This function download all the retweets that every user on the list of politician on twitter made with each others

get_network_data(
  category = "all",
  start_date = "2021-01-01",
  end_date = "2021-03-31"
)

Arguments

category

A character vector with the category selected -"deputies","senators","national executive","others","province servants", "all"-

start_date

A character with the date where the retweets ocurr. This param read the date info in format 'yyyy-mm-dd'

end_date

A character with the date where the retweets stop. This param read the date info in format 'yyyy-mm-dd'

Examples

get_network_data(category = 'province servants',  start_date= "2020-10-01", end_date = "2020-12-31")
#> 
 Found 1000 records...
 Found 1020 records...
 Imported 1020 records. Simplifying into dataframe...
#> 
 Found 1000 records...
 Found 2000 records...
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 Found 8000 records...
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 Found 10000 records...
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 Found 92000 records...
 Found 92848 records...
 Imported 92848 records. Simplifying into dataframe...
#>       month_year             user_id     retweet_user_id value
#> 45911 2020-10-31           110043455           500964169     1
#> 46101 2020-10-31 1213976332750618624          2953955753     5
#> 46105 2020-10-31 1213976332750618624           500964169     1
#> 46106 2020-10-31 1213976332750618624  779340061263425537     1
#> 46288 2020-10-31          1475504383          2953955753     2
#> 46290 2020-10-31          1475504383           500964169     1
#> 46403 2020-10-31          1579326655           143689068     1
#> 46407 2020-10-31          1579326655          2953955753     3
#> 46416 2020-10-31          1584076484          2953955753     2
#> 46419 2020-10-31          1584076484           500964169     3
#> 46591 2020-10-31           174801590 1239520164699398145     1
#> 46627 2020-10-31           185076776          2953955753    45
#> 46630 2020-10-31           185076776           500964169     5
#> 46632 2020-10-31           185076776  879024609227665408     1
#> 46649 2020-10-31           188998649          2953955753     7
#> 46650 2020-10-31           188998649          4707533116     1
#> 46690 2020-10-31           200859218          1691697295     2
#> 47016 2020-10-31           288342621           172841079     1
#> 47017 2020-10-31           288342621            37494271     2
#> 47029 2020-10-31          2953955753           143689068     1
#> 47034 2020-10-31          2953955753           500964169     7
#> 47036 2020-10-31          2953955753  879024609227665408     2
#> 47037 2020-10-31           297543171            37494271     5
#> 47038 2020-10-31           297543171            77009449     2
#> 47234 2020-10-31            34455479            37494271     3
#> 47235 2020-10-31            34455479            77009449    54
#> 47320 2020-10-31          3763467682           143689068     3
#> 47323 2020-10-31          3763467682          1579326655     3
#> 47324 2020-10-31          3763467682          1584076484     4
#> 47325 2020-10-31          3763467682           185076776     1
#> 47326 2020-10-31          3763467682          2953955753    17
#> 47329 2020-10-31          3763467682           500964169     4
#> 47333 2020-10-31          3763467682  779340061263425537    74
#> 47492 2020-10-31          4707533116           143689068     3
#> 47493 2020-10-31          4707533116          1475504383     1
#> 47496 2020-10-31          4707533116          2953955753     3
#> 47497 2020-10-31          4707533116           500964169     2
#> 47556 2020-10-31           500964169 1215668032934117378     1
#> 47557 2020-10-31           500964169          1579326655     2
#> 47558 2020-10-31           500964169           188998649     1
#> 47559 2020-10-31           500964169          2953955753     1
#> 47562 2020-10-31           500964169  779340061263425537     1
#> 47563 2020-10-31           500964169  879024609227665408     2
#> 48051 2020-10-31           950224302           185076776     1
#> 48052 2020-10-31           950224302          2953955753     4
#> 48259 2020-11-30 1213976332750618624          2953955753     6
#> 48263 2020-11-30 1213976332750618624           500964169     6
#> 48482 2020-11-30          1579326655           143689068     1
#> 48485 2020-11-30          1579326655          2953955753     2
#> 48493 2020-11-30          1584076484           500964169     4
#> 48494 2020-11-30          1584076484  779340061263425537     2
#> 48495 2020-11-30          1584076484           950224302     1
#> 48632 2020-11-30           185076776          2953955753    17
#> 48633 2020-11-30           185076776           500964169     2
#> 48634 2020-11-30           185076776           593781032     1
#> 48636 2020-11-30           188998649          2953955753     4
#> 48655 2020-11-30           200859218          1691697295     1
#> 48786 2020-11-30          2544467503           143852870     1
#> 48897 2020-11-30           288342621           164368516     1
#> 48898 2020-11-30           288342621           172841079     1
#> 48899 2020-11-30           288342621            17449646     1
#> 48900 2020-11-30           288342621           297543171     1
#> 48901 2020-11-30           288342621            37494271     2
#> 48903 2020-11-30           288342621            77009449     2
#> 48910 2020-11-30          2953955753          1579326655     1
#> 48912 2020-11-30          2953955753           500964169     7
#> 48915 2020-11-30          2953955753  879024609227665408     1
#> 48916 2020-11-30           297543171            37494271     5
#> 48917 2020-11-30           297543171            77009449     2
#> 48963 2020-11-30          3256203501          2544467503     2
#> 49032 2020-11-30            34455479            37494271     2
#> 49033 2020-11-30            34455479            77009449    63
#> 49073 2020-11-30          3763467682          1584076484     1
#> 49075 2020-11-30          3763467682          2589783002     1
#> 49076 2020-11-30          3763467682          2953955753     3
#> 49079 2020-11-30          3763467682           500964169     4
#> 49082 2020-11-30          3763467682  779340061263425537    60
#> 49236 2020-11-30          4707533116          2953955753     4
#> 49238 2020-11-30          4707533116           500964169     1
#> 49295 2020-11-30           500964169           112822128     1
#> 49296 2020-11-30           500964169 1215668032934117378     3
#> 49297 2020-11-30           500964169           143689068     3
#> 49298 2020-11-30           500964169          1579326655     1
#> 49299 2020-11-30           500964169           188998649     1
#> 49300 2020-11-30           500964169          2953955753     2
#> 49303 2020-11-30           500964169  779340061263425537     3
#> 49304 2020-11-30           500964169  879024609227665408     4
#> 49390 2020-11-30           593781032          2953955753     1
#> 49676 2020-11-30           950224302          2953955753     1
#> 49677 2020-11-30           950224302          3763467682     1
#> 49749 2020-12-31           110043455          2953955753     1
#> 49750 2020-12-31           110043455           500964169     1
#> 49759 2020-12-31           112822128          2953955753     1
#> 49763 2020-12-31           112822128           500964169     1
#> 49892 2020-12-31 1208861562410283010          2953955753     1
#> 49893 2020-12-31 1213976332750618624 1213976332750618624     5
#> 49894 2020-12-31 1213976332750618624           143689068     2
#> 49895 2020-12-31 1213976332750618624          2953955753    25
#> 49897 2020-12-31 1213976332750618624           500964169    25
#> 49903 2020-12-31 1215668032934117378          2953955753     1
#> 50020 2020-12-31           143689068          2953955753     4
#> 50022 2020-12-31           143689068           500964169     1
#> 50024 2020-12-31           143852870           339334958     2
#> 50142 2020-12-31          1579326655          2953955753     6
#> 50153 2020-12-31          1584076484          2953955753     2
#> 50155 2020-12-31          1584076484           500964169     3
#> 50156 2020-12-31          1584076484  779340061263425537     1
#> 50255 2020-12-31           172841079            37494271     1
#> 50263 2020-12-31           174801590            77009449     1
#> 50301 2020-12-31           185076776          2953955753    13
#> 50304 2020-12-31           185076776           500964169     3
#> 50305 2020-12-31           185076776  779340061263425537     1
#> 50315 2020-12-31           188998649          2953955753     4
#> 50316 2020-12-31           188998649           500964169     1
#> 50317 2020-12-31           188998649  879024609227665408     1
#> 50341 2020-12-31           200859218          1691697295     1
#> 50492 2020-12-31          2544467503          2953955753     1
#> 50494 2020-12-31          2544467503           935088068     1
#> 50615 2020-12-31           288342621           172841079     1
#> 50616 2020-12-31           288342621            17449646     1
#> 50617 2020-12-31           288342621           288342621     2
#> 50618 2020-12-31           288342621           313577888     1
#> 50619 2020-12-31           288342621            37494271     1
#> 50624 2020-12-31          2953955753 1215668032934117378     1
#> 50625 2020-12-31          2953955753           143689068     1
#> 50628 2020-12-31          2953955753           500964169    12
#> 50629 2020-12-31           297543171            37494271     4
#> 50630 2020-12-31           297543171            77009449     3
#> 50670 2020-12-31          3256203501           143852870     4
#> 50779 2020-12-31            34455479            37494271     2
#> 50780 2020-12-31            34455479            77009449    59
#> 50847 2020-12-31          3763467682 1208861562410283010     1
#> 50851 2020-12-31          3763467682           185076776     1
#> 50852 2020-12-31          3763467682          2953955753     7
#> 50853 2020-12-31          3763467682          3763467682     2
#> 50855 2020-12-31          3763467682           500964169    17
#> 50856 2020-12-31          3763467682  779340061263425537    55
#> 50857 2020-12-31          3763467682  879024609227665408     1
#> 50964 2020-12-31          4449919888           112822128     2
#> 50967 2020-12-31          4449919888           143689068     1
#> 50970 2020-12-31          4449919888          2841506345     1
#> 50971 2020-12-31          4449919888          2953955753     1
#> 51010 2020-12-31          4707533116           112822128     3
#> 51013 2020-12-31          4707533116           143689068     2
#> 51016 2020-12-31          4707533116          1579326655     1
#> 51018 2020-12-31          4707533116          2953955753     9
#> 51020 2020-12-31          4707533116           500964169     5
#> 51023 2020-12-31          4707533116  779340061263425537     1
#> 51071 2020-12-31           500964169 1215668032934117378     1
#> 51072 2020-12-31           500964169           143689068     1
#> 51073 2020-12-31           500964169          1579326655     1
#> 51075 2020-12-31           500964169           185076776     1
#> 51076 2020-12-31           500964169          2953955753     1
#> 51078 2020-12-31           500964169          4707533116     2
#> 51079 2020-12-31           500964169  779340061263425537     2
#> 51170 2020-12-31           593781032          2953955753     1
#> 51171 2020-12-31           593781032           500964169     4
#> 51295 2020-12-31            77009449            37494271     5
#> 51313 2020-12-31            84713190          4449919888     1
#> 51458 2020-12-31           950224302          2953955753     2
#> 51459 2020-12-31           950224302           500964169     1
get_network_data(category = c('province servants', 'others'),  start_date= "2020-10-01", end_date = "2020-12-31")
#> Error in quiet(download_list()) could not find function "quiet"