The graph represents a network of 7,252 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 19:56 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 6-hour, 46-minute period from Tuesday, 20 October 2020 at 17:14 UTC to Sunday, 25 October 2020 at 00:00 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 : 7252
Unique Edges : 6274
Edges With Duplicates : 14245
Total Edges : 20519
Number of Edge Types : 5
Mentions : 4836
Retweet : 5184
MentionsInRetweet : 8916
Tweet : 1165
Replies to : 418
Self-Loops : 1259
Reciprocated Vertex Pair Ratio : 0.0509973654497554
Reciprocated Edge Ratio : 0.0970456580125336
Connected Components : 605
Single-Vertex Connected Components : 213
Maximum Vertices in a Connected Component : 5601
Maximum Edges in a Connected Component : 18204
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.617805
Graph Density : 0.000212421011522613
Modularity : 0.490396
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,252 Twitter users whose tweets in the requested range contained "scicomm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 19:56 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 6-hour, 46-minute period from Tuesday, 20 October 2020 at 17:14 UTC to Sunday, 25 October 2020 at 00:00 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 : scicomm
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[334] light,speed [334] speed,fast [334] fast,slow [334] slow,#scicomm [333] physicsj,light [314] uh,mapped [314] mapped,middle [314] middle,earth [314] earth,petrology [314] petrology,students Top Word Pairs in Tweet in G1:
[44] #scicomm,#sciwri20 [35] #scipol,#scicomm [31] science,communication [31] #sciwri20,#scicomm [29] #scicomm,skills [28] ophthopedia,update [27] interactive,workshop [27] #scicomm,sciencewriters [26] science,journalism [24] #ophthalmology,#ophthotwitter Top Word Pairs in Tweet in G2:
[55] #womeninstem,#scicomm [47] phrases,strike [47] strike,#scicomm [47] #scicomm,vocabulary [47] vocabulary,obviously [47] obviously,see [47] see,know [46] scottishscicomm,phrases [44] 10,fave [44] fave,#blpoc Top Word Pairs in Tweet in G3:
[307] uh,mapped [307] mapped,middle [307] middle,earth [307] earth,petrology [307] petrology,students [307] students,match [307] match,thin [307] thin,sections [307] sections,sam [307] sam,frodo Top Word Pairs in Tweet in G4:
[37] thepeopleshubuk,delusionalacad1 [34] jeremyfarrar,ukri_ceo [32] do_kinder,bullyingalberta [31] drumeshprabhu,talal_al_shamri [30] bullyingalberta,jeremyfarrar [30] jeremyfarrar,bulliescampaign [30] laura_corbeth,matthijsseamy [29] talal_al_shamri,jeremyfarrar [29] delusionalacad1,psychmh [29] psychmh,tracyboylin Top Word Pairs in Tweet in G5:
[333] light,speed [333] speed,fast [333] fast,slow [333] slow,#scicomm [332] physicsj,light Top Word Pairs in Tweet in G6:
[62] next,week [59] scicomm,training [49] lgbtqia,interested [49] interested,scicomm [49] running,intro [49] intro,scicomm [47] sarah_cosgriff,lgbtqia [45] training,next [45] two,live [41] scicomm,running Top Word Pairs in Tweet in G7:
[24] openacademics,academicchatter [22] academicchatter,#scicomm [21] #phdchat,phdvoice [20] phdvoice,openacademics [19] cazembekennedy,#academictwitter [19] #academictwitter,#phdchat [19] #scicomm,#medtwitter [19] #medtwitter,#sciencetwitter [19] #sciencetwitter,#phdlife [19] #academicchatter,#academictwitter Top Word Pairs in Tweet in G8:
[10] #science,#scicomm [7] #scicomm,#science [6] ways,speaking [5] science,communication [4] #sciencetwitter,#scicomm [4] learn,more [4] #scicomm,#speaking [4] #scicomm,#presenting [4] #animals,#wildlife [3] covid,19 Top Word Pairs in Tweet in G9:
[11] monoclonal,antibody [10] dissecting,superspreading [10] superspreading,events [10] events,help [10] help,people [10] people,take [10] take,#covid19 [10] #covid19,measures [10] measures,seriously [9] caulfieldtim,dissecting Top Word Pairs in Tweet in G10:
[21] disinformation,creating [21] creating,problems [21] problems,battling [21] battling,pandemic [21] pandemic,cpho_canada [21] cpho_canada,mrabson [21] mrabson,globeandmail [21] globeandmail,#covid19 [20] picardonhealth,disinformation [19] evolving,science 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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