The graph represents a network of 7,427 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, 26 September 2021 at 03:38 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 5-hour, 31-minute period from Monday, 20 September 2021 at 22:54 UTC to Saturday, 25 September 2021 at 04:26 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 : 7427
Unique Edges : 4443
Edges With Duplicates : 10389
Total Edges : 14832
Number of Edge Types : 5
Retweet : 4277
MentionsInRetweet : 5254
Replies to : 1589
Mentions : 2056
Tweet : 1656
Self-Loops : 1688
Reciprocated Vertex Pair Ratio : 0.0482988659106071
Reciprocated Edge Ratio : 0.0921471299478172
Connected Components : 1496
Single-Vertex Connected Components : 645
Maximum Vertices in a Connected Component : 3177
Maximum Edges in a Connected Component : 7772
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.321633
Graph Density : 0.000142458505628589
Modularity : 0.520327
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,427 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, 26 September 2021 at 03:38 UTC.
The requested start date was Sunday, 26 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 5-hour, 31-minute period from Monday, 20 September 2021 at 22:54 UTC to Saturday, 25 September 2021 at 04:26 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 Entire Graph:
[1613] nursing,midwifery [1171] midwifery,federation [1168] australian,nursing [1150] victorian,branch [1050] branch,australian [1045] strong,statement [1044] statement,victorian [1044] federation,calling [1044] calling,protesters [1043] benitakolovos,strong Top Word Pairs in Tweet in G1:
[1020] nursing,midwifery [1018] australian,nursing [1018] midwifery,federation [1015] victorian,branch [1015] branch,australian [1014] strong,statement [1013] statement,victorian [1013] federation,calling [1013] calling,protesters [1012] benitakolovos,strong Top Word Pairs in Tweet in G2:
[332] shortage,panic [84] cool,cool [83] milkshake,shortage [83] panic,chicken [83] chicken,shortage [83] panic,co2 [83] co2,shortage [83] panic,fuel [83] fuel,shortage [83] panic,midwife Top Word Pairs in Tweet in G3:
[86] call,midwife [38] nursing,midwifery [26] nurse,midwife [15] #bidan,#kebidanan [15] #kebidanan,#midwife [15] #bidan,#midwife [12] #peing,#質問箱 [11] retired,midwife [11] ablakwa,gifts [11] gifts,hardworking Top Word Pairs in Tweet in G4:
[86] nursing,midwifery [52] midwifery,innovator [52] innovator,nhs [52] nhs,idea [52] idea,keen [52] keen,develop [52] develop,scale [52] scale,improve [51] teamcno_,nursing [51] improve,patie Top Word Pairs in Tweet in G5:
[92] love,seeing [92] seeing,somali [92] somali,muslim [92] muslim,women [92] women,obstetrics [92] obstetrics,midwifery [92] midwifery,newborn [92] newborn,delivered [92] delivered,somali [92] somali,woman Top Word Pairs in Tweet in G6:
[31] investing,midwifery [31] remains,best [31] maternal,newborn [31] newborn,health [29] midwifery,remains [29] best,buy [29] buy,maternal [29] health,more [28] more,efficient [26] efficient,use Top Word Pairs in Tweet in G7:
[89] delighted,share [89] share,news [89] news,safe [89] safe,arrival [89] arrival,daughter [89] daughter,saturday [89] saturday,18th [89] 18th,september [89] september,2021 [89] 2021,23 Top Word Pairs in Tweet in G8:
[133] nursing,midwifery [116] midwifery,union [115] interesting,fact [114] fact,building [114] building,opposite [114] opposite,#cfmmeu [114] #cfmmeu,#melbourne [114] #melbourne,hq [114] hq,nursing [114] union,whose Top Word Pairs in Tweet in G9:
[117] nursing,midwifery [107] australian,nursing [107] midwifery,federation [107] victorian,branch [98] political_alert,australian [98] federation,victorian [98] branch,calling [98] calling,city [98] city,protesters [98] protesters,stop Top Word Pairs in Tweet in G10:
[92] thursday,magic [92] magic,marie [92] marie,catherine [92] catherine,laveau [92] laveau,september [92] september,10 [92] 10,1801 [92] 1801,june [92] june,15 [92] 15,1881 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: