The ennet package also includes analytic functions that
summarises the text data available from the en-net online forum.
Currently, there are four sets of analytic functions available from
ennet:
count_topics_time functions - set of functions to
count the number of topics or questions by day, wee, month or
year;
count_topics_theme functions - set of functions to
count the number of topics or questions by theme;
count_topics_author functions - set of functions to
count the number of topics or questions by author; and,
arrange functions - set of functions to arrange
topics by number of views or by number of replies.
Summarising the number of topics or questions raised within the en-net online forum
is basic and useful analytics that can proxy relative importance of a
thematic area within the forum. This is facilitated by three sets of
functions - 1) count_topics_time; 2)
count_topics_theme; and, 3)
count_topics_author.
The count_topics_time set of functions consist of four
functions that count topics by day, by week, by
month, or by year. To count the number of
topics/questions per day, the count_topics_day function is
used as follows:
which results in:
#> # A tibble: 1,954 × 2
#> day n
#> <date> <int>
#> 1 2009-02-14 1
#> 2 2009-02-18 1
#> 3 2009-02-19 2
#> 4 2009-02-20 1
#> 5 2009-02-23 1
#> 6 2009-02-24 2
#> 7 2009-02-25 3
#> 8 2009-03-02 1
#> 9 2009-03-03 1
#> 10 2009-03-07 1
#> # … with 1,944 more rowsBy default, the count_topics_day function will provide
an output that is not sorted by number of topics/questions per day. To
sort by number of topics/questions per day, specify .sort
as TRUE:
count_topics_day(.sort = TRUE)which gives the following output:
#> # A tibble: 1,954 × 2
#> day n
#> <date> <int>
#> 1 2015-06-02 12
#> 2 2019-05-13 11
#> 3 2015-08-13 8
#> 4 2016-09-30 8
#> 5 2014-08-19 7
#> 6 2018-04-09 7
#> 7 2020-04-02 7
#> 8 2012-05-16 6
#> 9 2015-05-07 6
#> 10 2016-11-11 6
#> # … with 1,944 more rowsCounting topics/questions by week, month, or year require just using
the function named after the time required. For weekly counts, use
count_topics_week, for monthly use
count_topics_month, and for yearly use
count_topics_year.
## Count topics/questions by week
count_topics_week()
## Count topics/questions by month
count_topics_month()
## Count topics/questions by year
count_topics_year()The count_topics_theme set of functions consists of two
functions that count topics/questions by theme, and count
topics/questions by theme and by time.
Counting of topics by theme is specified as follows:
which results in:
#> # A tibble: 16 × 2
#> Theme n
#> <chr> <int>
#> 1 Announcements & Nutritionists needed 1342
#> 2 Assessment and Surveillance 570
#> 3 Management of wasting/acute malnutrition 566
#> 4 Infant and young child feeding interventions 238
#> 5 Upcoming trainings 103
#> 6 COVID-19 and nutrition programming 88
#> 7 Other thematic area 57
#> 8 Micronutrients 56
#> 9 Scaling Up Nutrition (SUN) 56
#> 10 Cross-cutting issues 48
#> 11 Management of small and nutritionally at risk infants under six months… 43
#> 12 Food assistance 33
#> 13 Adolescent nutrition 30
#> 14 Prevention and management of stunting 21
#> 15 Partnerships for research 19
#> 16 Simplified Approaches for the Management of Acute Malnutrition 18Results provided by count_topics_theme is not sorted by
number of topics/questions. To sort, specify .sort as
TRUE:
count_topics_theme(.sort = TRUE)which results in:
#> # A tibble: 16 × 2
#> Theme n
#> <chr> <int>
#> 1 Announcements & Nutritionists needed 1400
#> 2 Assessment and Surveillance 589
#> 3 Management of wasting/acute malnutrition 581
#> 4 Infant and young child feeding interventions 255
#> 5 Upcoming trainings 107
#> 6 COVID-19 and nutrition programming 89
#> 7 Other thematic area 61
#> 8 Scaling Up Nutrition (SUN) 57
#> 9 Micronutrients 56
#> 10 Management of small and nutritionally at risk infants under six months… 50
#> 11 Cross-cutting issues 48
#> 12 Food assistance 33
#> 13 Adolescent nutrition 32
#> 14 Prevention and management of stunting 21
#> 15 Partnerships for research 19
#> 16 Simplified Approaches for the Management of Acute Malnutrition 19Counting of topics/questions by theme can also be done by time using
the count_topics_theme_time. For example, counting
topics/questions by theme by day is done as follows:
count_topics_theme_time(by_time = "day")which gives the following output:
#> # A tibble: 2,683 × 3
#> Theme day n
#> <chr> <date> <int>
#> 1 Announcements & Nutritionists needed 2015-06-02 12
#> 2 Announcements & Nutritionists needed 2019-05-13 11
#> 3 Announcements & Nutritionists needed 2015-08-13 7
#> 4 Announcements & Nutritionists needed 2015-05-07 6
#> 5 Scaling Up Nutrition (SUN) 2016-11-11 6
#> 6 Announcements & Nutritionists needed 2013-10-21 5
#> 7 Announcements & Nutritionists needed 2014-09-11 5
#> 8 Announcements & Nutritionists needed 2015-08-11 5
#> 9 Announcements & Nutritionists needed 2015-09-02 5
#> 10 Announcements & Nutritionists needed 2016-03-11 5
#> # … with 2,673 more rowsUnlike the previous count functions, the output of
count_topics_theme_time is already sorted by default.
To count topics/questions by theme by week, month, or year just
requires changing the by_time argument to the desired time
interval as shown below:
## Count topics/questions by theme by week
count_topics_theme_time(by_time = "week")
## Count topics/questions by theme by month
count_topics_theme_time(by_time = "month")
## Count topics/questions by theme by year
count_topics_theme_time(by_time = "year")The count_topics_author set of functions consists of two
functions that count topics/questions by author, and count
topics/questions by author and by time.
Counting of topics by author is specified as follows:
which results in:
#> # A tibble: 1,192 × 2
#> Author n
#> <chr> <int>
#> 1 Tamsin Walters 183
#> 2 Marie Lecuyer 61
#> 3 Michael ALVES 58
#> 4 Anonymous 1494 49
#> 5 Marie McGrath 49
#> 6 Mark Myatt 43
#> 7 NA 41
#> 8 Anonymous 81 39
#> 9 Mark Hawkes 35
#> 10 Mija Ververs 33
#> # … with 1,182 more rowsResults provided by count_topics_author is not sorted by
number of topics/questions. To sort, specify .sort as
TRUE:
count_topics_author(.sort = TRUE)which results in:
#> # A tibble: 1,192 × 2
#> Author n
#> <chr> <int>
#> 1 Tamsin Walters 183
#> 2 Marie Lecuyer 61
#> 3 Michael ALVES 58
#> 4 Anonymous 1494 49
#> 5 Marie McGrath 49
#> 6 Mark Myatt 43
#> 7 NA 41
#> 8 Anonymous 81 39
#> 9 Mark Hawkes 35
#> 10 Mija Ververs 33
#> # … with 1,182 more rowsCounting of topics/questions by author can also be done by time using
the count_topics_author_time. For example, counting
topics/questions by author by day is done as follows:
count_topics_author_time(by_time = "day")which gives the following output:
#> # A tibble: 2,971 × 3
#> Author day n
#> <chr> <date> <int>
#> 1 Anonymous 1494 2015-06-02 11
#> 2 Mark Hawkes 2019-05-13 11
#> 3 Andi Kendle 2017-09-25 6
#> 4 GTAM Wasting TWG 2020-08-07 5
#> 5 Isabelle Modigell 2019-06-06 5
#> 6 Marie McGrath 2016-09-30 5
#> 7 Michael ALVES 2014-09-11 5
#> 8 Michael ALVES 2015-09-02 5
#> 9 Thuy Nguyen 2016-11-11 5
#> 10 Alan Mason 2016-09-15 4
#> # … with 2,961 more rowsUnlike the previous count functions, the output of
count_topics_author_time is already sorted by default.
To count topics/questions by author by week, month, or year just
requires changing the by_time argument to the desired time
interval as shown below:
## Count topics/questions by author by week
count_topics_author_time(by_time = "week")
## Count topics/questions by author by month
count_topics_author_time(by_time = "month")
## Count topics/questions by author by year
count_topics_author_time(by_time = "year")count functions
In the current release of the ennet package, the
following functions have now undergone deprecation:
count_topics
count_authors
These functions have now been superseded by the more performant
count_topics functions above. We recommend that if you have
been using these deprecated functions previously to update your work to
use the new functions described above. These deprecated function will be
made defunct on the next release of ennet package.
Summarising the number of topics or questions raised within the en-net online forum
by arranging them based on number of views can proxy level of interest
to a specific topic by those participating in the forum. This is
facilitated using the arrange_views function. Ranking of
topics by number of views is done per thematic area and by a specific
time period. Ranking of topics by number of views by thematic area and
by month and year is performed by default:
which results in:
#> # A tibble: 3,288 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Age g… 1601 Anony… 2020-02-15 http… 1 Feb 2020
#> 2 Adolescent nutrition The E… 850 Moham… 2021-02-01 http… 0 Feb 2021
#> 3 Adolescent nutrition Webin… 1923 Steph… 2021-03-11 http… 3 Mar 2021
#> 4 Adolescent nutrition Webin… 1434 NATAS… 2021-03-18 http… 5 Mar 2021
#> 5 Adolescent nutrition Webin… 1040 NATAS… 2021-03-04 http… 1 Mar 2021
#> 6 Adolescent nutrition Webin… 925 NATAS… 2021-03-09 http… 1 Mar 2021
#> 7 Adolescent nutrition Webin… 902 NATAS… 2021-03-02 http… 2 Mar 2021
#> 8 Adolescent nutrition Webin… 890 Steph… 2021-03-03 http… 2 Mar 2021
#> 9 Adolescent nutrition Webin… 850 NATAS… 2021-03-02 http… 1 Mar 2021
#> 10 Adolescent nutrition Webin… 825 NATAS… 2021-03-04 http… 1 Mar 2021
#> # … with 3,278 more rowsArranging topics by number of views by thematic area and by year is performed as follows:
get_themes() %>%
get_themes_topics() %>%
arrange_views(by_date = "year")which results in:
#> # A tibble: 3,288 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Reach… 3358 Emily… 2018-06-18 http… 3 Jun 2018
#> 2 Adolescent nutrition adole… 3157 Anony… 2018-06-21 http… 1 Jun 2018
#> 3 Adolescent nutrition adole… 2987 Anony… 2018-06-21 http… 1 Jun 2018
#> 4 Adolescent nutrition Launc… 2956 Jo Lo… 2018-05-23 http… 0 May 2018
#> 5 Adolescent nutrition Teen/… 2943 Anne … 2018-06-19 http… 1 Jun 2018
#> 6 Adolescent nutrition Asses… 2926 Ursul… 2018-07-25 http… 3 Jul 2018
#> 7 Adolescent nutrition anthr… 2905 Emily… 2018-06-29 http… 2 Jun 2018
#> 8 Adolescent nutrition MUAC … 2827 Ikech… 2018-09-27 http… 1 Sep 2018
#> 9 Adolescent nutrition Adole… 2757 Tamsi… 2018-08-01 http… 3 Aug 2018
#> 10 Adolescent nutrition adole… 2676 Anony… 2018-07-04 http… 1 Jul 2018
#> # … with 3,278 more rowsArranging topics by number of views by thematic area overall across the years is performed as follows:
get_themes() %>%
get_themes_topics() %>%
arrange_views(by_date = "all")which results in:
#> # A tibble: 3,288 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Reach… 3358 Emily… 2018-06-18 http… 3 Jun 2018
#> 2 Adolescent nutrition adole… 3157 Anony… 2018-06-21 http… 1 Jun 2018
#> 3 Adolescent nutrition adole… 2987 Anony… 2018-06-21 http… 1 Jun 2018
#> 4 Adolescent nutrition Launc… 2956 Jo Lo… 2018-05-23 http… 0 May 2018
#> 5 Adolescent nutrition Teen/… 2943 Anne … 2018-06-19 http… 1 Jun 2018
#> 6 Adolescent nutrition Asses… 2926 Ursul… 2018-07-25 http… 3 Jul 2018
#> 7 Adolescent nutrition anthr… 2905 Emily… 2018-06-29 http… 2 Jun 2018
#> 8 Adolescent nutrition MUAC … 2827 Ikech… 2018-09-27 http… 1 Sep 2018
#> 9 Adolescent nutrition Adole… 2757 Tamsi… 2018-08-01 http… 3 Aug 2018
#> 10 Adolescent nutrition adole… 2676 Anony… 2018-07-04 http… 1 Jul 2018
#> # … with 3,278 more rowsBy default, the output of arrange_views is grouped by
thematic area. This default behaviour can be changed by setting the
by_theme argument to FALSE. For example, to
arrange the topics by number of views by month and year across all
themes:
get_themes() %>%
get_themes_topics() %>%
arrange_views(by_theme = FALSE)which results in:
#> # A tibble: 3,288 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Infant and young chi… Brea… 10372 Anony… 2010-01-07 http… 3 Jan 2010
#> 2 Announcements & Nutr… Nutr… 9462 Marie… 2010-01-05 http… NA Jan 2010
#> 3 Assessment and Surve… How … 6563 Anony… 2010-01-15 http… 2 Jan 2010
#> 4 Assessment and Surve… Inte… 10090 Tamsi… 2011-01-05 http… 10 Jan 2011
#> 5 Assessment and Surve… Calc… 8788 Ali M… 2011-01-19 http… 3 Jan 2011
#> 6 Assessment and Surve… Pros… 7089 Jeff … 2011-01-27 http… 7 Jan 2011
#> 7 Announcements & Nutr… Tech… 6279 Tamsi… 2011-01-18 http… NA Jan 2011
#> 8 Announcements & Nutr… IYCF… 6199 Aliso… 2011-01-04 http… NA Jan 2011
#> 9 Assessment and Surve… Resu… 6115 Anony… 2011-01-25 http… 2 Jan 2011
#> 10 Cross-cutting issues Tran… 6012 Anony… 2011-01-25 http… 1 Jan 2011
#> # … with 3,278 more rowsSummarising the number of topics or questions raised within the en-net online forum
by arranging them based on number of replies can proxy level of interest
to a specific topic by those participating in the forum specifically
those who provide responses and feedback to responses within the
discussion. This is facilitated using the arrange_replies
function. Ranking of topics by number of replies is done per thematic
area and by a specific time period. Ranking of topics by number of
replies by thematic area and by month and year is performed by
default:
which results in:
#> # A tibble: 1,946 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Age g… 1601 Anony… 2020-02-15 http… 1 Feb 2020
#> 2 Adolescent nutrition The E… 850 Moham… 2021-02-01 http… 0 Feb 2021
#> 3 Adolescent nutrition Webin… 1434 NATAS… 2021-03-18 http… 5 Mar 2021
#> 4 Adolescent nutrition Webin… 1923 Steph… 2021-03-11 http… 3 Mar 2021
#> 5 Adolescent nutrition Webin… 890 Steph… 2021-03-03 http… 2 Mar 2021
#> 6 Adolescent nutrition Webin… 902 NATAS… 2021-03-02 http… 2 Mar 2021
#> 7 Adolescent nutrition Webin… 774 NATAS… 2021-03-18 http… 1 Mar 2021
#> 8 Adolescent nutrition Webin… 925 NATAS… 2021-03-09 http… 1 Mar 2021
#> 9 Adolescent nutrition Webin… 1040 NATAS… 2021-03-04 http… 1 Mar 2021
#> 10 Adolescent nutrition Webin… 825 NATAS… 2021-03-04 http… 1 Mar 2021
#> # … with 1,936 more rowsArranging topics by number of replies by thematic area and by year is performed as follows:
get_themes() %>%
get_themes_topics() %>%
arrange_replies(by_date = "year")which results in:
#> # A tibble: 1,946 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Adole… 2757 Tamsi… 2018-08-01 http… 3 Aug 2018
#> 2 Adolescent nutrition Asses… 2926 Ursul… 2018-07-25 http… 3 Jul 2018
#> 3 Adolescent nutrition Reach… 3358 Emily… 2018-06-18 http… 3 Jun 2018
#> 4 Adolescent nutrition anthr… 2905 Emily… 2018-06-29 http… 2 Jun 2018
#> 5 Adolescent nutrition MUAC … 2827 Ikech… 2018-09-27 http… 1 Sep 2018
#> 6 Adolescent nutrition adole… 2676 Anony… 2018-07-04 http… 1 Jul 2018
#> 7 Adolescent nutrition adole… 3157 Anony… 2018-06-21 http… 1 Jun 2018
#> 8 Adolescent nutrition adole… 2987 Anony… 2018-06-21 http… 1 Jun 2018
#> 9 Adolescent nutrition Teen/… 2943 Anne … 2018-06-19 http… 1 Jun 2018
#> 10 Adolescent nutrition healt… 2561 Anony… 2018-06-19 http… 1 Jun 2018
#> # … with 1,936 more rowsArranging topics by number of replies by thematic area overall across the years is performed as follows:
get_themes() %>%
get_themes_topics() %>%
arrange_replies(by_date = "all")which results in:
#> # A tibble: 1,946 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Adolescent nutrition Webin… 1434 NATAS… 2021-03-18 http… 5 Mar 2021
#> 2 Adolescent nutrition Webin… 1923 Steph… 2021-03-11 http… 3 Mar 2021
#> 3 Adolescent nutrition Adole… 2757 Tamsi… 2018-08-01 http… 3 Aug 2018
#> 4 Adolescent nutrition Asses… 2926 Ursul… 2018-07-25 http… 3 Jul 2018
#> 5 Adolescent nutrition Reach… 3358 Emily… 2018-06-18 http… 3 Jun 2018
#> 6 Adolescent nutrition Webin… 890 Steph… 2021-03-03 http… 2 Mar 2021
#> 7 Adolescent nutrition Webin… 902 NATAS… 2021-03-02 http… 2 Mar 2021
#> 8 Adolescent nutrition anthr… 2905 Emily… 2018-06-29 http… 2 Jun 2018
#> 9 Adolescent nutrition Cut o… 378 Anony… 2021-08-22 http… 1 Aug 2021
#> 10 Adolescent nutrition Webin… 774 NATAS… 2021-03-18 http… 1 Mar 2021
#> # … with 1,936 more rowsBy default, the output of arrange_replies is grouped by
thematic area. This default behaviour can be changed by setting the
by_theme argument to FALSE. For example, to
arrange the topics by number of replies by month and year across all
themes:
get_themes() %>%
get_themes_topics() %>%
arrange_replies(by_theme = FALSE)which results in:
#> # A tibble: 1,946 × 9
#> Theme Topic Views Author Posted Link Replies Month Year
#> <chr> <chr> <int> <chr> <date> <chr> <int> <fct> <dbl>
#> 1 Infant and young chi… Brea… 10372 Anony… 2010-01-07 http… 3 Jan 2010
#> 2 Assessment and Surve… How … 6563 Anony… 2010-01-15 http… 2 Jan 2010
#> 3 Assessment and Surve… Inte… 10090 Tamsi… 2011-01-05 http… 10 Jan 2011
#> 4 Assessment and Surve… Pros… 7089 Jeff … 2011-01-27 http… 7 Jan 2011
#> 5 Assessment and Surve… Calc… 8788 Ali M… 2011-01-19 http… 3 Jan 2011
#> 6 Assessment and Surve… Resu… 6115 Anony… 2011-01-25 http… 2 Jan 2011
#> 7 Cross-cutting issues Tran… 6012 Anony… 2011-01-25 http… 1 Jan 2011
#> 8 Assessment and Surve… Nutr… 8966 Mary … 2012-01-01 http… 10 Jan 2012
#> 9 Upcoming trainings Regi… 6828 Yara … 2012-01-10 http… 8 Jan 2012
#> 10 Micronutrients mult… 7088 REBEC… 2012-01-18 http… 6 Jan 2012
#> # … with 1,936 more rows