The graph represents a network of 39 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, 13 July 2021 at 16:59 UTC.
The requested start date was Tuesday, 13 July 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 3-day, 15-hour, 55-minute period from Wednesday, 07 July 2021 at 00:44 UTC to Saturday, 10 July 2021 at 16:39 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 : 39
Unique Edges : 59
Edges With Duplicates : 756
Total Edges : 815
Number of Edge Types : 5
Mentions : 457
Retweet : 42
MentionsInRetweet : 136
Replies to : 127
Tweet : 53
Self-Loops : 53
Reciprocated Vertex Pair Ratio : 0.339622641509434
Reciprocated Edge Ratio : 0.507042253521127
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 807
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.972579
Graph Density : 0.0958164642375169
Modularity : 0.072035
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 39 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, 13 July 2021 at 16:59 UTC.
The requested start date was Tuesday, 13 July 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 3-day, 15-hour, 55-minute period from Wednesday, 07 July 2021 at 00:44 UTC to Saturday, 10 July 2021 at 16:39 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:
[83] bonedoc,stephmiaco [75] stephmiaco,jaifredlopez [71] rxtepen,mars_ids [70] jaifredlopez,rxtepen [56] sociojcleofasrn,bonedoc [24] mars_ids,anueru432 [21] endocrine_witch,bonedoc [17] digital,communication [13] endocrine_witch,sociojcleofasrn [11] time,#healthxph Top Word Pairs in Tweet in G1:
[19] sociojcleofasrn,bonedoc [15] rxtepen,mars_ids [14] bonedoc,stephmiaco [11] jaifredlopez,rxtepen [11] stephmiaco,jaifredlopez [7] social,media [7] effectively,conveying [6] join,twitter [6] twitter,9pm [6] 9pm,mla Top Word Pairs in Tweet in G2:
[21] sociojcleofasrn,bonedoc [20] bonedoc,stephmiaco [18] stephmiaco,jaifredlopez [16] jaifredlopez,rxtepen [15] rxtepen,mars_ids [7] mars_ids,anueru432 [4] digital,space [4] helenvmadamba,stephmiaco [3] space,#healthxph [3] join,twitter Top Word Pairs in Tweet in G3:
[6] digital,communication [5] #healthxph,hi [5] bonedoc,stephmiaco [5] sociojcleofasrn,bonedoc [4] endocrine_witch,#healthxph [3] stephmiaco,jaifredlopez [3] #healthxph,t1 [2] bonedoc,#healthxph [2] helenvmadamba,#healthxph [2] jaifredlopez,#healthxph Top Word Pairs in Tweet in G4:
[44] bonedoc,stephmiaco [43] stephmiaco,jaifredlopez [41] jaifredlopez,rxtepen [39] rxtepen,mars_ids [18] endocrine_witch,bonedoc [13] mars_ids,anueru432 [11] sociojcleofasrn,bonedoc [9] digital,communication [8] mars_ids,bonedoc [6] endocrine_witch,sociojcleofasrn Top Word Pairs in Tweet in G5:
[4] #life,#health [4] #health,#healthcare [4] #healthcare,#goodhealth [4] #goodhealth,#weightloss [4] #weightmanagment,#skincare [4] #skincare,#skinproblem [2] selarkarnilesh,#life [2] #weightloss,#fitness [2] #fitness,#weightmanagment [2] #skinproblem,#yoga 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 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 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: