The graph represents a network of 4,138 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, 15 October 2020 at 03:11 UTC.
The requested start date was Thursday, 15 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 13-day, 13-hour, 25-minute period from Thursday, 01 October 2020 at 00:21 UTC to Wednesday, 14 October 2020 at 13:47 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 : 4138
Unique Edges : 3405
Edges With Duplicates : 10369
Total Edges : 13774
Number of Edge Types : 5
Mentions : 2556
Retweet : 4087
MentionsInRetweet : 6338
Tweet : 663
Replies to : 130
Self-Loops : 689
Reciprocated Vertex Pair Ratio : 0.0731142989356779
Reciprocated Edge Ratio : 0.136265631737818
Connected Components : 338
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 2990
Maximum Edges in a Connected Component : 11742
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.404537
Graph Density : 0.000406392791688908
Modularity : 0.433467
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,138 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, 15 October 2020 at 03:11 UTC.
The requested start date was Thursday, 15 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 13-day, 13-hour, 25-minute period from Thursday, 01 October 2020 at 00:21 UTC to Wednesday, 14 October 2020 at 13:47 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:
[227] citizen,science [224] #citizenscience,project [219] 2020,10 [123] utc,time [120] time,raspishake [120] grassland,#fungi [112] m5,#earthquake [105] preliminary,m5 [102] world,waxcap [96] #earthquake,detected Top Word Pairs in Tweet in G1:
[83] #citizenscience,#sdgs [82] citizen,science [46] cs_sdg2020,conference [32] last,day [29] looking,forward [28] #cs_sdg2020,conference [28] special,issue [27] day,register [25] today,help [23] register,cs_sdg2020 Top Word Pairs in Tweet in G2:
[58] citizen,science [47] #citizenscience,project [34] day,emcr [31] scistarter,#citizenscience [29] great,southern [27] early,mid [27] mid,career [27] today,join [27] join,emcr [27] #citsciozonline,5pm Top Word Pairs in Tweet in G3:
[113] grassland,#fungi [95] world,waxcap [83] one,biggest [83] biggest,treats [83] treats,#autumn [83] #autumn,undoubtedly [83] undoubtedly,discovering [83] discovering,magical [83] magical,world [83] waxcap,grassland Top Word Pairs in Tweet in G4:
[78] house,martin [62] results,house [62] martin,nest [62] nest,study [62] study,ibis_journal [62] ibis_journal,shedding [62] shedding,light [62] light,help [62] help,declining [62] declining,migrant Top Word Pairs in Tweet in G5:
[43] beyond,solar [43] solar,system [41] nasaâ,transit [41] transit,exoplanet [41] exoplanet,surveying [41] surveying,satellite [41] satellite,tess [41] tess,collects [41] collects,hundreds [41] hundreds,thousands Top Word Pairs in Tweet in G6:
[219] 2020,10 [123] utc,time [120] time,raspishake [112] m5,#earthquake [105] preliminary,m5 [96] #earthquake,detected [87] raspishake,network [86] raspishake,2020 [85] raspishakeq,preliminary [84] raspishakeq,raspishake Top Word Pairs in Tweet in G7:
[36] m3,pm10 [36] 10,2020 [36] #citizenscience,#opendata [36] #opendata,#fcub [25] hierholzer,weiher [25] weiher,ph [25] ph,wert [25] wert,hoch [25] hoch,liegt [25] liegt,aktuell Top Word Pairs in Tweet in G8:
[24] spatial,modelling [24] modelling,ecological [24] ecological,indicator [24] indicator,values [24] values,improves [24] improves,predictions [24] predictions,plant [24] plant,distributions [24] distributions,complex [24] complex,landscapes Top Word Pairs in Tweet in G9:
[75] ayudas,tus [75] tus,respuestas [42] grandes,diferencias [42] riesgo,contraer [42] contraer,coronavirus [42] coronavirus,realidad [42] realidad,ayudas [41] nuriaoliver,grandes [31] diferencias,percepción [31] percepción,riesgo Top Word Pairs in Tweet in G10:
[11] gardens,preparing [11] preparing,rest [11] rest,over [11] over,#winter [11] #winter,know [11] know,plants [11] plants,uk [11] uk,#gardens [11] #gardens,troublesome [10] plant_alert,gardens Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: