The graph represents a network of 32 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 Friday, 15 November 2019 at 21:49 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 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 12-day, 4-hour, 8-minute period from Friday, 01 November 2019 at 13:14 UTC to Wednesday, 13 November 2019 at 17:23 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 : 32
Unique Edges : 57
Edges With Duplicates : 2
Total Edges : 59
Number of Edge Types : 3
Mentions : 52
Tweet : 4
Replies to : 3
Self-Loops : 4
Reciprocated Vertex Pair Ratio : 0.0576923076923077
Reciprocated Edge Ratio : 0.109090909090909
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 27
Maximum Edges in a Connected Component : 54
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.472973
Graph Density : 0.0554435483870968
Modularity : 0.540721
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 32 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 Friday, 15 November 2019 at 21:49 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 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 12-day, 4-hour, 8-minute period from Friday, 01 November 2019 at 13:14 UTC to Wednesday, 13 November 2019 at 17:23 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5] thank,those [5] those,attendance [5] attendance,mornings [5] mornings,#csahsfall2019 [5] #csahsfall2019,csahq [5] csahq,pbld [5] pbld,managing [5] managing,obstetric [5] obstetric,hemorrhage [5] hemorrhage,make Top Word Pairs in Tweet in G1:
[3] blkmamasmatter,acnmmidwives [3] acnmmidwives,awhonn [3] awhonn,ucsfnurse [3] ucsfnurse,ucsfbixby [2] ivaphd,cmqcc [2] cmqcc,jasminerjohnson [2] jasminerjohnson,blkmamasmatter Top Word Pairs in Tweet in G2:
[2] agree,neel_shah [2] neel_shah,evidence [2] evidence,clinical [2] clinical,practices [2] practices,primary [2] primary,drivers [2] drivers,overuse [2] overuse,#cesareans Top Word Pairs in Tweet in G3:
[3] check,out [2] a4,cmqcc [2] cmqcc,finished [2] finished,adding [2] adding,tools [2] tools,address [2] address,implicit [2] implicit,bias [2] bias,#cardioobstetrics [2] #cardioobstetrics,#nmcchat Top Word Pairs in Tweet in G4:
[5] thank,those [5] those,attendance [5] attendance,mornings [5] mornings,#csahsfall2019 [5] #csahsfall2019,csahq [5] csahq,pbld [5] pbld,managing [5] managing,obstetric [5] obstetric,hemorrhage [5] hemorrhage,make Top Word Pairs in Tweet in G6:
[3] riskassessment,tools [2] evaluation,riskassessment [2] tools,severe [2] severe,postpartum [2] postpartum,hemorrhage [2] hemorrhage,women [2] women,undergoing [2] undergoing,cesarean [2] cesarean,delivery [2] delivery,examine Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 Mentioned in G6:
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: