The graph represents a network of 2,002 Twitter users whose tweets in the requested range contained "rwjf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 November 2019 at 07:19 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 22-minute period from Sunday, 20 October 2019 at 00:10 UTC to Saturday, 02 November 2019 at 23:33 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 : 2002
Unique Edges : 3554
Edges With Duplicates : 1718
Total Edges : 5272
Number of Edge Types : 3
Mentions : 4874
Tweet : 137
Replies to : 261
Self-Loops : 137
Reciprocated Vertex Pair Ratio : 0.0437242798353909
Reciprocated Edge Ratio : 0.0837851158206013
Connected Components : 98
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 1838
Maximum Edges in a Connected Component : 5105
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.211325
Graph Density : 0.00101298002347478
Modularity : 0.58709
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,002 Twitter users whose tweets in the requested range contained "rwjf", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 November 2019 at 07:19 UTC.
The requested start date was Sunday, 03 November 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 22-minute period from Sunday, 20 October 2019 at 00:10 UTC to Saturday, 02 November 2019 at 23:33 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 : rwjf
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[95] u,s [78] s,surgeons [78] surgeons,general [78] general,#dementia [78] #dementia,top [78] top,#public [78] #public,health [78] health,crisis [78] crisis,#alzheimers [78] #alzheimers,publichealth Top Word Pairs in Tweet in G1:
[31] rwjf,rwjfnfs [30] health,equity [30] rwjf,obesity [28] rwjfnfs,cu_nursing [28] cu_nursing,tuskegeeuniv [27] culture,health [27] muscnursing,ru_nursing [26] ru_nursing,rwjf [24] tuskegeeuniv,fduwhatsnew [24] fduwhatsnew,blackphdnetwork Top Word Pairs in Tweet in G2:
[23] categorical,eligibility [22] rwjf,drrichbesser [19] eliminate,snap [19] snap,categorical [14] usda,s [13] school,meals [12] proposed,rule [12] rule,eliminate [8] urbaninstitute,rpt [8] rpt,shows Top Word Pairs in Tweet in G3:
[79] u,s [78] s,surgeons [78] surgeons,general [78] general,#dementia [78] #dementia,top [78] top,#public [78] #public,health [78] health,crisis [78] crisis,#alzheimers [78] #alzheimers,publichealth Top Word Pairs in Tweet in G4:
[9] khnews,torontostar [9] fdacommissioner,rwjf [9] rwjf,supportprop [9] supportprop,deahq [9] deahq,hrw [8] vital,sign [8] #conflictofinterest,#rwjf [8] us_fda,icijorg [8] icijorg,khnews [8] torontostar,fdacommissioner Top Word Pairs in Tweet in G5:
[24] culture,health [18] 00,m [14] health,affairs [14] affairs,briefing [14] briefing,culture [14] health,housing [14] housing,health [14] health,thursday [14] thursday,november [14] november,7 Top Word Pairs in Tweet in G6:
[16] study,more [16] more,800 [16] 800,schools [16] schools,dc [16] dc,fl [16] fl,tx [16] tx,found [16] found,safe [16] safe,routes [16] routes,school Top Word Pairs in Tweet in G7:
[7] zip,code [6] purpose,built [6] determinant,health [6] know,zip [6] use,interactive [6] interactive,tool [6] tool,find [6] find,out [6] out,more [6] app,based Top Word Pairs in Tweet in G8:
[11] rural,communities [9] health,care [8] communities,urban [8] urban,smaller [8] smaller,brief [8] brief,explores [8] explores,unique [8] unique,obstacles [8] obstacles,providing [8] providing,effective Top Word Pairs in Tweet in G9:
[11] congratulations,councilbh [11] councilbh,award [11] award,rwjf [11] rwjf,advancing [11] advancing,black [11] black,health [11] health,agenda [11] agenda,together [11] together,great [10] saaphi91,congratulations Top Word Pairs in Tweet in G10:
[19] person,centered [14] social,care [12] ensure,systems [12] systems,person [12] centered,listening [12] listening,those [12] those,receiving [12] receiving,care [12] care,join [12] join,webinar Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: