The graph represents a network of 2,559 Twitter users whose tweets in the requested range contained "#shefunilife OR "Sheffield University" OR sheffielduni", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 01:52 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 22-hour, 38-minute period from Wednesday, 30 October 2019 at 01:25 UTC to Wednesday, 06 November 2019 at 00:04 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 : 2559
Unique Edges : 4027
Edges With Duplicates : 1544
Total Edges : 5571
Number of Edge Types : 3
Tweet : 146
Mentions : 5109
Replies to : 316
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.0435891490841642
Reciprocated Edge Ratio : 0.0835369917796045
Connected Components : 103
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 2361
Maximum Edges in a Connected Component : 5330
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.578604
Graph Density : 0.000687603671415578
Modularity : 0.604107
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,559 Twitter users whose tweets in the requested range contained "#shefunilife OR %22Sheffield University%22 OR sheffielduni", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 01:52 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 22-hour, 38-minute period from Wednesday, 30 October 2019 at 01:25 UTC to Wednesday, 06 November 2019 at 00:04 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 : #shefunilife OR %22Sheffield University%22 OR sheffielduni
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:
[684] sheffield,university [535] wearing,sombreros [533] university,banned [513] students,wearing [512] banned,students [506] sombreros,halloween [502] unreal,sheffield [502] halloween,deemed [502] deemed,cultural [501] leaveeuofficial,unreal Top Word Pairs in Tweet in G1:
[65] cfp,feeling [65] feeling,class [65] class,1 [65] 1,day [65] day,conference [65] conference,classed [65] classed,dynamics [65] dynamics,emotion [65] emotion,affect [65] affect,embodiment Top Word Pairs in Tweet in G2:
[500] sheffield,university [499] unreal,sheffield [499] university,banned [499] banned,students [499] students,wearing [499] wearing,sombreros [499] sombreros,halloween [499] halloween,deemed [499] deemed,cultural [498] leaveeuofficial,unreal Top Word Pairs in Tweet in G3:
[15] white,rose [12] time,year [12] excited,holding [12] holding,networking [12] networking,event [12] event,focused [12] focused,#child [12] #child,#adolescent [12] #adolescent,#sleep [12] #sleep,#research Top Word Pairs in Tweet in G4:
[6] elonmusk,nasa [6] nasa,nasajpl [6] nasajpl,spacex [6] spacex,esa [6] esa,esaoperations [6] esaoperations,richardbranson [6] richardbranson,blueorigin [6] blueorigin,space_station [6] space_station,cornwallspace [5] sheffielduni,officialuom Top Word Pairs in Tweet in G5:
[2] sheffielduni,imperialcollege [2] imperialcollege,uniofnewcastle [2] unibirmingham,storage_esa [2] storage_esa,crrc_global [2] ukhouseoflords,ukparliament [2] uniofoxford,uniofyork [2] cambridge_uni,bristoluni [2] bristoluni,sheffielduni [2] universite_caen,coordonné [2] coordonné,par Top Word Pairs in Tweet in G6:
[9] uukha2017,sheffielduni [8] #december2018traineenursingassociates,#october2019traineenursingassociates [8] #october2019traineenursingassociates,look [7] commemorate,#internationaldaytoendimpunity [7] #internationaldaytoendimpunity,#idei [7] #idei,sharing [7] sharing,special [7] special,piece [7] piece,written [7] written,jackieharrison6 Top Word Pairs in Tweet in G7:
[21] fun,recording [21] recording,bbcinourtime [21] bbcinourtime,going [21] going,out [21] out,tomorrow [21] tomorrow,9 [21] 9,tune [21] tune,hear [21] hear,sandyknapp [21] sandyknapp,steve Top Word Pairs in Tweet in G8:
[36] bbcsheffield,sheffielduni [30] hunters,bar [29] andyksheffield,bbcsheffield [29] bar,infant [29] infant,school [29] school,sheffield [29] sheffield,new [29] new,60 [29] 60,m [29] m,perimeter Top Word Pairs in Tweet in G9:
[32] sheffield,university [7] fancy,dress [6] university,bans [6] university,1990 [5] dressing,up [5] wearing,sombrero [5] sombrero,fancy [5] #nowplaying,#6music [5] #tattoo,#tattoos [5] #tattoos,#tattooed Top Word Pairs in Tweet in G10:
[13] re,thrilled [13] thrilled,ve [13] ve,successful [13] successful,ace_national [13] ace_national,bid [13] bid,major [13] major,funding [13] funding,improve [13] improve,digital [13] digital,capacity Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: