The graph represents a network of 1,264 Twitter users whose recent tweets contained "#NHCW2022", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Friday, 12 August 2022 at 18:25 UTC.
The tweets in the network were tweeted over the 43-day, 4-hour, 15-minute period from Thursday, 30 June 2022 at 14:00 UTC to Friday, 12 August 2022 at 18:15 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 : 1264
Unique Edges : 842
Edges With Duplicates : 3898
Total Edges : 4740
Number of Edge Types : 8
Tweet : 941
Retweet : 1321
MentionsInRetweet : 1581
Mentions : 649
Quote : 98
MentionsInQuote : 69
Replies to : 46
MentionsInReplyTo : 35
Self-Loops : 1047
Reciprocated Vertex Pair Ratio : 0.0650847457627119
Reciprocated Edge Ratio : 0.122215149586251
Connected Components : 223
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 908
Maximum Edges in a Connected Component : 4070
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.069903
Graph Density : 0.000984069474929092
Modularity : 0.301254
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 1,264 Twitter users whose recent tweets contained "#NHCW2022", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 20,000 tweets. The network was obtained from Twitter on Friday, 12 August 2022 at 18:25 UTC.
The tweets in the network were tweeted over the 43-day, 4-hour, 15-minute period from Thursday, 30 June 2022 at 14:00 UTC to Friday, 12 August 2022 at 18:15 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 : TwitterSearch
Graph Term : #NHCW2022
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 : In-Degree
Vertex X : Column1
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1210] health,center [1185] health,centers [863] center,week [841] national,health [796] community,health [474] #nhcw2022,#valuechcs [256] health,care [218] #valuechcs,#nhcw2022 [164] appreciation,day [162] hcadvocacy,community Top Word Pairs in Tweet in G1:
[234] health,centers [224] community,health [167] health,center [129] center,week [123] national,health [81] hcadvocacy,community [80] #valuechcs,#nhcw2022 [62] #nhcw2022,#valuechcs [36] health,care [36] enabling,services Top Word Pairs in Tweet in G2:
[142] health,center [109] national,health [108] center,week [108] health,centers [106] #nhcw2022,#valuechcs [62] community,health [29] learn,more [25] appreciation,day [20] annual,celebration [18] mission,accomplishments Top Word Pairs in Tweet in G3:
[121] health,centers [79] health,center [41] national,health [41] center,week [31] hrsagov,health [29] health,care [26] centers,meet [26] meet,people [26] people,whether [26] whether,door Top Word Pairs in Tweet in G4:
[129] health,centers [68] health,center [66] community,health [49] center,week [47] national,health [18] #nhcw2022,#valuechcs [15] hcadvocacy,community [14] health,care [14] patients,community [14] centers,drive Top Word Pairs in Tweet in G5:
[90] health,center [68] #nhcw2022,#valuechcs [64] national,health [64] center,week [60] health,centers [56] community,health [25] appreciation,day [24] health,care [16] patient,appreciation [13] august,13 Top Word Pairs in Tweet in G6:
[40] health,center [38] national,health [37] center,week [34] health,care [30] homeless,day [29] care,homeless [28] today,health [22] day,important [22] important,day [22] day,national Top Word Pairs in Tweet in G7:
[96] health,centers [93] health,center [85] community,health [77] national,health [72] center,week [29] #nhcw2022,#valuechcs [23] hcadvocacy,community [18] #valuechcs,#nhcw2022 [15] celebrating,national [12] #nhcw2022chat,#valuechcs Top Word Pairs in Tweet in G8:
[24] national,health [23] health,center [22] center,week [15] #nhcw2022,#valuechcs [12] health,centers [8] community,health [8] week,aug [8] aug,13 [6] housing,healthcare [6] healthcare,housing Top Word Pairs in Tweet in G9:
[30] health,center [19] center,week [14] #nhcw2022,#valuechcs [13] natl,health [12] massleague,nachc [11] during,natl [11] week,honor [11] honor,staff [11] staff,nominated [11] nominated,peers Top Word Pairs in Tweet in G10:
[29] health,center [27] health,centers [22] national,health [22] center,week [17] ucla,health [10] southern,nevada [9] #nationalhealthcenterweek,recognize [9] recognize,health [9] centers,america [9] america,work Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10: