The graph represents a network of 19,261 Twitter users whose recent tweets contained ""air pollution"", 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, 22 March 2020 at 11:45 UTC.
The tweets in the network were tweeted over the 2-day, 11-hour, 23-minute period from Thursday, 19 March 2020 at 23:39 UTC to Sunday, 22 March 2020 at 11:02 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 : 19261
Unique Edges : 21001
Edges With Duplicates : 1774
Total Edges : 22775
Number of Edge Types : 5
Retweet : 12628
Tweet : 2808
Replies to : 1381
Mentions : 2427
MentionsInRetweet : 3531
Self-Loops : 2869
Reciprocated Vertex Pair Ratio : 0.00450332512960151
Reciprocated Edge Ratio : 0.00896627222019496
Connected Components : 2902
Single-Vertex Connected Components : 1599
Maximum Vertices in a Connected Component : 12380
Maximum Edges in a Connected Component : 15618
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 5.799703
Graph Density : 5.17108185890244E-05
Modularity : 0.844353
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 19,261 Twitter users whose recent tweets contained ""air pollution"", 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, 22 March 2020 at 11:45 UTC.
The tweets in the network were tweeted over the 2-day, 11-hour, 23-minute period from Thursday, 19 March 2020 at 23:39 UTC to Sunday, 22 March 2020 at 11:02 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 : "air pollution"
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[16875] air,pollution [4799] water,pollution [3380] slowing,down [3373] pollution,slowing [3366] down,water [3363] wildlife,returning [3355] pollution,clearing [3348] returning,home [3340] natural,wildlife [3324] recovering,air Top Word Pairs in Tweet in G1:
[3124] air,pollution [3121] water,pollution [3120] wow,earth [3120] earth,recovering [3120] pollution,slowing [3120] slowing,down [3120] pollution,clearing [3120] natural,wildlife [3120] wildlife,returning [3120] returning,home Top Word Pairs in Tweet in G2:
[1711] air,pollution [1707] pollution,over [1707] over,china [1706] satellite,imagery [1706] imagery,shows [1706] shows,dramatic [1706] dramatic,reduction [1706] reduction,air [1706] china,novel [1706] novel,coronavirus Top Word Pairs in Tweet in G3:
[1523] air,pollution [208] pollution,co2 [198] fall,rapidly [197] co2,fall [193] rapidly,virus [193] virus,spreads [183] coronavirus,air [177] covid,19 [101] bbc,news [86] shut,down Top Word Pairs in Tweet in G4:
[1379] air,pollution [1375] water,pollution [1369] coronavirus,reduced [1369] reduced,air [1369] pollution,water [1369] pollution,demonstrate [1369] demonstrate,virus [1369] virus,people [1369] people,problem [1369] problem,number Top Word Pairs in Tweet in G5:
[738] air,pollution [622] animation,shows [622] shows,air [621] clearing,during [612] pollution,china [599] coronavirus,outbreak [594] china,clearing [592] during,coronavirus [577] outbreak,take [577] take,look Top Word Pairs in Tweet in G6:
[628] air,pollution [609] boars,middle [609] middle,hometown [609] hometown,dolphins [609] dolphins,port [609] port,cagliari [609] cagliari,ducks [609] ducks,fountains [609] fountains,rome [609] rome,venice Top Word Pairs in Tweet in G7:
[567] air,pollution [101] coronavirus,air [101] pollution,co2 [100] co2,fall [100] fall,rapidly [100] rapidly,virus [100] virus,spreads [68] rates,#covid19 [61] pre,existing [61] respiratory,conditions Top Word Pairs in Tweet in G8:
[1036] न,स [1036] न,द [1036] द,ख [1036] ख,एक [1036] रह,क [1036] क,छन [1019] घ,म [1019] म,रह [991] सम,म [534] त,र Top Word Pairs in Tweet in G9:
[345] air,pollution [51] covid,19 [42] pollution,makes [41] reduce,air [39] cycling,ideal [39] ideal,transport [39] transport,solution [39] solution,during [39] during,lockdown [39] lockdown,helps Top Word Pairs in Tweet in G10:
[180] air,pollution [174] nitrogen,dioxide [174] dioxide,levels [166] satellite,observations [166] observations,found [166] found,nitrogen [166] levels,over [166] over,wuhan [166] wuhan,china [166] china,dropped Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: