The graph represents a network of 25 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, 30 November 2021 at 18:56 UTC.
The requested start date was Tuesday, 30 November 2021 at 01:01 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, 9-hour, 39-minute period from Thursday, 25 November 2021 at 04:53 UTC to Saturday, 27 November 2021 at 14:32 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 : 25
Unique Edges : 34
Edges With Duplicates : 132
Total Edges : 166
Number of Edge Types : 5
Retweet : 18
MentionsInRetweet : 24
Replies to : 38
Tweet : 49
Mentions : 37
Self-Loops : 49
Reciprocated Vertex Pair Ratio : 0.318181818181818
Reciprocated Edge Ratio : 0.482758620689655
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 161
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.821501
Graph Density : 0.0966666666666667
Modularity : 0.159911
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 25 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, 30 November 2021 at 18:56 UTC.
The requested start date was Tuesday, 30 November 2021 at 01:01 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, 9-hour, 39-minute period from Thursday, 25 November 2021 at 04:53 UTC to Saturday, 27 November 2021 at 14:32 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:
[7] take,care [5] home,#healthxph [4] t2,first [4] good,evening [4] covid,19 [4] t3,don [4] covid,hits [4] hits,home [3] register,join [3] join,clinicians Top Word Pairs in Tweet in G1:
[2] interesting,pack [2] pack,readings [2] readings,free [2] free,download [2] download,endocrine_witch [2] endocrine_witch,jaifredlopez [2] jaifredlopez,bonedoc [2] bonedoc,stephmiaco [2] stephmiaco,helenvmadamba [2] helenvmadamba,cebumd Top Word Pairs in Tweet in G2:
[3] thoughts,#healthxph [2] t3,t3 [2] t3,loved [2] loved,one [2] one,experience [2] experience,having [2] having,covid [2] covid,lesson [2] lesson,help [2] ball,rolling Top Word Pairs in Tweet in G3:
[7] take,care [4] home,#healthxph [4] covid,19 [3] hits,home [3] good,evening [3] doing,well [3] hectic,week [3] one,time [3] t3,don [2] stephmiaco,tweet Top Word Pairs in Tweet in G4:
[3] register,join [3] join,clinicians [3] clinicians,technologists [3] technologists,domain [3] domain,experts [3] experts,coming [3] coming,together [3] together,#connect [3] #connect,#collaborate [3] #collaborate,#create Top Replied-To in Entire Graph:
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: