The graph represents a network of 733 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, 12 February 2020 at 23:20 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 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, 21-hour, 53-minute period from Monday, 02 December 2019 at 02:16 UTC to Wednesday, 12 February 2020 at 00:10 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 : 733
Unique Edges : 997
Edges With Duplicates : 758
Total Edges : 1755
Number of Edge Types : 4
Mentions : 572
MentionsInRetweet : 888
Tweet : 248
Replies to : 47
Self-Loops : 248
Reciprocated Vertex Pair Ratio : 0.0787937743190661
Reciprocated Edge Ratio : 0.146077547339946
Connected Components : 91
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 431
Maximum Edges in a Connected Component : 1243
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.456163
Graph Density : 0.00206688584229791
Modularity : 0.477148
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 733 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, 12 February 2020 at 23:20 UTC.
The requested start date was Wednesday, 12 February 2020 at 01:01 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, 21-hour, 53-minute period from Monday, 02 December 2019 at 02:16 UTC to Wednesday, 12 February 2020 at 00:10 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:
[198] health,care [92] medi,cal [78] mental,health [60] nurse,practitioners [56] california,health [45] care,foundation [43] texas,azar [42] mikebloomberg,realdonaldtrump [42] realdonaldtrump,case [42] case,texas Top Word Pairs in Tweet in G1:
[109] health,care [51] medi,cal [39] mental,health [31] palliative,care [28] serious,illness [23] behavioral,health [18] california,health [17] health,insurance [15] health,policy [14] nurse,practitioners Top Word Pairs in Tweet in G2:
[10] health,care [5] food,insecurity [5] 2020,21 [5] health,insurance [5] health,outcomes [4] know,food [4] insecurity,lack [4] lack,transportation [4] transportation,med [4] med,appts Top Word Pairs in Tweet in G3:
[37] nurse,practitioners [23] important,role [22] medi,cal [17] health,care [16] providing,care [15] particularly,important [12] chcfnews,released [12] mental,health [11] today,chcfnews [11] released,fact Top Word Pairs in Tweet in G4:
[23] health,care [20] care,foundation [19] california,health [4] serious,illness [3] care,california [3] fix,social [3] social,safety [3] safety,net [3] mental,health [2] behavioral,health Top Word Pairs in Tweet in G5:
[43] texas,azar [42] mikebloomberg,realdonaldtrump [42] realdonaldtrump,case [42] case,texas [42] azar,5th [42] 5th,cir [42] cir,opinion [42] opinion,issued [42] issued,dec [42] dec,2019 Top Word Pairs in Tweet in G6:
[9] voices,heard [9] many,thanks [8] #youth,#advocates [8] #advocates,albany [8] albany,making [8] making,voices [8] heard,#afterschool [8] #afterschool,funding [8] funding,many [7] child,care Top Word Pairs in Tweet in G7:
[9] health,care [7] more,50 [7] 50,californians [7] californians,suffering [7] suffering,mental [7] mental,illness [7] illness,receive [7] receive,care [7] care,need [7] need,big Top Word Pairs in Tweet in G8:
[18] less,10 [18] 10,days [18] days,health [18] health,center [18] center,funding [18] funding,take [18] take,action [18] action,today [18] today,make [18] make,sure Top Word Pairs in Tweet in G9:
[15] surgeon,general [12] chcfnews,learn [12] learn,more [12] more,drburkeharris [12] drburkeharris,plans [12] first,surgeon [11] plans,california's [11] california's,first [11] general,exclusive [3] filed,make Top Word Pairs in Tweet in G10:
[11] patient,education [7] sample,#mybirthmatters [7] #mybirthmatters,patient [7] education,print [7] print,materials [7] materials,available [7] available,along [7] along,original [7] original,english [6] cesareanrates,sample Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: