The graph represents a network of 138 Twitter users whose recent tweets contained "serbia 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 Monday, 18 January 2021 at 20:28 UTC.
The tweets in the network were tweeted over the 7-day, 6-hour, 22-minute period from Monday, 11 January 2021 at 07:12 UTC to Monday, 18 January 2021 at 13:34 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 : 138
Unique Edges : 135
Edges With Duplicates : 7
Total Edges : 142
Number of Edge Types : 4
Retweet : 105
Tweet : 24
Replies to : 4
Mentions : 9
Self-Loops : 25
Reciprocated Vertex Pair Ratio : 0.0173913043478261
Reciprocated Edge Ratio : 0.0341880341880342
Connected Components : 23
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 35
Maximum Edges in a Connected Component : 35
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.820057
Graph Density : 0.00618851158362425
Modularity : 0.751054
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 138 Twitter users whose recent tweets contained "serbia 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 Monday, 18 January 2021 at 20:28 UTC.
The tweets in the network were tweeted over the 7-day, 6-hour, 22-minute period from Monday, 11 January 2021 at 07:12 UTC to Monday, 18 January 2021 at 13:34 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 : serbia 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[128] air,pollution [45] air,quality [37] pollution,serbia [35] people,serbia [35] serbia,currently [35] currently,protesting [35] protesting,government [35] government,downplaying [35] downplaying,air [35] pollution,country Top Word Pairs in Tweet in G1:
[70] air,pollution [35] people,serbia [35] serbia,currently [35] currently,protesting [35] protesting,government [35] government,downplaying [35] downplaying,air [35] pollution,country [35] country,6050 [35] 6050,cases Top Word Pairs in Tweet in G2:
[32] thousands,marched [32] marched,streets [32] streets,belgrade [32] belgrade,against [32] against,air [32] air,pollution [32] pollution,serbia [32] serbia,demanding [32] demanding,transparency [32] transparency,government Top Word Pairs in Tweet in G3:
[19] laganje,zagadjenju [19] zagadjenju,stiglo [19] stiglo,evropskih [19] evropskih,medija [19] medija,key [19] key,official [19] official,claims [19] claims,fired [19] fired,serbia's [19] serbia's,environment Top Word Pairs in Tweet in G4:
[8] thousands,people [8] people,marched [8] marched,government [8] government,headquarters [8] headquarters,#belgrade [8] #belgrade,#serbia [8] #serbia,denouncing [8] denouncing,air [8] air,pollution [8] pollution,government Top Word Pairs in Tweet in G6:
[6] air,pollution [3] pollution,serbia [2] manipulating,data [2] data,bid [2] bid,play [2] play,down [2] down,air [2] pollution,problem Top Word Pairs in Tweet in G8:
[4] arrival,winter [4] winter,weather [4] weather,increased [4] increased,heating [4] heating,air [4] air,pollution [4] pollution,#easterneurope [4] #easterneurope,risen [4] risen,levels [4] levels,ranked Top Word Pairs in Tweet in G9:
[4] загрязнение,воздуха [4] воздуха,и [4] и,пандемия [4] пандемия,коронавируса [4] коронавируса,экологи [4] экологи,бьют [4] бьют,тревогу Top Word Pairs in Tweet in G10:
[3] evo,srbija [3] srbija,posta [3] posta,zemlja [3] zemlja,svetski [3] svetski,poznata [3] poznata,muljažom [3] muljažom,podacima [3] podacima,zagađenosti [3] zagađenosti,vazduha [3] vazduha,samo Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G5:
Top Mentioned in G7:
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: