Tweet
window.twttr = (function (d, s, id) { var js, fjs = d.getElementsByTagName(s)[0], t = window.twttr || {}; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "https://platform.twitter.com/widgets.js"; fjs.parentNode.insertBefore(js, fjs); t._e = []; t.ready = function (f) { t._e.push(f); }; return t; } (document, "script", "twitter-wjs"));

#FutureNursing_2020-09-16_05-55-41.xlsx

From:

NodeXLExcelAutomator

Uploaded on:

September 16, 2020

Short Description:

#FutureNursing via NodeXL https://bit.ly/2ZIqP1f

@thefawoleisrael

@janeeball

@keithcouper

@nursingpolicy

@ayoolowosile

@timilehineburu

@kessywealth

@carecity4

@jibrinsanimusa1

@bounmey

Top hashtags:

#futurenursing

#healthtechnology

#iomt

#retention

#tacklingstressors

Tweet
window.twttr = (function (d, s, id) { var js, fjs = d.getElementsByTagName(s)[0], t = window.twttr || {}; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "https://platform.twitter.com/widgets.js"; fjs.parentNode.insertBefore(js, fjs); t._e = []; t.ready = function (f) { t._e.push(f); }; return t; } (document, "script", "twitter-wjs"));

@thefawoleisrael

@janeeball

@keithcouper

@nursingpolicy

@ayoolowosile

@timilehineburu

@kessywealth

@carecity4

@jibrinsanimusa1

@bounmey

Top hashtags:

#futurenursing

#healthtechnology

#iomt

#retention

#tacklingstressors

Tweet

Description:

The graph represents a network of 34 Twitter users whose tweets in the requested range contained "#FutureNursing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 12:57 UTC.

The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 31-day, 1-hour, 14-minute period from Wednesday, 29 July 2020 at 16:31 UTC to Saturday, 29 August 2020 at 17:46 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 31-day, 1-hour, 14-minute period from Wednesday, 29 July 2020 at 16:31 UTC to Saturday, 29 August 2020 at 17:46 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Vertices : 34

Unique Edges : 27

Edges With Duplicates : 50

Total Edges : 77

Number of Edge Types : 5

Retweet : 24

MentionsInRetweet : 40

Tweet : 2

Mentions : 8

Replies to : 3

Self-Loops : 2

Reciprocated Vertex Pair Ratio : 0.0666666666666667

Reciprocated Edge Ratio : 0.125

Connected Components : 4

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 20

Maximum Edges in a Connected Component : 46

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.688976

Graph Density : 0.0427807486631016

Modularity : 0.429288

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 34 Twitter users whose tweets in the requested range contained "#FutureNursing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 12:57 UTC.

The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 31-day, 1-hour, 14-minute period from Wednesday, 29 July 2020 at 16:31 UTC to Saturday, 29 August 2020 at 17:46 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Graph Source : GraphServerTwitterSearch

Graph Term : #FutureNursing

Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Edge Color : Edge Weight

Edge Width : Edge Weight

Edge Alpha : Edge Weight

Vertex Radius : Betweenness Centrality

Unique Edges : 27

Edges With Duplicates : 50

Total Edges : 77

Number of Edge Types : 5

Retweet : 24

MentionsInRetweet : 40

Tweet : 2

Mentions : 8

Replies to : 3

Self-Loops : 2

Reciprocated Vertex Pair Ratio : 0.0666666666666667

Reciprocated Edge Ratio : 0.125

Connected Components : 4

Single-Vertex Connected Components : 0

Maximum Vertices in a Connected Component : 20

Maximum Edges in a Connected Component : 46

Maximum Geodesic Distance (Diameter) : 2

Average Geodesic Distance : 1.688976

Graph Density : 0.0427807486631016

Modularity : 0.429288

NodeXL Version : 1.0.1.440

Data Import : The graph represents a network of 34 Twitter users whose tweets in the requested range contained "#FutureNursing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 12:57 UTC.

The requested start date was Wednesday, 16 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 31-day, 1-hour, 14-minute period from Wednesday, 29 July 2020 at 16:31 UTC to Saturday, 29 August 2020 at 17:46 UTC.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

Graph Source : GraphServerTwitterSearch

Graph Term : #FutureNursing

Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Edge Color : Edge Weight

Edge Width : Edge Weight

Edge Alpha : Edge Weight

Vertex Radius : Betweenness Centrality

@thefawoleisrael | |

Follow |

@janeeball | |

Follow |

@keithcouper | |

Follow |

@nursingpolicy | |

Follow |

@ayoolowosile | |

Follow |

@timilehineburu | |

Follow |

@kessywealth | |

Follow |

@carecity4 | |

Follow |

@jibrinsanimusa1 | |

Follow |

@bounmey | |

Follow |

Top Hashtags in Tweet in Entire Graph:

[5] futurenursing

[1] healthtechnology

[1] iomt

[1] retention

[1] tacklingstressors

[1] tna

Tweetwindow.twttr = (function (d, s, id) { var js, fjs = d.getElementsByTagName(s)[0], t = window.twttr || {}; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = 'https://platform.twitter.com/widgets.js'; fjs.parentNode.insertBefore(js, fjs); t._e = []; t.ready = function (f) { t._e.push(f); }; return t; } (document, 'script', 'twitter-wjs'));

Top Hashtags in Tweet in G1:

[2] futurenursing

[1] healthtechnology

[1] iomt

Top Hashtags in Tweet in G2:

[1] futurenursing

[1] retention

[1] tacklingstressors

Top Hashtags in Tweet in G3:

[1] futurenursing

Top Hashtags in Tweet in G4:

[1] tna

[1] futurenursing

[5] futurenursing

[1] healthtechnology

[1] iomt

[1] retention

[1] tacklingstressors

[1] tna

Tweet

Top Hashtags in Tweet in G1:

[2] futurenursing

[1] healthtechnology

[1] iomt

Top Hashtags in Tweet in G2:

[1] futurenursing

[1] retention

[1] tacklingstressors

Top Hashtags in Tweet in G3:

[1] futurenursing

Top Hashtags in Tweet in G4:

[1] tna

[1] futurenursing

Top Words in Tweet in Entire Graph:

[22] thefawoleisrael

[16] great

[15] work

[14] erudition

[14] nurse

[14] david

[14] ogunlabi

[14] outstanding

[14] inkling

[14] potentials

Top Words in Tweet in G1:

[22] thefawoleisrael

[14] great

[14] erudition

[14] work

[14] nurse

[14] david

[14] ogunlabi

[14] outstanding

[14] inkling

[14] potentials

Top Words in Tweet in G2:

[3] keithcouper

[3] rcnresearchsoc

[3] nursingpolicy

[3] nursingnotesuk

[3] julessanders2

[3] ctandrmt

[3] wenurses

[3] wemidwives

[3] bridiekent

[2] janeeball

[22] thefawoleisrael

[16] great

[15] work

[14] erudition

[14] nurse

[14] david

[14] ogunlabi

[14] outstanding

[14] inkling

[14] potentials

Top Words in Tweet in G1:

[22] thefawoleisrael

[14] great

[14] erudition

[14] work

[14] nurse

[14] david

[14] ogunlabi

[14] outstanding

[14] inkling

[14] potentials

Top Words in Tweet in G2:

[3] keithcouper

[3] rcnresearchsoc

[3] nursingpolicy

[3] nursingnotesuk

[3] julessanders2

[3] ctandrmt

[3] wenurses

[3] wemidwives

[3] bridiekent

[2] janeeball

Top Word Pairs in Tweet in Entire Graph:

[14] great,erudition

[14] erudition,work

[14] work,nurse

[14] nurse,david

[14] david,ogunlabi

[14] ogunlabi,outstanding

[14] outstanding,inkling

[14] inkling,potentials

[14] potentials,locked

[13] thefawoleisrael,great

Top Word Pairs in Tweet in G1:

[14] great,erudition

[14] erudition,work

[14] work,nurse

[14] nurse,david

[14] david,ogunlabi

[14] ogunlabi,outstanding

[14] outstanding,inkling

[14] inkling,potentials

[14] potentials,locked

[13] thefawoleisrael,great

Top Word Pairs in Tweet in G2:

[3] keithcouper,rcnresearchsoc

[3] rcnresearchsoc,nursingpolicy

[3] nursingpolicy,nursingnotesuk

[3] nursingnotesuk,julessanders2

[3] julessanders2,ctandrmt

[3] ctandrmt,wenurses

[3] wenurses,wemidwives

[3] wemidwives,bridiekent

[2] janeeball,keithcouper

[2] bridiekent,impor

[14] great,erudition

[14] erudition,work

[14] work,nurse

[14] nurse,david

[14] david,ogunlabi

[14] ogunlabi,outstanding

[14] outstanding,inkling

[14] inkling,potentials

[14] potentials,locked

[13] thefawoleisrael,great

Top Word Pairs in Tweet in G1:

[14] great,erudition

[14] erudition,work

[14] work,nurse

[14] nurse,david

[14] david,ogunlabi

[14] ogunlabi,outstanding

[14] outstanding,inkling

[14] inkling,potentials

[14] potentials,locked

[13] thefawoleisrael,great

Top Word Pairs in Tweet in G2:

[3] keithcouper,rcnresearchsoc

[3] rcnresearchsoc,nursingpolicy

[3] nursingpolicy,nursingnotesuk

[3] nursingnotesuk,julessanders2

[3] julessanders2,ctandrmt

[3] ctandrmt,wenurses

[3] wenurses,wemidwives

[3] wemidwives,bridiekent

[2] janeeball,keithcouper

[2] bridiekent,impor

Top Replied-To in Entire Graph:

Top Replied-To in G2:

Top Replied-To in G3:

Top Replied-To in G4:

@keithcouper | ||

@cnoengland | ||

@sharonellmore | ||

Top Replied-To in G2:

@keithcouper | ||

Top Replied-To in G3:

@cnoengland | ||

Top Replied-To in G4:

@sharonellmore | ||

Top Mentioned in Entire Graph:

Top Mentioned in G1:

Top Mentioned in G2:

@thefawoleisrael | ||

@rcnresearchsoc | ||

@nursingpolicy | ||

@nursingnotesuk | ||

@julessanders2 | ||

@ctandrmt | ||

@wenurses | ||

@wemidwives | ||

@bridiekent | ||

@janeeball | ||

Top Mentioned in G1:

@thefawoleisrael | ||

Top Mentioned in G2:

@rcnresearchsoc | ||

@nursingpolicy | ||

@nursingnotesuk | ||

@julessanders2 | ||

@ctandrmt | ||

@wenurses | ||

@wemidwives | ||

@bridiekent | ||

@janeeball | ||

@keithcouper | ||

Top Tweeters in Entire Graph:

Top Tweeters in G1:

Top Tweeters in G2:

Top Tweeters in G3:

Top Tweeters in G4:

@wenurses | ||

@timilehineburu | ||

@wemidwives | ||

@proudnursemj | ||

@datt_colette | ||

@cnoengland | ||

@lumioflagos | ||

@bridiekent | ||

@janeeball | ||

@adaerema | ||

Top Tweeters in G1:

@timilehineburu | ||

@proudnursemj | ||

@lumioflagos | ||

@adaerema | ||

@olaleyejemimah | ||

@bounmey | ||

@kessywealth | ||

@ben_elohimrn | ||

@ayoolowosile | ||

@teejaeylove | ||

Top Tweeters in G2:

@wenurses | ||

@wemidwives | ||

@bridiekent | ||

@janeeball | ||

@ctandrmt | ||

@nursingnotesuk | ||

@nursingpolicy | ||

@rcnresearchsoc | ||

@julessanders2 | ||

@keithcouper | ||

Top Tweeters in G3:

@datt_colette | ||

@cnoengland | ||

Top Tweeters in G4:

@karenpudge | ||

@sharonellmore | ||