The graph represents a network of 956 Twitter users whose recent tweets contained "#BGSconf", 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 Wednesday, 01 December 2021 at 17:26 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 32-minute period from Tuesday, 23 November 2021 at 08:43 UTC to Wednesday, 01 December 2021 at 17:16 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 : 956
Unique Edges : 3013
Edges With Duplicates : 3867
Total Edges : 6880
Self-Loops : 332
Reciprocated Vertex Pair Ratio : 0.100234466588511
Reciprocated Edge Ratio : 0.182205647309537
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 951
Maximum Edges in a Connected Component : 6874
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.413111
Graph Density : 0.00411180967819667
Modularity : 0.247476
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 956 Twitter users whose recent tweets contained "#BGSconf", 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 Wednesday, 01 December 2021 at 17:26 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 32-minute period from Tuesday, 23 November 2021 at 08:43 UTC to Wednesday, 01 December 2021 at 17:16 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 : #BGSconf
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:
[417] older,people [234] gerisoc,#bgsconf [211] older,adults [152] care,homes [137] delirium,hub [136] new,delirium [122] care,home [113] check,out [106] community,geriatrics [103] front,door Top Word Pairs in Tweet in G1:
[126] older,people [90] older,adults [78] gerisoc,#bgsconf [63] front,door [63] take,home [62] delirium,hub [61] new,delirium [60] frail,older [58] home,message [57] door,#bgsconf Top Word Pairs in Tweet in G2:
[163] older,people [77] gerisoc,#bgsconf [49] care,homes [48] care,home [48] older,adults [40] health,inequalities [32] eileenburns13,#bgsconf [32] maggierae20,#bgsconf [29] check,out [29] people,#bgsconf Top Word Pairs in Tweet in G3:
[58] older,people [52] gerisoc,#bgsconf [44] older,adults [35] care,homes [26] older,patients [26] #bgsconf,dr [25] 1,3 [24] 40,older [24] patients,having [24] having,report Top Word Pairs in Tweet in G4:
[37] older,people [28] new,delirium [28] delirium,hub [26] hub,launched [25] launched,#bgsconf [24] further,reading [22] systematic,review [21] check,out [19] session,#bgsconf [19] covid,19 Top Word Pairs in Tweet in G5:
[32] use,amlodipine [31] eileenburns13,#bgsconf [26] amlodipine,acutely [26] acutely,takes [26] takes,long [26] long,work [26] work,shades [26] shades,regular [26] regular,phone [26] phone,calls Top Word Pairs in Tweet in G6:
[13] older,lgbtq [12] lgbtq,people [11] #bgsconf,gerisoc [8] health,inequalities [7] older,people [7] care,home [7] michael,brady [7] gerisoc,#bgsconf [7] bent_dh,#bgsconf [6] people,particularly Top Word Pairs in Tweet in G7:
[5] care,homes [5] bgs,autumn [4] #carehome,#research [4] #research,infrastructure [4] infrastructure,pre [4] pre,pandemic [4] pandemic,adamgordon1978 [4] adamgordon1978,enrichscotland [4] enrichscotland,coming [4] coming,stream Top Word Pairs in Tweet in G8:
[8] #bgsconf,#virtualconference [8] #virtualconference,#homequarantine [2] syncope,aint [2] aint,straightforward [2] straightforward,elderly [2] elderly,#bgsconf Top Word Pairs in Tweet in G9:
[10] ehch,acp [10] hear,1ry [10] 1ry,2ry [10] 2ry,care [10] care,interface [10] interface,practice [10] practice,mdt [10] mdt,approach [8] gp,reg [7] today,#bgsconf Top Word Pairs in Tweet in G10:
[3] gerisoc,#bgsconf [3] #bgsconf,drandyclegg [3] drandyclegg,jufrost [3] uemshealthstats,care75study [3] care75study,#proudsupervisors [2] congratulations,peninsula_arc [2] peninsula_arc,exetermed [2] exetermed,phd [2] phd,student [2] student,emily_alice_92 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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: