The graph represents a network of 7,089 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 February 2020 at 16:30 UTC.
The requested start date was Friday, 21 February 2020 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 6-day, 2-hour, 16-minute period from Friday, 14 February 2020 at 14:22 UTC to Thursday, 20 February 2020 at 16:38 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 : 7089
Unique Edges : 8237
Edges With Duplicates : 1939
Total Edges : 10176
Number of Edge Types : 4
MentionsInRetweet : 5018
Tweet : 1370
Mentions : 3543
Replies to : 245
Self-Loops : 1370
Reciprocated Vertex Pair Ratio : 0.0185577942735949
Reciprocated Edge Ratio : 0.0364393545028631
Connected Components : 1408
Single-Vertex Connected Components : 567
Maximum Vertices in a Connected Component : 3267
Maximum Edges in a Connected Component : 5909
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.16491
Graph Density : 0.000152925064011996
Modularity : 0.764115
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7,089 Twitter users whose tweets in the requested range contained "#climatechange", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 21 February 2020 at 16:30 UTC.
The requested start date was Friday, 21 February 2020 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 6-day, 2-hour, 16-minute period from Friday, 14 February 2020 at 14:22 UTC to Thursday, 20 February 2020 at 16:38 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 : #climatechange
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:
[297] climate,change [87] #valentinesday2020,let's [87] let's,declare [87] declare,love [87] love,#ourplanet [87] #ourplanet,forests [87] forests,oceans [87] oceans,nature [86] euclimateaction,#valentinesday2020 [79] #climatecrisis,#climatechange Top Word Pairs in Tweet in G1:
[59] climate,change [18] #climatechange,#climatecrisis [14] #globalwarming,#climatechange [13] #climatechange,#globalwarming [11] #climatechange,#climateemergency [10] #climatechange,#environment [9] actions,currently [9] currently,taking [9] taking,#climatechange [9] #climatechange,explore Top Word Pairs in Tweet in G2:
[42] wtf,straight [42] straight,justintrudeau [42] justintrudeau,boost [42] boost,#oilandgas [42] #oilandgas,africa [42] africa,shitting [42] shitting,down [42] down,industry [41] albertagirl6,wtf [41] industry,cana Top Word Pairs in Tweet in G3:
[25] churchofengland,set [23] churches,faith [23] faith,based [23] based,organizations [23] organizations,around [22] set,#netzerocarbon [22] #netzerocarbon,target [22] target,operations [22] operations,2030 [21] 2030,churches Top Word Pairs in Tweet in G4:
[16] national,farmers [16] farmers,union [16] union,nfudc [16] nfudc,continues [16] continues,praise [16] praise,petebuttigieg [16] petebuttigieg,recognition [16] recognition,support [16] support,#farming [15] forlibrarians,national Top Word Pairs in Tweet in G5:
[47] great,turn [47] turn,inspring [47] inspring,speeches [47] speeches,#durham [47] #durham,city [47] city,running [47] running,time [47] time,time [47] time,act [47] act,#climatestrike Top Word Pairs in Tweet in G6:
[63] reality,#climatechange [63] #climatechange,largest [63] largest,gathering [63] gathering,mammals [63] mammals,planet [63] planet,pacific [63] pacific,walruses [62] rebeccah2020,reality [14] severity,locust [14] locust,attack Top Word Pairs in Tweet in G7:
[37] climate,deniers [35] #climatecrisis,#climatechange [34] geraldkutney,climate [28] #climatechange,#climatebrawl [23] climate,denial [18] denial,lost [17] climate,denier [16] sadly,four [16] four,decades [16] decades,ago Top Word Pairs in Tweet in G8:
[81] #valentinesday2020,let's [81] let's,declare [81] declare,love [81] love,#ourplanet [81] #ourplanet,forests [81] forests,oceans [81] oceans,nature [80] euclimateaction,#valentinesday2020 [8] european,lawmakers [8] lawmakers,called Top Word Pairs in Tweet in G9:
[77] noi,siamo [77] siamo,macron [77] macron,sui [77] sui,ghiacciai [77] ghiacciai,monte [77] monte,bianco [77] bianco,sottolineare [77] sottolineare,urgenza [77] urgenza,battaglia [77] battaglia,sul Top Word Pairs in Tweet in G10:
[14] #climatechange,#climateaction [12] talking,hydrogen [12] thank,repjasoncrow [12] repjasoncrow,being [12] being,latest [12] latest,cosponsor [12] cosponsor,#energyinnovationact [12] #energyinnovationact,rein [12] rein,#climatechange [11] citizensclimate,thank Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: