The graph represents a network of 85 Twitter users whose tweets in the requested range contained "cmqcc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 10 June 2021 at 19:51 UTC.
The requested start date was Thursday, 10 June 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 13-day, 4-hour, 1-minute period from Thursday, 27 May 2021 at 14:58 UTC to Wednesday, 09 June 2021 at 19:00 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 : 85
Unique Edges : 87
Edges With Duplicates : 101
Total Edges : 188
Number of Edge Types : 5
Tweet : 2
Mentions : 129
Replies to : 8
Retweet : 15
MentionsInRetweet : 34
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0569105691056911
Reciprocated Edge Ratio : 0.107692307692308
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 79
Maximum Edges in a Connected Component : 177
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 3.037546
Graph Density : 0.0182072829131653
Modularity : 0.494313
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 85 Twitter users whose tweets in the requested range contained "cmqcc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 10 June 2021 at 19:51 UTC.
The requested start date was Thursday, 10 June 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 13-day, 4-hour, 1-minute period from Thursday, 27 May 2021 at 14:58 UTC to Wednesday, 09 June 2021 at 19:00 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 : cmqcc
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:
[7] quality,care [6] california,maternal [6] maternal,quality [5] emilyvangompel,cmqcc's [5] culture,facilitates [5] facilitates,change [5] reducing,unnecessary [5] summarize,study [5] study,jama_current [5] jama_current,reporting Top Word Pairs in Tweet in G1:
[3] thatmamaclub,kanelow [3] kanelow,cmqcc [3] cmqcc,4thtriproject [2] alison_morton2,ihealthvisiting [2] ihealthvisiting,thercn [2] thercn,brianwebster18 [2] brianwebster18,bjnursing [2] bjnursing,150leaders [2] 150leaders,burdetttrust [2] burdetttrust,aburnett_rm Top Word Pairs in Tweet in G2:
[5] emilyvangompel,cmqcc's [5] culture,facilitates [5] facilitates,change [4] job,opportunity [4] opportunity,recent [4] recent,mph [4] mph,grads [4] grads,similar [4] similar,program [4] program,manager Top Word Pairs in Tweet in G3:
[2] one,those Top Word Pairs in Tweet in G4:
[3] study,led [3] led,stanford [3] school,medicine [3] medicine,california [3] california,maternal [3] maternal,quality [3] quality,care [3] stanfordmed,cmqcc [2] section,observational [2] observational,study Top Word Pairs in Tweet in G5:
[5] reducing,unnecessary [5] summarize,study [5] study,jama_current [5] jama_current,reporting [5] reporting,cmqcc [5] cmqcc,program [5] program,statewide [3] theobgproject,reducing [3] statewide,qual [3] unnecessary,sections Top Word Pairs in Tweet in G6:
[3] brookswalsh,edbuggie [3] edbuggie,matters [3] matters,less [3] less,call [3] call,variations [3] variations,same [3] same,theme [3] theme,microvascular [3] microvascular,dysfx [2] drladyheart,brookswalsh Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: