The graph represents a network of 3,445 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, 03 September 2020 at 03:11 UTC.
The requested start date was Thursday, 03 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, 15-hour, 50-minute period from Thursday, 20 August 2020 at 01:25 UTC to Wednesday, 02 September 2020 at 17:16 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 : 3445
Unique Edges : 2565
Edges With Duplicates : 7214
Total Edges : 9779
Number of Edge Types : 5
Tweet : 599
Retweet : 2893
MentionsInRetweet : 4363
Mentions : 1833
Replies to : 91
Self-Loops : 626
Reciprocated Vertex Pair Ratio : 0.0591939546599496
Reciprocated Edge Ratio : 0.111771700356718
Connected Components : 324
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 2234
Maximum Edges in a Connected Component : 7623
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.315221
Graph Density : 0.000425299504912943
Modularity : 0.469422
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,445 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, 03 September 2020 at 03:11 UTC.
The requested start date was Thursday, 03 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, 15-hour, 50-minute period from Thursday, 20 August 2020 at 01:25 UTC to Wednesday, 02 September 2020 at 17:16 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:
[164] citizen,science [161] #citizenscience,project [154] utc,time [149] take,picture [149] please,take [148] picture,report [147] important,reminder [147] reminder,find [147] find,dead [147] dead,#salamander Top Word Pairs in Tweet in G1:
[54] nnlmaou,online [28] great,southern [26] online,august [26] #citizenscience,projects [26] learn,make [25] climate,change [24] scistarter,#citizenscience [23] citizen,science [23] southern,bioblitz [22] help,track Top Word Pairs in Tweet in G2:
[57] #citizenscience,projects [53] citizen,science [35] projects,related [33] #citizenscience,help [32] open,call [32] support,#sdgs [30] #citsci,project [28] help,support [26] related,form [26] contributions,needed Top Word Pairs in Tweet in G3:
[144] important,reminder [144] reminder,find [144] find,dead [144] dead,#salamander [144] #salamander,please [144] please,take [144] take,picture [144] picture,report [143] myfrogcroaked,important [9] #canada,#alberta Top Word Pairs in Tweet in G4:
[98] first,#flyagaric [98] #flyagaric,mushroom [98] mushroom,year [98] year,sure [98] sure,sign [98] sign,seasons [98] seasons,changing [98] changing,spotted [97] woodlandtrust,first [97] spotted,reco Top Word Pairs in Tweet in G5:
[34] global,shorebird [34] shorebird,counts [34] review,paper [31] #shorebirds,#citizenscience [28] paper,#citizenscience [28] #citizenscience,#communityscience [28] #communityscience,discusses [28] discusses,types [28] types,values [28] values,challenges Top Word Pairs in Tweet in G6:
[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 [21] citizen,science Top Word Pairs in Tweet in G7:
[154] utc,time [142] time,raspishake [139] 2020,08 [121] preliminary,m5 [121] m5,#earthquake [106] raspishakeq,preliminary [84] #raspberryshake,#citizenscience [78] recorded,#raspberryshake [76] #citizenscience,seismic [76] seismic,network Top Word Pairs in Tweet in G8:
[53] good,reminder [44] video,maine [44] maine,lobsterman [44] lobsterman,cole [44] cole,mcenroe [44] mcenroe,mako [44] mako,shark [44] shark,feeding [44] feeding,harbor [44] harbor,porpoise Top Word Pairs in Tweet in G9:
[31] great,news [31] news,observations [31] observations,found [31] found,gbif [31] gbif,nearly [31] nearly,40 [31] 40,million [31] million,sightings [30] observado,great [30] sightings,mo Top Word Pairs in Tweet in G10:
[40] wecounth,pilot [40] pilot,smartdublin [40] smartdublin,expanding [40] expanding,dlrcc [40] dlrcc,looking [40] looking,more [40] more,#sustainability [40] #sustainability,conscious [40] conscious,local [39] f_pilla,wecounth Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: