The graph represents a network of 756 Twitter users whose tweets in the requested range contained "CHCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 March 2021 at 22:44 UTC.
The requested start date was Tuesday, 23 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 80-day, 22-hour, 19-minute period from Friday, 01 January 2021 at 00:00 UTC to Monday, 22 March 2021 at 22:20 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 : 756
Unique Edges : 632
Edges With Duplicates : 1710
Total Edges : 2342
Number of Edge Types : 5
Retweet : 561
MentionsInRetweet : 800
Mentions : 527
Tweet : 386
Replies to : 68
Self-Loops : 390
Reciprocated Vertex Pair Ratio : 0.0826359832635983
Reciprocated Edge Ratio : 0.152657004830918
Connected Components : 106
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 406
Maximum Edges in a Connected Component : 1497
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.325526
Graph Density : 0.00181330810469883
Modularity : 0.385205
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 756 Twitter users whose tweets in the requested range contained "CHCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 March 2021 at 22:44 UTC.
The requested start date was Tuesday, 23 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 80-day, 22-hour, 19-minute period from Friday, 01 January 2021 at 00:00 UTC to Monday, 22 March 2021 at 22:20 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 : CHCF
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:
[176] covid,19 [158] health,care [102] ve,notified [84] restore_cal,ve [75] medi,cal [72] learn,more [65] california,health [64] incarcerated,persons [52] died,covid [51] chcf,one Top Word Pairs in Tweet in G1:
[97] health,care [89] covid,19 [68] medi,cal [41] learn,more [37] managed,care [30] cal,managed [23] california,health [23] care,plans [20] behavioral,health [18] public,health Top Word Pairs in Tweet in G2:
[102] ve,notified [84] restore_cal,ve [64] incarcerated,persons [52] died,covid [51] chcf,one [43] persons,one [43] one,chcf [43] covid,19 [33] one,cmf [30] one,cmc Top Word Pairs in Tweet in G3:
[8] join,chcf_inc [8] chcf_inc,unhny [8] unhny,goodshepherdnyc [8] goodshepherdnyc,palnewyork [8] palnewyork,march [8] march,4th [8] 4th,5pm [8] 5pm,nyc [8] nyc,regional [8] regional,#afterschool Top Word Pairs in Tweet in G4:
[14] covid,19 [6] 19,vaccine [3] information,need [3] need,feel [3] feel,safe [3] safe,getting [3] getting,covid [3] vaccine,turn [3] turn,central [3] central,question Top Word Pairs in Tweet in G5:
[18] health,care [15] california,health [14] care,foundation [7] covid,19 [6] medi,cal [3] co,duadleaywz [3] health,equity [3] use,carrots [3] carrots,sticks [3] sticks,spur Top Word Pairs in Tweet in G6:
[35] chestnut,hill [10] covid,19 [8] virtual,class [7] learn,more [7] chestnuthillpa,visitphilly [7] visitphilly,chca_chcf [6] hill,west [6] join,12 [6] 12,18 [6] 18,free Top Word Pairs in Tweet in G7:
[6] next,decade [6] pitch,competition [4] early,stage [4] medtechcolor,inaugural [3] medicaid,innovation [3] innovation,expect [3] expect,over [3] over,next [3] decade,paper [3] paper,manatthealth Top Word Pairs in Tweet in G8:
[12] clinical,laboratory [12] laboratory,technologist [7] gavinnewsom,capublichealth [7] capublichealth,cacorrections [7] cacorrections,cdcgov [7] cdcgov,officialfbop [7] officialfbop,#covid19 [7] #covid19,outbreaks [7] outbreaks,within [7] within,medical Top Word Pairs in Tweet in G10:
[7] home,based [6] chuck,pu [6] based,medical [6] medical,care [5] delighted,part [5] part,ritchiecs [5] ritchiecs,bruce [5] bruce,leff [5] leff,naomi [5] naomi,gallopyn 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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