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#BGSConf Twitter NodeXL SNA Map and Report for Wednesday, 29 April 2020 at 17:52 UTC (experimental version)
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From:
scotpublichealth
Uploaded on:
April 29, 2020
Short Description:
#BGSConf via NodeXL https://bit.ly/2W90Spc
@trisha_the_doc
@gerisoc
@janetthomas47
@adamgordon1978
@agilecsp
@tashmasud
@denise_j6
@claireclarkslt
@saeboukglyn
@clifford0584

Top hashtags:
#bgsconf
#covid19
#webinar
#foamed
#rehab
#carehomes
#mdtfamily
#mdt
#bgsscot20

Description:
Description
The graph represents a network of 38 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, 29 April 2020 at 17:52 UTC.

The tweets in the network were tweeted over the 20-hour, 28-minute period from Tuesday, 28 April 2020 at 11:16 UTC to Wednesday, 29 April 2020 at 07:45 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


Overall Graph Metrics
Vertices : 38
Unique Edges : 44
Edges With Duplicates : 57
Total Edges : 101
Self-Loops : 15
Reciprocated Vertex Pair Ratio : 0.133333333333333
Reciprocated Edge Ratio : 0.235294117647059
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 35
Maximum Edges in a Connected Component : 98
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.865041
Graph Density : 0.0362731152204836
Modularity : 0.25522
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 38 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, 29 April 2020 at 17:52 UTC.

The tweets in the network were tweeted over the 20-hour, 28-minute period from Tuesday, 28 April 2020 at 11:16 UTC to Wednesday, 29 April 2020 at 07:45 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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[3] twitter.com

Top Domains in Tweet in G1:
[3] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[50] bgsconf
[41] covid19
[6] webinar
[2] foamed
[1] rehab
[1] carehomes
[1] mdtfamily
[1] mdt
[1] bgsscot20
[1] stoppjparalysis



Top Hashtags in Tweet in G1:
[32] bgsconf
[27] covid19
[5] webinar
[1] stoppjparalysis
[1] bgsscot20

Top Hashtags in Tweet in G2:
[11] covid19
[5] bgsconf
[1] webinar

Top Hashtags in Tweet in G3:
[10] bgsconf
[3] covid19
[1] mdt
[1] mdtfamily

Top Hashtags in Tweet in G4:
[2] foamed
[2] bgsconf

Top Hashtags in Tweet in G5:
[1] bgsconf
[1] rehab
[1] carehomes

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[37] tonight,s
[32] s,#covid19
[31] #covid19,#bgsconf
[21] #bgsconf,#webinar
[19] lots,reorganisation
[14] reorganisation,happened
[14] happened,start
[14] start,pandemic
[14] pandemic,sudden
[14] sudden,people

Top Word Pairs in Tweet in G1:
[30] tonight,s
[27] s,#covid19
[26] #covid19,#bgsconf
[17] #bgsconf,#webinar
[16] lots,reorganisation
[13] reorganisation,happened
[13] happened,start
[13] start,pandemic
[13] pandemic,sudden
[13] sudden,people

Top Word Pairs in Tweet in G2:
[6] tonight,s
[5] #covid19,pandemic
[4] #bgsconf,#webinar
[4] s,#covid19
[4] #covid19,#bgsconf
[3] now,chance
[3] chance,increase
[3] increase,patient
[3] patient,public
[3] public,participation

Top Word Pairs in Tweet in G3:
[4] webinar,tonight
[3] very,informative
[3] informative,#bgsconf
[3] #bgsconf,webinar
[3] tonight,thank
[3] thank,learning
[3] learning,points
[3] points,similar
[3] similar,issues
[3] issues,highlighted

Top Word Pairs in Tweet in G4:
[2] frailty,mis
[2] mis,conceptions
[2] conceptions,#foamed
[2] #foamed,#bgsconf

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@edinburghwatch
@sameihuda
@shirleyyoung2
@drlindadykes
@mancunianmedic
@mredinburgh
@trisha_the_doc
@clifford0584
@4adsthepoet
@jfr4ser

Top Tweeters in G1:
@sameihuda
@shirleyyoung2
@drlindadykes
@mancunianmedic
@mredinburgh
@trisha_the_doc
@clifford0584
@4adsthepoet
@jfr4ser
@profjuneg

Top Tweeters in G2:
@edinburghwatch
@nchadborn
@gerisoc
@peashen
@roshni_beeharry
@seamus0brien2

Top Tweeters in G3:
@saeboukglyn
@janetthomas47
@lynseyferguson6
@agilecsp

Top Tweeters in G4:
@2minuteem
@sharmellasumman

Top Tweeters in G5:
@yarrowlesley


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