The graph represents a network of 958 Twitter users whose recent tweets contained #BGSconf or #BGSconfask, 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 19:11 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 : 958
Unique Edges : 2990
Edges With Duplicates : 4048
Total Edges : 7038
Self-Loops : 348
Reciprocated Vertex Pair Ratio : 0.100087796312555
Reciprocated Edge Ratio : 0.18196328810854
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 953
Maximum Edges in a Connected Component : 7032
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.414471
Graph Density : 0.00410010405691062
Modularity : 0.242992
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 41 Twitter users whose recent tweets contained "#BGSconfask", 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 19:11 UTC.
The tweets in the network were tweeted over the 2-day, 6-hour, 58-minute period from Tuesday, 23 November 2021 at 09:56 UTC to Thursday, 25 November 2021 at 16:54 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 : #BGSconfask
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 [76] gerisoc,#bgsconf [63] front,door [63] take,home [61] delirium,hub [60] 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:
[37] older,people [29] new,delirium [29] 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 G4:
[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 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:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: