The graph represents a network of 108 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 October 2021 at 17:56 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 19-hour, 36-minute period from Wednesday, 20 October 2021 at 01:23 UTC to Sunday, 24 October 2021 at 21:00 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 : 108
Unique Edges : 61
Edges With Duplicates : 679
Total Edges : 740
Number of Edge Types : 5
Retweet : 131
MentionsInRetweet : 179
Mentions : 174
Replies to : 127
Tweet : 129
Self-Loops : 129
Reciprocated Vertex Pair Ratio : 0.14792899408284
Reciprocated Edge Ratio : 0.257731958762887
Connected Components : 14
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 93
Maximum Edges in a Connected Component : 718
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.724273
Graph Density : 0.0167878158532364
Modularity : 0.164079
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 108 Twitter users whose tweets in the requested range contained "#HealthXPh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 October 2021 at 17:56 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 19-hour, 36-minute period from Wednesday, 20 October 2021 at 01:23 UTC to Sunday, 24 October 2021 at 21:00 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 : #HealthXPh
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:
[22] healthcare,professionals [18] theskinsensei,#healthxph [17] stephmiaco,jaifredlopez [16] tweet,chat [15] #healthxph,tweet [14] #healthxph,reason [14] reason,nightmare [14] nightmare,hcws [14] hcws,remained [14] remained,neutral Top Word Pairs in Tweet in G1:
[7] t1,healthcare [7] healthcare,industry [7] industry,active [7] active,comes [7] comes,politics [7] politics,pandemic [7] pandemic,taught [6] #healthxph,featuring [6] healthxph,dd_invest [6] giasison,t1 Top Word Pairs in Tweet in G2:
[17] theskinsensei,#healthxph [13] #healthxph,reason [13] reason,nightmare [13] nightmare,hcws [13] hcws,remained [13] remained,neutral [13] neutral,force [6] #healthxph,health [6] health,political [6] political,talk Top Word Pairs in Tweet in G3:
[14] tweet,chat [13] #healthxph,tweet [9] healthcare,professionals [8] talk,politics [6] professionals,talk [5] join,#healthxph [5] endocrine_witch,healthcare [5] giasison,bonedoc [5] stephmiaco,jaifredlopez [4] politics,join Top Word Pairs in Tweet in G4:
[9] teddybird,endocrine_witch [9] stephmiaco,jaifredlopez [8] giasison,bonedoc [8] bonedoc,stephmiaco [7] social,media [7] endocrine_witch,giasison [6] drhenry4,teddybird [6] anzypanzywanzy,endocrine_witch [6] cebumd,endocrine_witch [6] helenvmadamba,teddybird Top Word Pairs in Tweet in G5:
[6] health,itself [6] itself,political [6] political,social [6] social,origins [6] origins,poor [6] poor,health [6] health,require [6] require,social [6] social,political [6] political,solutions Top Word Pairs in Tweet in G6:
[3] talk,politics [2] t1,yes [2] take,interest [2] healthy,conversation [2] healthcare,professionals [2] #healthxph,#halalan2022 Top Word Pairs in Tweet in G7:
[5] t1,citizen [5] citizen,within [5] within,right [5] right,government [5] government,physicians [5] physicians,allowed [5] allowed,express [4] hellokidneymd,t1 [4] express,politic [3] endocrine_witch,genenisperos Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G7:
Top Mentioned in G8:
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: