The graph represents a network of 3,976 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 Friday, 15 November 2019 at 16:44 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 46-minute period from Friday, 01 November 2019 at 10:48 UTC to Thursday, 14 November 2019 at 22:34 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 : 3976
Unique Edges : 6311
Edges With Duplicates : 2236
Total Edges : 8547
Number of Edge Types : 3
Mentions : 7390
Tweet : 1054
Replies to : 103
Self-Loops : 1054
Reciprocated Vertex Pair Ratio : 0.0660162601626016
Reciprocated Edge Ratio : 0.12385600976205
Connected Components : 420
Single-Vertex Connected Components : 140
Maximum Vertices in a Connected Component : 2534
Maximum Edges in a Connected Component : 6160
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.721675
Graph Density : 0.000414815939663136
Modularity : 0.689051
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,976 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 Friday, 15 November 2019 at 16:44 UTC.
The requested start date was Friday, 15 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 46-minute period from Friday, 01 November 2019 at 10:48 UTC to Thursday, 14 November 2019 at 22:34 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[588] dust,level [464] à,à [408] ugr,m3 [330] #citizenscience,#luftdaten [329] m3,#fijnstof [329] #fijnstof,#airpollution [329] #airpollution,#waalre [329] #waalre,#citizenscience [294] m3,wind [294] wind,direction Top Word Pairs in Tweet in G1:
[73] citizen,science [43] ðÿ,ðÿ [41] check,out [37] #citizenscience,community [34] youtube,video [31] #citizenscience,project [31] need,help [29] side,event [28] understanding,field [28] ',#citizenscience Top Word Pairs in Tweet in G2:
[588] dust,level [408] ugr,m3 [329] m3,#fijnstof [329] #fijnstof,#airpollution [329] #airpollution,#waalre [329] #waalre,#citizenscience [329] #citizenscience,#luftdaten [294] m3,wind [294] wind,direction [294] level,#pm10 Top Word Pairs in Tweet in G3:
[44] observation,day [41] more,details [26] inaturalist,observation [20] day,asian [20] asian,vine [20] vine,#snake [20] #snake,seen [20] seen,#thailand [20] #thailand,davidk91 [20] davidk91,more Top Word Pairs in Tweet in G4:
[58] ðÿ,ðÿ [19] tree,frog [18] frogid,week [14] ðÿ,frogid [14] week,days [14] days,away [14] away,ðÿ [14] ðÿ,start [14] start,planning [14] planning,now Top Word Pairs in Tweet in G5:
[23] handy,tool [23] tool,tells [23] tells,feeders [23] feeders,food [23] food,types [23] types,backyard [23] backyard,birds [22] cornellbirds,handy [21] project,feederwatch [20] birds,useâ Top Word Pairs in Tweet in G6:
[46] use,#citizenscience [46] #citizenscience,data [43] special,feature [42] pan_bes,funecology [40] new,special [34] britishecolsoc,journals [33] looking,submissions [33] submissions,new [31] animalecology,use [30] data,britishecolsoc Top Word Pairs in Tweet in G7:
[14] #citizenscience,project [13] biomedical,research [12] more,1300 [12] 1300,images [12] images,rewildapennines [12] rewildapennines,identified [12] identified,enthusiasts [12] enthusiasts,last [12] last,month [12] month,thx Top Word Pairs in Tweet in G8:
[86] breeding,bird [86] bird,survey [39] populations,increased [39] uk,survey [37] bbs_birds,breeding [31] waterways,breeding [31] waterway,habitats [29] bbs_birds,waterways [26] 1994,find [25] survey,data Top Word Pairs in Tweet in G9:
[42] #nationalstemday,inspire [42] inspire,inspire [42] inspire,others [42] others,#citizenscience [42] #citizenscience,projects [42] projects,part [41] nsf,#nationalstemday [41] part,s [16] #sciart,#sciartsunday [16] #sciartsunday,#jupiter Top Word Pairs in Tweet in G10:
[17] ecological,databases [16] new,paper [16] paper,shows [16] shows,massive [16] massive,contribution [16] contribution,#citizenscience [16] #citizenscience,big [16] big,ecological [16] databases,esp [16] esp,midwestern 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: