The graph represents a network of 200 Twitter users whose recent tweets contained "#nodexl", 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 Friday, 25 October 2019 at 11:57 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 21-minute period from Wednesday, 16 October 2019 at 10:33 UTC to Friday, 25 October 2019 at 10:55 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 : 229
Unique Edges : 596
Edges With Duplicates : 762
Total Edges : 1358
Number of Edge Types : 4
Mentions : 1137
Replies to : 46
Retweet : 135
Tweet : 40
Self-Loops : 46
Reciprocated Vertex Pair Ratio : 0,0548862115127175
Reciprocated Edge Ratio : 0,104060913705584
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 219
Maximum Edges in a Connected Component : 1342
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2,509095
Graph Density : 0,0150923159426952
Modularity : 0,312068
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 200 Twitter users whose recent tweets contained "#nodexl", 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 Friday, 25 October 2019 at 11:57 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 21-minute period from Wednesday, 16 October 2019 at 10:33 UTC to Friday, 25 October 2019 at 10:55 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 : #nodexl
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:
[55] top,hashtags [53] uk,nov [50] nodexl,nodexl [42] #nodexl,event [42] event,uk [42] nov,nodexl [42] nodexl,event [42] event,taking [42] taking,place [42] place,sheffhallamuni Top Word Pairs in Tweet in G1:
[15] uk,nov [14] tus,estrategias [14] #marketing,#seohashtag [12] #nodexl,event [12] event,uk [12] nov,nodexl [12] nodexl,event [12] event,taking [12] taking,place [12] place,sheffhallamuni Top Word Pairs in Tweet in G2:
[29] uk,nov [21] #nodexl,event [21] event,uk [21] nov,nodexl [21] nodexl,event [21] event,taking [21] taking,place [21] place,sheffhallamuni [21] sheffhallamuni,november [21] november,5th Top Word Pairs in Tweet in G3:
[16] tus,estrategias [14] nodexl,nodexl [13] cybersec_feeds,sectest9 [13] sectest9,strike_ready [13] strike_ready,stephanenappo [13] stephanenappo,wynandbooysen [13] wynandbooysen,fisher85m [13] fisher85m,corix_jc [13] corix_jc,mikequindazzi [13] mikequindazzi,topcybernews Top Word Pairs in Tweet in G4:
[21] nodexl,nodexl [16] top,hashtags [9] nodexl,vivianfrancos [6] evankirstel,top [6] hashtags,#ai [6] #ai,#bigdata [6] vivianfrancos,mihkal [6] hashtags,#iot [6] #iot,#ai [5] mihkal,bonniebaehr Top Word Pairs in Tweet in G5:
[10] top,hashtags [6] #futureofwork,#nodexl [6] #nodexl,marc_smith [6] marc_smith,ianknowlson [6] ianknowlson,jonas1hr [6] jonas1hr,mikequindazzi [6] mikequindazzi,helene_wpli [6] helene_wpli,wef [6] wef,guzmand [6] guzmand,haroldsinnott Top Word Pairs in Tweet in G6:
[3] ravenintell,ihrim [3] ihrim,hrtechconf [3] hrtechconf,#hrtechconf [3] #hrtechconf,day1 [3] day1,#nodexl [3] #nodexl,#hr [3] #hr,#futureofwork [3] #futureofwork,#hrtech [3] #hrtech,#oow19 [3] #oow19,#oow Top Word Pairs in Tweet in G7:
[2] #kittens,#cat 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9: