The graph represents a network of 3 031 Twitter users whose recent tweets contained "#arctic", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 06 November 2022 at 08:41 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 59-minute period from Friday, 28 October 2022 at 11:51 UTC to Sunday, 06 November 2022 at 05:50 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 : 3031
Unique Edges : 4668
Edges With Duplicates : 1544
Total Edges : 6212
Number of Edge Types : 5
MentionsInRetweet : 1967
Mentions : 1067
Retweet : 2564
Tweet : 425
Replies to : 189
Self-Loops : 459
Reciprocated Vertex Pair Ratio : 0,016530612244898
Reciprocated Edge Ratio : 0,0325235896406344
Connected Components : 294
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 2067
Maximum Edges in a Connected Component : 4479
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5,964232
Graph Density : 0,000542360405621559
Modularity : 0,738596
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 3 031 Twitter users whose recent tweets contained "#arctic", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 06 November 2022 at 08:41 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 59-minute period from Friday, 28 October 2022 at 11:51 UTC to Sunday, 06 November 2022 at 05:50 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 : TwitterSearch
Graph Term : #arctic
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[714] study,#arctic [515] #arctic,marine [478] candidates,ad [478] jan,sept [478] sept,2023 [478] starts,jan [478] 2023,interested [478] interested,candidates [452] sea,ice [368] #arctic,nature Top Word Pairs in Tweet in G1:
[529] study,#arctic [497] #arctic,marine [465] 2023,interested [465] candidates,ad [465] sept,2023 [465] interested,candidates [465] starts,jan [465] jan,sept [302] based,uvicseos [302] phd,student Top Word Pairs in Tweet in G2:
[359] beluga,whales [359] #energy,#nature [359] amazing,protect [359] watch,800 [359] #actonclimate,#climate [359] #climate,#energy [359] nature,amazing [359] #rewilding,#greennewdeal [359] whales,migrating [359] moment,watch Top Word Pairs in Tweet in G3:
[21] amanda,kowalski [21] #arctic,warming [20] climate,change [19] article,pls [19] ed,article [19] abstract,november [19] cfp,2023 [19] opt,ed [19] series,#future [19] pls,submit Top Word Pairs in Tweet in G4:
[280] sea,ice [174] 000,km [127] #arctic,sea [105] ice,extent [66] decreasing,sea [63] arctic,amplification [63] copernicusecmwf,era5 [63] data,copernicusecmwf [56] 44,coldest [56] era,updated Top Word Pairs in Tweet in G5:
[170] modeling,machine [170] focused,carbon [170] ph,student [170] learning,research [170] climate,feedbacks [170] student,study [170] ecology,range [170] tools,including [170] range,tools [170] water,energy Top Word Pairs in Tweet in G6:
[7] #benjamin,#sleepy [7] #sleepy,#arctic [7] #arctic,#pyramiden [7] #spot,#bestspot [7] #bestspot,#benjamin [7] #pyramiden,#svalbard [7] #svalbard,#destination [5] fish,arctic [5] sea,ice [5] #environment,#climatechange Top Word Pairs in Tweet in G7:
[40] sq,km [20] 1991,2020 [20] #svalbard,#seaice [20] 2020,average [20] km,1991 [20] #seaice,ice [20] average,#arctic [20] ice,chart [11] nov,2022 [9] oct,2022 Top Word Pairs in Tweet in G8:
[116] auroraisnear,nearity_org [116] aurority_com,arctic_trade [116] arctic_trade,auroraisnear [26] nearity_org,#arctic [11] #arctic,project [6] core,member [6] member,#arctic [6] features,#arctic [6] #aurora,ecosystem [6] #aurority,aurora Top Word Pairs in Tweet in G9:
[137] sea,ice [68] state,art [68] ice,extent [68] coast,changes [68] ice,loss [68] extent,#arctic [68] art,#copernicusoceanstatereport [68] #arctic,decreased [68] loss,siberian [68] ocean,state Top Word Pairs in Tweet in G10:
[20] advertised,drsianhenley [20] drsianhenley,mariepporter [20] ice,melt [20] barents,sea [20] impact,ice [20] e3dtp,samsoceannews [20] sea,#arctic [20] #phd,project [20] melt,barents [20] project,advertised Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
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: