The graph represents a network of 850 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 Wednesday, 07 April 2021 at 22:43 UTC.
The requested start date was Tuesday, 06 April 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 94-day, 20-hour, 22-minute period from Friday, 01 January 2021 at 00:00 UTC to Monday, 05 April 2021 at 20:23 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 : 850
Unique Edges : 698
Edges With Duplicates : 1957
Total Edges : 2655
Number of Edge Types : 5
Mentions : 608
MentionsInRetweet : 889
Retweet : 630
Tweet : 448
Replies to : 80
Self-Loops : 454
Reciprocated Vertex Pair Ratio : 0.0822179732313576
Reciprocated Edge Ratio : 0.151943462897526
Connected Components : 133
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 439
Maximum Edges in a Connected Component : 1707
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.30593
Graph Density : 0.00156862745098039
Modularity : 0.376561
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 850 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 Wednesday, 07 April 2021 at 22:43 UTC.
The requested start date was Tuesday, 06 April 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 94-day, 20-hour, 22-minute period from Friday, 01 January 2021 at 00:00 UTC to Monday, 05 April 2021 at 20:23 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:
[189] covid,19 [186] health,care [102] ve,notified [92] medi,cal [89] learn,more [84] restore_cal,ve [78] california,health [64] incarcerated,persons [62] care,foundation [52] died,covid Top Word Pairs in Tweet in G1:
[123] health,care [102] covid,19 [85] medi,cal [51] learn,more [45] managed,care [38] cal,managed [35] california,health [33] health,centers [23] care,plans [22] care,foundation 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:
[21] health,care [18] california,health [17] care,foundation [10] covid,19 [7] medi,cal [5] co,duadleaywz [4] health,equity [3] street,medicine [3] use,carrots [3] carrots,sticks Top Word Pairs in Tweet in G4:
[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 G5:
[14] covid,19 [6] 19,vaccine [4] information,need [4] need,feel [4] feel,safe [4] safe,getting [4] central,question [3] getting,covid [3] vaccine,turn [3] turn,central Top Word Pairs in Tweet in G6:
[39] chestnut,hill [10] covid,19 [8] learn,more [8] virtual,class [7] read,more [7] chestnuthillpa,visitphilly [7] visitphilly,chca_chcf [6] sam,feinstein [6] hill,west [6] join,12 Top Word Pairs in Tweet in G7:
[10] pitch,competition [6] next,decade [6] medtechcolor,pitch [6] medtechcolor,inaugural [5] early,stage [4] ximedica,proud [4] 100k,cash [4] cash,services [4] inaugural,pitch [4] competition,11 Top Word Pairs in Tweet in G8:
[17] clinical,laboratory [17] laboratory,technologist [9] don,miss [9] miss,#jobopening [9] #jobopening,cacorrections [9] cacorrections,re [9] re,#hiring [9] #hiring,senior [9] senior,clinical [8] technologist,stockton Top Word Pairs in Tweet in G9:
[6] small,irony [6] irony,#dermatology [6] #dermatology,inherent [6] inherent,racial [6] racial,differences [6] differences,exist [6] exist,matter [6] matter,diagnosis [5] thenephrologist,small [3] know,bl 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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