The graph represents a network of 43 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, 27 January 2022 at 20:51 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 9-day, 15-hour, 24-minute period from Friday, 14 January 2022 at 01:00 UTC to Sunday, 23 January 2022 at 16:24 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 : 43
Unique Edges : 71
Edges With Duplicates : 110
Total Edges : 181
Number of Edge Types : 5
Retweet : 15
MentionsInRetweet : 51
Mentions : 105
Replies to : 9
Tweet : 1
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0480769230769231
Reciprocated Edge Ratio : 0.0917431192660551
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 43
Maximum Edges in a Connected Component : 181
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.405625
Graph Density : 0.0603543743078627
Modularity : 0.296618
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 43 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, 27 January 2022 at 20:51 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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 9-day, 15-hour, 24-minute period from Friday, 14 January 2022 at 01:00 UTC to Sunday, 23 January 2022 at 16:24 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] join,uclaobgynedu [7] uclaobgynedu,#cardioob [7] #cardioob,12 [7] 12,22 [7] 22,virtual [7] virtual,symposium [7] symposium,improving [7] improving,outcomes [7] outcomes,pregnant [7] pregnant,patients Top Word Pairs in Tweet in G1:
[7] cmqcc,yafshar [7] yafshar,acog [7] acog,mysmfm [7] ahauspurg,pramsey2012 [7] pramsey2012,runa123 [7] runa123,mariamnaqvi [6] this0499154500,cmqcc [5] mysmfm,mfmsperling [4] azwildcat21,this0499154500 [4] mfmsperling,ahauspurg Top Word Pairs in Tweet in G2:
[3] sign,today [2] miss,dr [2] dr,kewatson [2] kewatson,speaking [2] speaking,hypertensive [2] hypertensive,disease [2] disease,pregnancy [2] pregnancy,future [2] future,cardiovascular [2] cardiovascular,health Top Word Pairs in Tweet in G3:
[6] join,uclaobgynedu [6] uclaobgynedu,#cardioob [6] #cardioob,12 [6] 12,22 [6] 22,virtual [6] virtual,symposium [6] symposium,improving [6] improving,outcomes [6] outcomes,pregnant [6] pregnant,patients Top Word Pairs in Tweet in G4:
[2] theme,texaspqc [2] texaspqc,2022 [2] 2022,summit [2] summit,addressing [2] addressing,patient [2] patient,centered [2] centered,care [2] care,qi [2] qi,work [2] work,register Top Word Pairs in Tweet in G5:
[2] kpobgyndoc,cmqcc [2] thank,super [2] super,ncal [2] ncal,wide [2] wide,blood [2] blood,shortage [2] shortage,joke [2] joke,consequences [2] consequences,#maternalhealth [2] #maternalhealth,cmqcc Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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: