The graph represents a network of 6,771 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, 29 November 2019 at 14:55 UTC.
The requested start date was Friday, 29 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 1-day, 2-hour, 22-minute period from Wednesday, 27 November 2019 at 20:40 UTC to Thursday, 28 November 2019 at 23:03 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 : 6771
Unique Edges : 8169
Edges With Duplicates : 1645
Total Edges : 9814
Number of Edge Types : 3
Tweet : 1335
Mentions : 8157
Replies to : 322
Self-Loops : 1335
Reciprocated Vertex Pair Ratio : 0.0139345339818588
Reciprocated Edge Ratio : 0.0274860624918968
Connected Components : 1180
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 3551
Maximum Edges in a Connected Component : 6291
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.155344
Graph Density : 0.000168260373602166
Modularity : 0.785212
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,771 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, 29 November 2019 at 14:55 UTC.
The requested start date was Friday, 29 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 1-day, 2-hour, 22-minute period from Wednesday, 27 November 2019 at 20:40 UTC to Thursday, 28 November 2019 at 23:03 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:
[329] tipping,points [329] climate,change [180] sea,ice [172] arctic,sea [159] ice,sheet [152] greenland,ice [149] points,arctic [149] ice,greenland [149] sheet,boreal [149] boreal,forests Top Word Pairs in Tweet in G1:
[57] climate,change [28] #climatechange,#climateemergency [27] tipping,points [18] #climateemergency,#climatechange [12] #globalwarming,#climatechange [12] #climatechange,#climatecrisis [10] #climatechange,#climatedebate [9] crossed,tipping [8] climate,emergency [8] world,'may Top Word Pairs in Tweet in G2:
[68] leaders,debate [68] debate,#climatechange [66] tonight,channel4news [61] channel4news,hosting [60] hey,borisjohnson [60] borisjohnson,tonight [60] hosting,first [60] first,leaders [60] #climatechange,major [59] joannaccherry,hey Top Word Pairs in Tweet in G3:
[229] tipping,points [133] ice,sheet [132] points,arctic [132] arctic,sea [132] sea,ice [132] ice,greenland [132] greenland,ice [132] sheet,boreal [132] boreal,forests [132] forests,permafrost Top Word Pairs in Tweet in G4:
[39] time,running [39] running,greenpeace [39] greenpeace,chile [39] chile,activists [39] activists,show [39] show,direct [39] direct,impacts [39] impacts,#climatechange [39] #climatechange,aculeo [39] aculeo,lagoon Top Word Pairs in Tweet in G5:
[24] tackle,#climatechange [23] time,running [21] running,tackle [21] #climatechange,longer [21] longer,wait [21] wait,shift [21] shift,#zerocarbon [21] #zerocarbon,#resilience [21] #resilience,harder [20] #cop25,madrid Top Word Pairs in Tweet in G6:
[4] boris,johnson's [4] dr,viner [4] viner,ipcc_ch [4] ipcc_ch,csiro [4] csiro,end [4] end,snow [4] snow,predictions [4] predictions,northern [4] northern,hemisphere [4] hemisphere,experienced Top Word Pairs in Tweet in G7:
[83] public,ownership [83] ownership,save [83] save,money [83] money,won [83] won,paying [83] paying,fortune [83] fortune,shareholders [83] shareholders,dividends [83] dividends,means [82] mikedavieslab,public Top Word Pairs in Tweet in G8:
[102] little,50 [102] 50,make [102] make,huge [102] huge,difference [102] difference,help [102] help,fight [102] fight,#climatechange [102] #climatechange,help [102] help,#plantatree [100] woodlandtrust,little Top Word Pairs in Tweet in G9:
[41] whilst,joswinson [41] joswinson,making [41] making,clear [41] clear,libdems [41] libdems,take [41] take,tough [41] tough,decisions [41] decisions,make [41] make,difference [39] climate,change Top Word Pairs in Tweet in G10:
[5] time,running [4] running,stop [4] stop,catastrophic [4] catastrophic,#climatechange [4] #climatechange,leaders [4] leaders,down [4] down,people [4] people,worldwide [4] signed,friends_earth [4] s_tooting,paulalabour Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: