The graph represents a network of 10,330 Twitter users whose recent tweets contained "#publichealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 09 April 2021 at 10:24 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 37-minute period from Thursday, 01 April 2021 at 11:49 UTC to Friday, 09 April 2021 at 09:26 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 : 10330
Unique Edges : 17259
Edges With Duplicates : 5819
Total Edges : 23078
Number of Edge Types : 5
Retweet : 7071
MentionsInRetweet : 7435
Mentions : 4656
Tweet : 3380
Replies to : 536
Self-Loops : 3586
Reciprocated Vertex Pair Ratio : 0.0356039963669391
Reciprocated Edge Ratio : 0.0687598666900544
Connected Components : 1541
Single-Vertex Connected Components : 814
Maximum Vertices in a Connected Component : 6711
Maximum Edges in a Connected Component : 18370
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.638273
Graph Density : 0.000160292682460505
Modularity : 0.673926
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 10,330 Twitter users whose recent tweets contained "#publichealth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 09 April 2021 at 10:24 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 37-minute period from Thursday, 01 April 2021 at 11:49 UTC to Friday, 09 April 2021 at 09:26 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 : TwitterSearch
Graph Term : #publichealth
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:
[2104] public,health [707] covid,19 [466] health,week [451] national,public [363] learn,more [300] #publichealth,measures [285] #publichealth,crisis [265] #covid19,#publichealth [254] 19,vaccine [253] measures,need Top Word Pairs in Tweet in G1:
[740] public,health [217] health,week [209] national,public [200] covid,19 [121] learn,more [98] #publichealth,#nphw [90] publichealth,nphw [83] #nphw,#publichealth [81] better,health [75] bridges,better Top Word Pairs in Tweet in G2:
[210] public,health [73] covid,19 [65] health,week [62] national,public [29] work,play [28] learn,more [28] learn,work [27] strengthening,community [26] #publichealth,#healthcare [26] world,health Top Word Pairs in Tweet in G3:
[175] measures,need [175] need,follow [141] #publichealth,measures [133] safety,measures [120] effective,april [120] april,12 [120] 12,01 [120] learn,#publichealth [79] 01,individuals [79] individuals,live Top Word Pairs in Tweet in G4:
[117] #publichealth,crisis [115] front,lines [112] nothing,more [112] more,fulfilling [112] fulfilling,knowing [112] knowing,play [112] play,role [112] role,shaping [112] shaping,healthy [112] healthy,tomorrow Top Word Pairs in Tweet in G5:
[48] #psca,#ppic3 [48] #punjabpolice,#covid19 [48] #covid19,#publicsafety [48] #publicsafety,#publichealth [48] #publichealth,#precautions [41] #ppic3,#punjabpolice [32] #health,#publichealth [30] #covid19,#coronavirus [29] #coronavirus,#covid19 [29] #precautions,#ruleoflaw Top Word Pairs in Tweet in G6:
[67] public,health [64] local,#publichealth [36] local,public [31] next,crisis [26] workforce,infrastructure [23] #cacantwait,coalition [22] #cabudget,proposal [22] #cacantwait,until [22] until,next [20] #publichealth,depts Top Word Pairs in Tweet in G7:
[25] public,health [17] read,more [12] ronald,wyatt [12] #waleg,#publichealth [11] #publichealth,#globalhealth [11] #publichealth,issue [10] solving,systemic [10] systemic,racism [10] racism,#publichealth [10] #publichealth,start Top Word Pairs in Tweet in G8:
[48] senators,act [48] act,shannonrwatts [48] shannonrwatts,momsdemand [48] momsdemand,speaks [48] speaks,maddow [48] maddow,huge [48] huge,ramifications [48] ramifications,bankruptcy [48] bankruptcy,trial [48] trial,against Top Word Pairs in Tweet in G9:
[39] #publichealth,#healthforall [20] covid,19 [18] #smartwatch,#fitbit [14] #publichealth,#ncds [13] #womeninstem,#womeninscience [11] #data,#datascience [11] #dementia,#alzheimers [11] world,health [11] health,day [10] systematic,review Top Word Pairs in Tweet in G10:
[49] #coronavirus,#publichealth [40] please,re [40] re,tweet [40] tweet,raise [40] raise,awareness [40] awareness,10 [40] 10,early [40] early,signs [40] signs,symptoms [40] symptoms,#alzheimers Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: