The graph represents a network of 3 426 Twitter users whose recent tweets contained "#maps", 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, 28 September 2020 at 13:02 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Saturday, 19 September 2020 at 17:14 UTC to Monday, 28 September 2020 at 12:41 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 3426
Unique Edges : 3982
Edges With Duplicates : 2004
Total Edges : 5986
Number of Edge Types : 5
Retweet : 2883
Replies to : 65
MentionsInRetweet : 934
Tweet : 1623
Mentions : 481
Self-Loops : 1654
Reciprocated Vertex Pair Ratio : 0,0154220779220779
Reciprocated Edge Ratio : 0,0303756994404476
Connected Components : 632
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 1493
Maximum Edges in a Connected Component : 3186
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6,039182
Graph Density : 0,000319838418960206
Modularity : 0,640828
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3 426 Twitter users whose recent tweets contained "#maps", 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, 28 September 2020 at 13:02 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 27-minute period from Saturday, 19 September 2020 at 17:14 UTC to Monday, 28 September 2020 at 12:41 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : #maps
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:
[864] #map,#maps [440] the,united [438] united,states [417] #terriblemaps,#terriblemap [417] than,the [417] of,the [401] #terriblemap,#terriblemaps [376] #maps,#terriblemap [376] #terriblemaps,#usa [352] and,china Top Word Pairs in Tweet in G1:
[774] #map,#maps [417] than,the [414] #terriblemaps,#terriblemap [406] the,united [406] united,states [401] #terriblemap,#terriblemaps [376] #maps,#terriblemap [376] #terriblemaps,#usa [352] and,china [349] #maps,#terriblemaps Top Word Pairs in Tweet in G2:
[165] sep,2020 [164] weather,forecast [164] forecast,hd [164] 2020,updated [164] updated,at [164] hours,utc [164] utc,#weather [164] #weather,#videos [164] #videos,#maps [90] at,0000 Top Word Pairs in Tweet in G3:
[182] source,#maps [182] #maps,#geography [121] map,of [92] of,the [71] in,the [33] the,world [31] rule,of [27] europe,#maps [27] half,of [26] the,red Top Word Pairs in Tweet in G4:
[119] #google,#maps [50] google,maps [42] covid,19 [16] #maps,#googlemaps [16] these,#3d [16] #3d,#maps [16] #maps,show [16] show,the [16] the,world's [16] world's,#population Top Word Pairs in Tweet in G5:
[48] #rpg,#dnd [48] #dnd,#pathfinder [45] #maps,#dungeonsanddragons [45] #ttrpg,#rpg [44] #rpg,#ttrpg [43] of,the [42] #pathfinder,#maps [33] #dnd,#rpg [30] #ttrpg,#maps [24] #osr,#ttrpg Top Word Pairs in Tweet in G6:
[131] #maps,#rstats [78] #datascience,#bigdata [62] the,number [62] number,of [62] #bigdata,#maps [59] #dataviz,#datascience [55] #dataviz,#maps [53] shows,the [51] map,shows [51] #europe,#dataviz Top Word Pairs in Tweet in G7:
[82] #kimdongjun,#金桐俊 [82] #金桐俊,#桐俊 [82] #桐俊,#キムドンジュン [82] #キムドンジュン,#ドンジュン [82] #ドンジュン,#ค [82] #ค,มดงจ [82] มดงจ,น [82] น,#메이저나인 [82] #메이저나인,#major9 [76] 맛남,막냉이는 Top Word Pairs in Tweet in G8:
[102] for,babies [51] map,projections [51] projections,for [51] babies,a [51] a,board [51] board,book [51] book,for [51] babies,and [51] and,their [51] their,loved Top Word Pairs in Tweet in G9:
[61] #nuevo,google [61] google,#maps [61] #maps,muestra [61] muestra,si [61] si,existen [61] existen,casos [61] casos,de [61] de,#covid19 [61] #covid19,el [61] el,lugar Top Word Pairs in Tweet in G10:
[35] of,the [24] the,ocean [18] is,a [13] one,of [12] the,austronesian [12] austronesian,expansion [12] expansion,one [12] of,humanity [12] humanity,s [12] s,greatest Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G8:
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: