The graph represents a network of 4,265 Twitter users whose tweets in the requested range contained "citizenscience", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 03:10 UTC.
The requested start date was Thursday, 17 September 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 13-day, 13-hour, 6-minute period from Thursday, 03 September 2020 at 00:39 UTC to Wednesday, 16 September 2020 at 13:45 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
Vertices : 4265
Unique Edges : 3743
Edges With Duplicates : 10900
Total Edges : 14643
Number of Edge Types : 5
Retweet : 4204
MentionsInRetweet : 6643
Tweet : 770
Mentions : 2888
Replies to : 138
Self-Loops : 796
Reciprocated Vertex Pair Ratio : 0.0753724802804557
Reciprocated Edge Ratio : 0.140179299103504
Connected Components : 337
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 2956
Maximum Edges in a Connected Component : 12339
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.410741
Graph Density : 0.000404817782509144
Modularity : 0.415642
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,265 Twitter users whose tweets in the requested range contained "citizenscience", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 03:10 UTC.
The requested start date was Thursday, 17 September 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 13-day, 13-hour, 6-minute period from Thursday, 03 September 2020 at 00:39 UTC to Wednesday, 16 September 2020 at 13:45 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 : GraphServerTwitterSearch
Graph Term : citizenscience
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:
[348] citizen,science [210] open,call [194] #citizenscience,project [187] recovering,infectious [187] infectious,disease [186] nihdirector,recovering [185] always,straightforward [185] straightforward,process [185] process,learn [185] learn,health Top Word Pairs in Tweet in G1:
[135] citizen,science [74] #citizenscience,projects [70] #citizenscience,project [49] #citsci2020,conference [45] great,southern [45] southern,bioblitz [44] eucitsci,#citsci2020 [39] #citsci2020,#citizenscience [39] #biodiversity,#citizenscience [35] spotteron,#citsci2020 Top Word Pairs in Tweet in G2:
[187] recovering,infectious [187] infectious,disease [186] nihdirector,recovering [185] always,straightforward [185] straightforward,process [185] process,learn [185] learn,health [185] health,issues [185] issues,faced [149] disease,isn Top Word Pairs in Tweet in G3:
[32] much,needed [32] needed,resource [32] resource,indian [32] indian,spiders [32] spiders,indian [32] indian,#citizenscience [32] #citizenscience,available [32] available,active [32] active,spider_india [31] vijaybarve,much Top Word Pairs in Tweet in G4:
[24] published,find [24] find,biased [24] biased,site [24] site,selection [24] selection,low [24] low,observer [24] observer,retention [24] retention,#citizenscience [24] #citizenscience,affect [24] affect,accuracy Top Word Pairs in Tweet in G5:
[91] compelling,idea [91] idea,future [91] future,#space [91] #space,mission [91] mission,hear [91] hear,issuing [91] issuing,open [91] open,call [90] call,mis [22] avez,idée Top Word Pairs in Tweet in G6:
[40] gutachtens,urheberrechtlichen [40] urheberrechtlichen,fragen [40] fragen,#citizenscience [40] #citizenscience,mfnberlin [40] mfnberlin,habe [40] habe,whimsicalpowers [39] elleneuler,gutachtens [19] finde,heraus [16] citizen,science [15] science,festival Top Word Pairs in Tweet in G7:
[26] hierholzer,weiher [26] weiher,ph [26] ph,wert [26] wert,hoch [26] hoch,liegt [26] liegt,aktuell [26] aktuell,00 [26] 00,#monitoring [26] #monitoring,#citizenscience [13] citizen,science Top Word Pairs in Tweet in G8:
[85] impacto,emocional [85] emocional,pandemia [85] pandemia,covid [85] covid,19 [85] 19,rango [85] rango,edad [85] edad,jóvenes [85] jóvenes,reportan [85] reportan,reportan [85] reportan,mayores Top Word Pairs in Tweet in G9:
[170] 2020,09 [145] utc,time [139] time,raspishake [116] preliminary,m5 [116] m5,#earthquake [111] raspishake,network [103] #raspberryshake,#citizenscience [102] raspishakeq,preliminary [97] recorded,#raspberryshake [96] seismic,network Top Word Pairs in Tweet in G10:
[35] ebird,checklists [29] global,shorebird [28] shorebird,counts [23] come,join [21] join,program [21] program,sharing [20] #shorebirds,#waders [20] checklists,2020 [20] 2020,global [20] counts,submitted Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: