_memberships_4years_2013.py
CK_inconsistencies_act_wins_outside_memberships_4years_2013.py
 
 
CK_some_numbers_2years_regarding_paying_info.py
CK_some_numbers_2years_regarding_paying_info.py
 
 
Fig_coeff_model2_vs_time_bins.py
Fig_coeff_model2_vs_time_bins.py
 
 
Fig_coeff_model3_vs_time_bins.py
Fig_coeff_model3_vs_time_bins.py
 
 
GINI_coef.py
GINI_coef.py
 
 
GraphRandomization.py
GraphRandomization.py
 
 
GraphRandomization_modified.py
GraphRandomization_modified.py
 
 
GraphRandomization_to_play_with.py
GraphRandomization_to_play_with.py
 
 
GraphRandomization_with_attributes.py
GraphRandomization_with_attributes.py
 
 
Haroldo_weigh_history_sel.py
Haroldo_weigh_history_sel.py
 
 
Pk_ck.py
Pk_ck.py
 
 
R6_ego_network_statistics.py
R6_ego_network_statistics.py
 
 
R6_ego_network_statistics_overlap.py
R6_ego_network_statistics_overlap.py
 
 
R6_ego_network_statistics_overlap_BMIgroups.py
R6_ego_network_statistics_overlap_BMIgroups.py
 
 
R6_ego_network_statistics_overlap_bootstrap.py
R6_ego_network_statistics_overlap_bootstrap.py
 
 
R6_ego_network_statistics_overlap_clinically_signif.py
R6_ego_network_statistics_overlap_clinically_signif.py
 
 
R6_ego_network_statistics_overlap_excluding900guy_and_others.py
R6_ego_network_statistics_overlap_excluding900guy_and_others.py
 
 
R6_ego_network_statistics_overlap_inner_core.py
R6_ego_network_statistics_overlap_inner_core.py
 
 
R6_ego_network_statistics_overlap_noBMI.py
R6_ego_network_statistics_overlap_noBMI.py
 
 
R6_ego_network_statistics_overlap_obese_overw.py
R6_ego_network_statistics_overlap_obese_overw.py
 
 
R6_ego_network_statistics_overlap_other_top_ten_properties.py
R6_ego_network_statistics_overlap_other_top_ten_properties.py
 
 
R6_ego_network_statistics_overlap_other_top_ten_properties_and_notR6.py
R6_ego_network_statistics_overlap_other_top_ten_properties_and_notR6.py
 
 
R6_ego_network_statistics_overlap_other_top_ten_properties_and_not_neighbour_of_anyR6.py
R6_ego_network_statistics_overlap_other_top_ten_properties_and_not_neighbour_of_anyR6.py
 
 
R6_ego_network_statistics_overlap_quarters_semesters.py
R6_ego_network_statistics_overlap_quarters_semesters.py
 
 
R6_ego_network_statistics_overlap_rand_version.py
R6_ego_network_statistics_overlap_rand_version.py
 
 
R6_ego_network_statistics_overlap_random_roles.py
R6_ego_network_statistics_overlap_random_roles.py
 
 
R6_ego_network_statistics_overlap_randomly_selected.py
R6_ego_network_statistics_overlap_randomly_selected.py
 
 
R6_ego_network_statistics_overlap_union_sets_larger5.py
R6_ego_network_statistics_overlap_union_sets_larger5.py
 
 
README.md
README.md
 
 
Rogers_algorithm_communities_for_Laura.py
Rogers_algorithm_communities_for_Laura.py
 
 
add_P_having_two_points.py
add_P_having_two_points.py
 
 
add_P_having_two_points_add_kshell_index.py
add_P_having_two_points_add_kshell_index.py
 
 
add_P_having_two_points_add_kshell_index_Act_per_day.py
add_P_having_two_points_add_kshell_index_Act_per_day.py
 
 
add_SmallComp_info_to_master_csv.py
add_SmallComp_info_to_master_csv.py
 
 
add_db_indices.py
add_db_indices.py
 
 
add_gender_and_paying_info_to_CKdb_EDIT_DB.py
add_gender_and_paying_info_to_CKdb_EDIT_DB.py
 
 
add_more_annotations.py
add_more_annotations.py
 
 
age_bmi_distributions.py
age_bmi_distributions.py
 
 
all_users_activity_degree_distribution.py
all_users_activity_degree_distribution.py
 
 
all_users_activity_distribution.py
all_users_activity_distribution.py
 
 
analysis_ForumNetwork.py
analysis_ForumNetwork.py
 
 
analysis_weight_change_diff_sets_first6months_bootstrap.py
analysis_weight_change_diff_sets_first6months_bootstrap.py
 
 
analysis_weight_change_diff_sets_first6months_bootstrap_P120_p180.py
analysis_weight_change_diff_sets_first6months_bootstrap_P120_p180.py
 
 
analyze_frequency_gaps_in_time_series_frequencies.py
analyze_frequency_gaps_in_time_series_frequencies.py
 
 
analyze_frequency_gaps_in_time_series_frequencies_EDIT_DB.py
analyze_frequency_gaps_in_time_series_frequencies_EDIT_DB.py
 
 
analyze_frequency_gaps_in_time_series_frequencies_defined_as6times_average_first_isolated_points_EDIT_DB.py
analyze_frequency_gaps_in_time_series_frequencies_defined_as6times_average_first_isolated_points_EDIT_DB.py
 
 
analyze_frequency_gaps_in_time_series_frequencies_first_isolated_points_EDIT_DB.py
analyze_frequency_gaps_in_time_series_frequencies_first_isolated_points_EDIT_DB.py
 
 
anim1.py
anim1.py
 
 
annotate_CK_network_data2009_2013_collected_june2013.py
annotate_CK_network_data2009_2013_collected_june2013.py
 
 
annotate_betweenness_vitality.py
annotate_betweenness_vitality.py
 
 
annotate_communities.py
annotate_communities.py
 
 
annotate_communities_pruning.py
annotate_communities_pruning.py
 
 
annotate_timeslice_networks_communities.py
annotate_timeslice_networks_communities.py
 
 
aux_get_closest.py
aux_get_closest.py
 
 
aux_merge_small_cmm.py
aux_merge_small_cmm.py
 
 
auxiliar.py
auxiliar.py
 
 
average_segments_time_series_for_Mech_Turk_task.py
average_segments_time_series_for_Mech_Turk_task.py
 
 
averages_weight_BMI_read_csvfile.py
averages_weight_BMI_read_csvfile.py
 
 
averages_weight_BMI_read_csvfile_BMIgroups.py
averages_weight_BMI_read_csvfile_BMIgroups.py
 
 
averages_weight_BMI_read_csvfile_BMIgroups_workinprogress.py
averages_weight_BMI_read_csvfile_BMIgroups_workinprogress.py
 
 
averages_weight_activity_roles.py
averages_weight_activity_roles.py
 
 
averages_weight_roles.py
averages_weight_roles.py
 
 
averages_weight_roles_lists.py
averages_weight_roles_lists.py
 
 
averages_weight_roles_separated.py
averages_weight_roles_separated.py
 
 
baduserslist.py
baduserslist.py
 
 
block_CK_m50_All.py
block_CK_m50_All.py
 
 
block_CK_m50_All2.py
block_CK_m50_All2.py
 
 
block_comm_CK_show.py
block_comm_CK_show.py
 
 
block_pie_CK_m50_All.py
block_pie_CK_m50_All.py
 
 
block_pie_CK_m50_All2.py
block_pie_CK_m50_All2.py
 
 
blog_network_metrics.py
blog_network_metrics.py
 
 
bootstrap2.py
bootstrap2.py
 
 
bootstrap_module.py
bootstrap_module.py
 
 
bootstrapfrac.py
bootstrapfrac.py
 
 
bootstrapmeans.py
bootstrapmeans.py
 
 
build_friend_graph.py
build_friend_graph.py
 
 
build_friend_graph_activity.py
build_friend_graph_activity.py
 
 
build_friend_graph_ex_weight_data.py
build_friend_graph_ex_weight_data.py
 
 
build_friend_graph_julia.py
build_friend_graph_julia.py
 
 
build_master_csv.py
build_master_csv.py
 
 
build_method_3_graphs.py
build_method_3_graphs.py
 
 
build_method_4_graphs.py
build_method_4_graphs.py
 
 
build_quarter_semester_window_networks.py
build_quarter_semester_window_networks.py
 
 
build_revised_graph.py
build_revised_graph.py
 
 
build_revised_graph_v2.py
build_revised_graph_v2.py
 
 
build_sc_method3.py
build_sc_method3.py
 
 
build_timeslice_graphs.py
build_timeslice_graphs.py
 
 
build_weight_change_csv.py
build_weight_change_csv.py
 
 
calculate_pwc_diff_groups_GC_SC.py
calculate_pwc_diff_groups_GC_SC.py
 
 
calculate_summary_statistics_diff_groups.py
calculate_summary_statistics_diff_groups.py
 
 

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CalorieKing

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Codes for my CalorieKing project: study of the correlations between online social networking and weight loss outcomes. See my paper "Social embeddedness in an online weight management programme is linked to greater weight loss" published here: http://rsif.royalsocietypublishing.org/content/12/104/20140686

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