The graph represents a network of 65 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, 20 October 2020 at 18:00 UTC.
The requested start date was Tuesday, 20 October 2020 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 2-day, 18-hour, 37-minute period from Thursday, 15 October 2020 at 18:00 UTC to Sunday, 18 October 2020 at 12:37 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 : 65
Unique Edges : 70
Edges With Duplicates : 279
Total Edges : 349
Number of Edge Types : 5
Retweet : 54
MentionsInRetweet : 68
Mentions : 55
Replies to : 93
Tweet : 79
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0.223300970873786
Reciprocated Edge Ratio : 0.365079365079365
Connected Components : 7
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 59
Maximum Edges in a Connected Component : 342
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.051907
Graph Density : 0.0302884615384615
Modularity : 0.207753
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 65 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, 20 October 2020 at 18:00 UTC.
The requested start date was Tuesday, 20 October 2020 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 2-day, 18-hour, 37-minute period from Thursday, 15 October 2020 at 18:00 UTC to Sunday, 18 October 2020 at 12:37 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:
[19] covid,19 [10] research,grants [8] t2,democratize [8] democratize,research [8] research,treat [8] treat,ras [8] ras,better [8] better,improve [8] improve,access [8] access,availability Top Word Pairs in Tweet in G1:
[8] research,grants [8] covid,19 [7] t2,democratize [7] democratize,research [7] research,treat [7] treat,ras [7] ras,better [7] better,improve [7] improve,access [7] access,availability Top Word Pairs in Tweet in G2:
[3] telehealth,encounters [3] encounters,need [3] need,protected [3] protected,measures [3] measures,applications [3] applications,ensure [3] ensure,confidentiality [3] confidentiality,security [2] t1,one [2] one,point Top Word Pairs in Tweet in G4:
[6] covid,19 [5] #healthxph,helen [5] #healthxph,t3 [4] helenvmadamba,#healthxph [4] research,projects [3] social,distancing [2] teddybird,#healthxph [2] come,later [2] effects,covid [2] 19,patients Top Word Pairs in Tweet in G5:
[5] filipino,scientists [5] first,step [5] step,solving [5] solving,problem [4] covid,19 [4] 19,pandemic [4] situational,analysis [4] analysis,first [4] problem,t1 [4] t1,#healthxph Top Word Pairs in Tweet in G6:
[2] #healthyfaith,#healthxph [2] #healthcare,#health [2] #fitness,#fitnessgirl [2] #fitnessgirl,#fitspo Top Word Pairs in Tweet in G7:
[5] #chronicpain,management [5] management,longer [5] longer,patient [5] patient,going [5] going,physician [5] physician,#healthcare [5] #healthcare,practitioner [5] practitioner,passive [4] sandrawoodsmtl,#chronicpain Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 G7:
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: