The graph represents a network of 36 Twitter users whose tweets in the requested range contained "cultureofhealth", 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 23:10 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 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 13-day, 8-hour, 13-minute period from Wednesday, 13 May 2020 at 14:42 UTC to Tuesday, 26 May 2020 at 22:56 UTC.
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 : 36
Unique Edges : 35
Edges With Duplicates : 37
Total Edges : 72
Number of Edge Types : 5
Mentions : 15
Retweet : 17
MentionsInRetweet : 30
Tweet : 9
Replies to : 1
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0.179487179487179
Reciprocated Edge Ratio : 0.304347826086957
Connected Components : 10
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 16
Maximum Edges in a Connected Component : 35
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.91875
Graph Density : 0.0365079365079365
Modularity : 0.489535
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 36 Twitter users whose tweets in the requested range contained "cultureofhealth", 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 23:10 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 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 13-day, 8-hour, 13-minute period from Wednesday, 13 May 2020 at 14:42 UTC to Tuesday, 26 May 2020 at 22:56 UTC.
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 : cultureofhealth
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:
[11] grateful,part [11] part,tihcer [11] tihcer,community [11] community,cspfellows [11] cspfellows,brighamwomens [11] brighamwomens,ariadnelabs [11] ariadnelabs,working [11] working,expand [11] nomi_nyc,grateful [11] expand,#traumainfor Top Word Pairs in Tweet in G3:
[4] collaboration,rwjf [4] rwjf,here's [4] here's,handy [4] handy,tool [4] tool,help [4] help,establish [4] establish,#cultureofhealth [4] #cultureofhealth,work [3] work,result Top Word Pairs in Tweet in G4:
[2] health,political [2] political,milt [2] milt,kotelchuck [2] kotelchuck,tonight's [2] tonight's,jp [2] jp,progressives [2] progressives,forum [2] forum,suffers [2] suffers,diseases [] moniquewching,health Top Word Pairs in Tweet in G5:
[3] culture,health Top Word Pairs in Tweet in G6:
Top Word Pairs in Tweet in G7:
[] #resilience,#equity [] #equity,#community [] #community,#healthequity [] #healthequity,#collaboration [] #collaboration,#ruralhealth [] #ruralhealth,#cultureofhealth Top Word Pairs in Tweet in G8:
Top Replied-To in Entire Graph:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
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: