The graph represents a network of 188 Twitter users whose recent tweets contained "#rcpeStAs19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 30 November 2019 at 09:24 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 27-minute period from Thursday, 28 November 2019 at 04:55 UTC to Saturday, 30 November 2019 at 09:22 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 : 188
Unique Edges : 347
Edges With Duplicates : 281
Total Edges : 628
Self-Loops : 93
Reciprocated Vertex Pair Ratio : 0.078167115902965
Reciprocated Edge Ratio : 0.145
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 183
Maximum Edges in a Connected Component : 621
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.06172
Graph Density : 0.0113778586869951
Modularity : 0.391143
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 188 Twitter users whose recent tweets contained "#rcpeStAs19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 30 November 2019 at 09:24 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 27-minute period from Thursday, 28 November 2019 at 04:55 UTC to Saturday, 30 November 2019 at 09:22 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 : TwitterSearch
Graph Term : #rcpeStAs19
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[36] end,life [34] don,t [32] planning,end [32] life,care [32] care,people [32] people,don [32] t,start [32] start,dnacpr [32] dnacpr,#rcpestas19 [28] rcpedin,#rcpestas19 Top Word Pairs in Tweet in G1:
[17] rcpedin,#rcpestas19 [14] decision,making [14] whitworthce,presidentrcpe [13] #rcpestas19,rcpedin [12] shared,decision [12] presidentrcpe,sander_vdlinden [7] 59th,st [7] day,festival [7] #rcpestas19,whitworthce [6] heartbreaking,story Top Word Pairs in Tweet in G2:
[24] know,flucloxacillin [24] flucloxacillin,actually [24] actually,mild [24] mild,anti [24] anti,inflammatory [24] inflammatory,makes [24] makes,inflammatory [24] inflammatory,skin [24] skin,conditions [24] conditions,better Top Word Pairs in Tweet in G3:
[32] end,life [28] planning,end [28] life,care [28] care,people [28] people,don [28] don,t [28] t,start [28] start,dnacpr [28] dnacpr,#rcpestas19 [5] physical,activity Top Word Pairs in Tweet in G4:
[8] henry,watson [8] watson,reminds [8] reminds,need [8] need,use [8] use,cockcroft [8] cockcroft,gault [8] gault,gfr [8] gfr,doac [8] doac,dosing [8] dosing,#rcpestas19 Top Word Pairs in Tweet in G5:
[15] organisations,become [15] become,concerned [15] concerned,passionate [15] passionate,people [15] people,become [15] become,quiet [15] quiet,addressing [15] addressing,incivility [15] incivility,health [15] health,care Top Word Pairs in Tweet in G6:
[4] #rcpestas19,rcpedin [4] rcpedin,#rcpestas19 [4] impacts,health [4] aki,#rcpestas19 [3] henry,watson [3] great,talk [3] pt,aptt [3] physical,activity [3] social,prescribing [3] drgregorsmith,#rcpestas19 Top Word Pairs in Tweet in G7:
[7] #rcpestas19,realisticmed [6] medically,unexplained [6] unexplained,symptoms [4] 12,lead [4] being,heard [4] heard,close [4] close,being [4] being,loved [4] loved,indistinguishable [4] indistinguishable,medically Top Word Pairs in Tweet in G8:
[3] speaking,wearables [3] wearables,medicine [2] medicine,59th [2] 59th,st [2] st,andrew [2] andrew,s [2] s,day [2] day,festival [2] festival,updates [2] updates,acute Top Word Pairs in Tweet in G9:
[2] chimes,autonomy [2] autonomy,mastery [2] mastery,purpose [2] purpose,milesmack [2] milesmack,rcgpscotland [2] rcgpscotland,#rcpestas19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: