The graph represents a network of 51 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 27 May 2020 at 13:08 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 52-day, 7-hour, 45-minute period from Tuesday, 03 March 2020 at 13:12 UTC to Friday, 24 April 2020 at 20:58 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 : 51
Unique Edges : 89
Edges With Duplicates : 104
Total Edges : 193
Number of Edge Types : 5
MentionsInRetweet : 104
Replies to : 6
Mentions : 60
Retweet : 22
Tweet : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0.111111111111111
Reciprocated Edge Ratio : 0.2
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 44
Maximum Edges in a Connected Component : 185
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.489297
Graph Density : 0.0509803921568627
Modularity : 0.338526
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 51 Twitter users whose tweets in the requested range contained "#FutureMidwifery", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 27 May 2020 at 13:08 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 52-day, 7-hour, 45-minute period from Tuesday, 03 March 2020 at 13:12 UTC to Friday, 24 April 2020 at 20:58 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 : #FutureMidwifery
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:
[6] bevmatthewsrn,midwife_claire [6] midwife_claire,newcastlehosps [5] newcastlehosps,janeand24167350 [4] janeand24167350,teamcmido [4] teamcmido,mcushlow [4] mcushlow,jessreadmidwife [4] jessreadmidwife,benashnaz Top Word Pairs in Tweet in G3:
[3] huge,thanks [2] thanks,wba [2] wba,giving [2] giving,swbhcmws [2] swbhcmws,venue [2] venue,additional [2] additional,clinics [] clinics,continue [] continue,offer [] offer,safe Top Word Pairs in Tweet in G4:
[7] great,see [7] huge,thank [7] thank,jonathancliffe8 [7] jonathancliffe8,offering [7] offering,advice [7] advice,guidance [7] guidance,students [7] students,during [7] during,nhs [7] nhs,careers Top Word Pairs in Tweet in G5:
[4] great,davidharling1 [3] davidharling1,please [3] please,keep [3] keep,creating [3] creating,#futurenursing [3] #futurenursing,#futuremidwifery [3] #futuremidwifery,bevmatthews_ [3] bevmatthews_,paulnvaughan Top Word Pairs in Tweet in G6:
Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: