The graph represents a network of 95 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, 07 July 2020 at 18:02 UTC.
The requested start date was Tuesday, 07 July 2020 at 00:01 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 4-day, 18-hour, 53-minute period from Wednesday, 01 July 2020 at 01:38 UTC to Sunday, 05 July 2020 at 20:32 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 : 95
Unique Edges : 52
Edges With Duplicates : 268
Total Edges : 320
Number of Edge Types : 5
Retweet : 79
MentionsInRetweet : 83
Tweet : 96
Mentions : 26
Replies to : 36
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.102803738317757
Reciprocated Edge Ratio : 0.186440677966102
Connected Components : 13
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 300
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.768294
Graph Density : 0.0132138857782755
Modularity : 0.273914
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 95 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, 07 July 2020 at 18:02 UTC.
The requested start date was Tuesday, 07 July 2020 at 00:01 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 4-day, 18-hour, 53-minute period from Wednesday, 01 July 2020 at 01:38 UTC to Sunday, 05 July 2020 at 20:32 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:
[36] being,communicate [36] communicate,transparently [36] transparently,give [36] give,clarity [36] clarity,situation [36] situation,much [36] much,needed [36] needed,especially [36] especially,#healthxph [35] giasison,being Top Word Pairs in Tweet in G1:
[35] being,communicate [35] communicate,transparently [35] transparently,give [35] give,clarity [35] clarity,situation [35] situation,much [35] much,needed [35] needed,especially [35] especially,#healthxph [34] giasison,being Top Word Pairs in Tweet in G2:
[16] public,health [10] #healthxph,t1 [6] covid,19 [5] many,people [4] important,skill [4] skill,public [4] health,advocating [4] advocating,necessary [4] necessary,interventions [4] interventions,transcending Top Word Pairs in Tweet in G3:
[3] public,health [2] pandemic,#healthxph Top Word Pairs in Tweet in G4:
[5] afraid,approach [5] approach,people [5] people,please [5] please,wear [5] wear,mask [5] mask,close [5] close,meter [5] meter,apart [5] apart,please [5] please,introduce Top Word Pairs in Tweet in G5:
[2] #healthxph,missed [2] missed,chat [2] chat,giasison [2] giasison,sorry Top Word Pairs in Tweet in G6:
[4] crisis,leadership [3] leaders,value [3] good,evening [2] t2,attest [2] attest,listed [2] listed,hbr [2] hbr,article [2] article,crisis [2] leadership,mix [2] mix,leadership Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: