The graph represents a network of 6,052 Twitter users whose tweets in the requested range contained "midwife OR midwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 May 2020 at 06:07 UTC.
The requested start date was Sunday, 24 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 6-hour, 21-minute period from Wednesday, 20 May 2020 at 02:20 UTC to Saturday, 23 May 2020 at 08:41 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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.
Author Description
Vertices : 6052
Unique Edges : 4382
Edges With Duplicates : 6638
Total Edges : 11020
Number of Edge Types : 5
Retweet : 2735
MentionsInRetweet : 3693
Replies to : 938
Mentions : 2360
Tweet : 1294
Self-Loops : 1335
Reciprocated Vertex Pair Ratio : 0.0367586995588956
Reciprocated Edge Ratio : 0.0709108099590293
Connected Components : 1428
Single-Vertex Connected Components : 593
Maximum Vertices in a Connected Component : 2128
Maximum Edges in a Connected Component : 5474
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.655344
Graph Density : 0.000173290197017792
Modularity : 0.584109
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,052 Twitter users whose tweets in the requested range contained "midwife OR midwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 May 2020 at 06:07 UTC.
The requested start date was Sunday, 24 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 6-hour, 21-minute period from Wednesday, 20 May 2020 at 02:20 UTC to Saturday, 23 May 2020 at 08:41 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : midwife OR midwifery
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
Top Domains
Top Word Pairs in Tweet in G2:
[74] blood,pressure [47] #worldpreeclampsiaday,#checkknowshare [31] maternity,midwifery [23] saw,woman [16] woman,home [12] home,yesterday [11] yesterday,upset [11] upset,words [10] words,failure [10] failure,progress Top Word Pairs in Tweet in G3:
[34] nursing,midwifery [31] midwifery,student [25] student,tna [23] tna,re [23] re,launching [23] launching,newsletter [23] newsletter,students [23] students,help [23] help,understand [23] nmcnews,nursing Top Word Pairs in Tweet in G4:
[73] nurse,midwife [64] year,nurse [62] 2020,year [62] icn,president [62] president,annettemkennedy [62] annettemkennedy,drtedros [62] drtedros,#wha73 [62] #wha73,opening [62] opening,speech [61] speech,sadly Top Word Pairs in Tweet in G5:
[38] thing,stranger [35] stranger,man [22] man,documenting [21] documenting,sex [21] sex,doll [21] doll,givig [21] givig,birth [21] birth,mother [21] mother,midwife [21] rose_of_dawn,thing Top Word Pairs in Tweet in G6:
[119] pregnant,homeless [119] homeless,covid [119] covid,positive [119] positive,story [119] story,one [119] one,toronto [119] toronto,woman [119] woman,midwife [119] midwife,helped [118] helped,reasons Top Word Pairs in Tweet in G7:
[135] antenatal,appointments [135] pregnant,important [135] attend,antenatal [135] important,still [135] still,attend [135] appointments,continue [135] continue,seek [135] seek,advice [135] nhsuk,pregnant [135] advice,midw Top Word Pairs in Tweet in G8:
[87] maternity,ward [84] one,week [84] week,ago [82] 2020,mothers [82] mothers,babies [82] babies,young [82] young,children [82] children,killed [55] killed,vicious [55] vicious,attack Top Word Pairs in Tweet in G9:
[120] nurse,midwife [119] african,american [119] senior,nurse [119] midwife,holding [119] holding,honorary [119] honorary,visiting [119] visiting,professorial [119] professorial,appointment [119] appointment,calling [119] love,labor Top Word Pairs in Tweet in G10:
[17] week,ago [15] barbaric,attack [14] attack,maternity [14] one,week [14] ago,12 [14] 12,2020 [14] dasht,barchi [14] maternity,ward [14] killed,barbaric [13] ward,dasht Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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