The graph represents a network of 44 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, 22 June 2021 at 16:59 UTC.
The requested start date was Tuesday, 22 June 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, 17-hour, 49-minute period from Wednesday, 16 June 2021 at 03:10 UTC to Sunday, 20 June 2021 at 21:00 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 : 44
Unique Edges : 77
Edges With Duplicates : 290
Total Edges : 367
Number of Edge Types : 5
Mentions : 89
Tweet : 72
Retweet : 48
MentionsInRetweet : 87
Replies to : 71
Self-Loops : 72
Reciprocated Vertex Pair Ratio : 0.240384615384615
Reciprocated Edge Ratio : 0.387596899224806
Connected Components : 5
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 40
Maximum Edges in a Connected Component : 360
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.213217
Graph Density : 0.0681818181818182
Modularity : 0.169875
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 44 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, 22 June 2021 at 16:59 UTC.
The requested start date was Tuesday, 22 June 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, 17-hour, 49-minute period from Wednesday, 16 June 2021 at 03:10 UTC to Sunday, 20 June 2021 at 21:00 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 : #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:
[17] social,listening [14] social,media [13] endocrine_witch,pat_health [13] pat_health,twitterspaces [10] good,evening [9] listening,#healthxph [8] helenvmadamba,endocrine_witch [7] t1,advice [7] advice,spokesperson [7] spokesperson,#healthxph Top Word Pairs in Tweet in G1:
[9] pat_health,twitterspaces [8] endocrine_witch,pat_health [6] social,listening [5] listening,#healthxph [5] helenvmadamba,endocrine_witch [5] covid,19 [5] social,media [4] pat_health,really [4] really,infographic [4] infographic,social Top Word Pairs in Tweet in G2:
[5] social,media [5] good,evening [4] evening,everyone [4] everyone,jim [4] jim,working [4] working,#publichealth [4] #publichealth,#nutrition [4] #nutrition,#projectmanagement [4] #projectmanagement,#healthxph [3] helenvmadamba,endocrine_witch Top Word Pairs in Tweet in G3:
[8] social,listening [5] good,evening [5] endocrine_witch,pat_health [3] #vsmmc,#doh7researchcongress2021 [3] evening,#healthxph [3] listening,#healthxph [3] social,media [3] pat_health,twitterspaces [2] doh7,research [2] research,congress Top Word Pairs in Tweet in G4:
[2] #healthxph,featuring [2] healthxph,dd_invest Top Word Pairs in Tweet in G5:
[2] poor,handwriting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: