The graph represents a network of 871 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, 18 December 2019 at 23:21 UTC.
The requested start date was Wednesday, 18 December 2019 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 77-day, 23-hour, 29-minute period from Tuesday, 01 October 2019 at 00:00 UTC to Tuesday, 17 December 2019 at 23:30 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 : 871
Unique Edges : 1093
Edges With Duplicates : 863
Total Edges : 1956
Number of Edge Types : 3
Mentions : 1602
Replies to : 57
Tweet : 297
Self-Loops : 297
Reciprocated Vertex Pair Ratio : 0.0846084608460846
Reciprocated Edge Ratio : 0.156016597510373
Connected Components : 111
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 578
Maximum Edges in a Connected Component : 1552
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.81961
Graph Density : 0.00159019227470077
Modularity : 0.450142
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 871 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, 18 December 2019 at 23:21 UTC.
The requested start date was Wednesday, 18 December 2019 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 77-day, 23-hour, 29-minute period from Tuesday, 01 October 2019 at 00:00 UTC to Tuesday, 17 December 2019 at 23:30 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:
[235] health,care [96] medi,cal [84] california,health [65] serious,illness [64] care,foundation [59] managed,care [59] health,disparities [56] quality,care [48] cal,managed [46] mental,health Top Word Pairs in Tweet in G1:
[98] health,care [67] medi,cal [42] quality,care [42] serious,illness [41] managed,care [35] cal,managed [31] #whatcawants,survey [28] health,disparities [28] mental,health [25] care,plans Top Word Pairs in Tweet in G2:
[35] health,care [29] california,health [27] care,foundation [7] serious,illness [6] medi,cal [5] care,california [5] community,health [4] quality,improvement [4] co,duadleaywz [4] behavioral,health Top Word Pairs in Tweet in G3:
[23] health,care [5] proud,announce [5] announce,chcfnews' [5] chcfnews',investment [5] investment,unite [5] unite,invest [5] invest,health [5] care,tech [5] tech,service [5] service,companies Top Word Pairs in Tweet in G4:
[13] health,care [4] health,disparities [4] california,health [4] operational,challenges [4] climate,change [3] almanac,report [3] opening,statements [3] statements,ca [3] ca,sutter [3] sutter,health Top Word Pairs in Tweet in G5:
[35] seem,intuitive [35] intuitive,talking [35] talking,patients [35] patients,live [35] live,well [35] well,devastating [35] devastating,illness [33] bjmillermd,seem [31] illness,soâ [7] œ,physician Top Word Pairs in Tweet in G6:
[19] health,care [9] california,improvement [8] health,disparities [6] improvement,network's [5] quality,care [5] medi,cal [5] managed,care [5] individual,enrollment [5] racial,ethnic [5] ethnic,health Top Word Pairs in Tweet in G7:
[6] annual,thanksgiving [6] childcare,issues [6] issues,gaining [6] gaining,interest [6] interest,country [6] country,parents [6] parents,need [6] need,go [6] go,work [6] work,quality Top Word Pairs in Tweet in G9:
[19] long,term [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 Top Word Pairs in Tweet in G10:
[7] proud,serve [7] serve,under [7] under,#fmrevolution [7] #fmrevolution,super [7] super,stars [7] stars,panna [7] panna,lossy [7] lossy,md [7] md,tarascottmd [7] tarascottmd,#kinkaidfire 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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