The graph represents a network of 56 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, 23 June 2020 at 18:02 UTC.
The requested start date was Tuesday, 23 June 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 3-day, 15-hour, 49-minute period from Thursday, 18 June 2020 at 08:43 UTC to Monday, 22 June 2020 at 00:33 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 : 56
Unique Edges : 78
Edges With Duplicates : 265
Total Edges : 343
Number of Edge Types : 5
Replies to : 99
Mentions : 67
Retweet : 33
MentionsInRetweet : 43
Tweet : 101
Self-Loops : 101
Reciprocated Vertex Pair Ratio : 0.25
Reciprocated Edge Ratio : 0.4
Connected Components : 10
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 38
Maximum Edges in a Connected Component : 310
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.289093
Graph Density : 0.0422077922077922
Modularity : 0.233013
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 56 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, 23 June 2020 at 18:02 UTC.
The requested start date was Tuesday, 23 June 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 3-day, 15-hour, 49-minute period from Thursday, 18 June 2020 at 08:43 UTC to Monday, 22 June 2020 at 00:33 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:
[13] join,#healthxph [8] families,normal [8] covid,19 [7] endocrine_witch,anueru432 [6] please,join [6] #healthxph,later [6] later,20th [6] 20th,june [6] june,saturday [6] saturday,pm Top Word Pairs in Tweet in G1:
[8] covid,19 [7] endocrine_witch,anueru432 [6] good,evening [5] join,#healthxph [5] senior,citizens [5] haha,#healthxph [4] fake,news [4] cebu,city [4] go,home [3] hello,#healthxph Top Word Pairs in Tweet in G2:
[5] cmomaharashtra,samant_uday [5] samant_uday,dgpmaharashtra [4] #postponemhtcet,#studentslivesmatter [4] #studentslivesmatter,#letuslive [4] dgpmaharashtra,maha_governor [3] #letuslive,#cmomaharashtra [3] #cmomaharashtra,#healthxph [3] #healthxph,cmomaharashtra [2] maha_governor,retweet [2] retweet,agree Top Word Pairs in Tweet in G3:
[4] posting,questions [4] families,normal [3] t1,everyone [3] everyone,#healthxph [3] #healthxph,share [3] share,away [2] questions,bit [2] bit,feel [2] feel,free [2] free,join Top Word Pairs in Tweet in G4:
[3] #healthxph,featuring [2] #healthcare,#healthxph [2] featuring,helenvmadamba [2] news,facebook [2] healthxph,dd_invest Top Word Pairs in Tweet in G6:
[5] join,#healthxph [4] please,join [4] #healthxph,later [4] later,20th [4] 20th,june [4] june,saturday [4] saturday,pm [4] pm,manila [4] manila,time [4] time,eastern Top Word Pairs in Tweet in G7:
[2] pandemic,highligted [2] highligted,depressive [2] depressive,mood [2] mood,family [2] family,really [2] really,having [2] having,hard [2] hard,time [2] time,coping [2] coping,physical Top Word Pairs in Tweet in G8:
[2] saturday,#twitterchat [2] #twitterchat,list [2] list,#edchateu [2] #edchateu,7am [2] 7am,#satchat [2] #satchat,30am [2] 30am,#healthxph [2] #healthxph,8am [2] 8am,#edugladiators [2] #edugladiators,9am 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 Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9: