The graph represents a network of 24 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, 18 February 2020 at 03:50 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 5-hour, 45-minute period from Wednesday, 12 February 2020 at 08:00 UTC to Friday, 14 February 2020 at 13:45 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 : 24
Unique Edges : 13
Edges With Duplicates : 26
Total Edges : 39
Number of Edge Types : 3
Mentions : 32
MentionsInRetweet : 4
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 15
Maximum Edges in a Connected Component : 31
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.75
Graph Density : 0.0344202898550725
Modularity : 0.387081
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 24 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, 18 February 2020 at 03:50 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 5-hour, 45-minute period from Wednesday, 12 February 2020 at 08:00 UTC to Friday, 14 February 2020 at 13:45 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:
[5] #healthxph,featuring [4] healthxph,dd_invest [4] #coronavirus,#healthxph [3] #poetryheals,190 [3] white,side [3] side,absorbent [3] absorbent,secretions [3] secretions,blue [3] blue,side [3] side,repels Top Word Pairs in Tweet in G1:
[5] #healthxph,featuring [4] healthxph,dd_invest [3] #coronavirus,#healthxph [2] gonnabedess,mars_ids Top Word Pairs in Tweet in G2:
[3] #poetryheals,190 [2] titasunshineph,#healthxph [2] 190,sorrow [2] sorrow,happens [2] happens,hardship [2] hardship,happens [2] happens,hell [2] hell,never [2] never,knew [2] knew,price Top Word Pairs in Tweet in G3:
[3] white,side [3] side,absorbent [3] absorbent,secretions [3] secretions,blue [3] blue,side [3] side,repels [3] repels,fluid [3] fluid,middle [3] middle,layer [3] layer,filter Top Word Pairs in Tweet in G4:
[2] t2,house [2] house,md [2] md,dramatic [2] dramatic,intriguing [2] intriguing,funny [2] funny,close [2] close,reality [2] reality,forget [2] forget,brilliance 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: