The graph represents a network of 905 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, 12 May 2020 at 23:49 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 71-day, 12-hour, 15-minute period from Sunday, 01 March 2020 at 11:45 UTC to Tuesday, 12 May 2020 at 00:00 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 : 905
Unique Edges : 695
Edges With Duplicates : 2161
Total Edges : 2856
Number of Edge Types : 5
Retweet : 718
MentionsInRetweet : 930
Mentions : 780
Tweet : 359
Replies to : 69
Self-Loops : 363
Reciprocated Vertex Pair Ratio : 0.0871985157699443
Reciprocated Edge Ratio : 0.160409556313993
Connected Components : 135
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 629
Maximum Edges in a Connected Component : 2465
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.531932
Graph Density : 0.00143255268175818
Modularity : 0.319856
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 905 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, 12 May 2020 at 23:49 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 71-day, 12-hour, 15-minute period from Sunday, 01 March 2020 at 11:45 UTC to Tuesday, 12 May 2020 at 00:00 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:
[314] covid,19 [271] health,care [96] california,health [84] care,foundation [66] mental,health [55] people,color [55] tracking,poll [45] 19,tracking [38] health,disparities [38] fill,#2020census Top Word Pairs in Tweet in G1:
[166] covid,19 [114] health,care [45] mental,health [36] people,color [27] tracking,poll [25] fill,#2020census [23] care,system [23] medi,cal [23] last,week [23] chcfnews,#essentialcoverage Top Word Pairs in Tweet in G2:
[74] covid,19 [51] health,care [18] critical,care [17] people,color [15] chcfnews,covid [13] care,physicians [11] fill,#2020census [11] during,pandemic [10] tracking,poll [10] 19,tracking Top Word Pairs in Tweet in G3:
[51] health,care [43] california,health [42] care,foundation [33] covid,19 [10] 19,tracking [10] tracking,poll [8] co,duadleaywz [7] mental,health [7] ù,ù [7] support,shelter Top Word Pairs in Tweet in G4:
[21] learn,more [18] during,coronavirus [18] school,closures [17] multilingual,learners [16] equity,means [16] means,supporting [16] supporting,multilingual [16] learners,during [16] coronavirus,school [16] closures,learn Top Word Pairs in Tweet in G5:
[8] chcf,stockton [7] health,care [6] confirmed,cdcr [6] cdcr,staff [6] staff,case [6] case,#covid19 [6] #covid19,california [6] california,health [6] care,facility [6] facility,chcf Top Word Pairs in Tweet in G6:
[6] discoverphl,visitphilly [6] chestnut,hill [6] stay,home [4] support,local [4] local,businesses [4] weâ,re [3] #chestnuthillpa,discoverphl [3] happy,hour [3] youâ,re [3] re,doing Top Word Pairs in Tweet in G7:
[3] scottc20012,billfoxla [3] billfoxla,foxla [2] foxla,janesonlockdown [2] janesonlockdown,beautful_chaos [2] pacific,beach [2] beach,protests [2] protests,waste [2] waste,time [2] time,opportunity [2] opportunity,idiots Top Word Pairs in Tweet in G8:
[2] institutional,abuse [2] abuse,spanish [2] spanish,state [2] state,spain [2] spain,children [2] children,privation [2] privation,liberty [2] liberty,rights [2] rights,power [2] therincloud,darth_smol Top Word Pairs in Tweet in G9:
[12] jennyagold,annabarryjester [8] david,tuller [7] public,health [5] tuller,profile's [5] profile's,teamwork [5] teamwork,jennyagold [5] annabarryjester,early [5] early,weeks [5] weeks,#coronavirus [5] #coronavirus,coverage Top Word Pairs in Tweet in G10:
[12] nursing,home [12] home,resident [12] resident,especially [12] especially,those [12] those,advanced [12] advanced,alzheimer [12] alzheimer,updated [12] updated,polst [12] polst,form [12] form,file Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: