The graph represents a network of 1,107 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 Wednesday, 14 September 2022 at 02:22 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 59-minute period from Sunday, 04 September 2022 at 19:56 UTC to Wednesday, 14 September 2022 at 01:56 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 : 1129
Unique Edges : 2706
Edges With Duplicates : 10917
Total Edges : 13623
Number of Edge Types : 5
Replies to : 227
Mentions : 4755
MentionsInRetweet : 6704
Retweet : 1834
Tweet : 103
Self-Loops : 938
Reciprocated Vertex Pair Ratio : 0.0885402818399362
Reciprocated Edge Ratio : 0.162677088422081
Connected Components : 13
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 1105
Maximum Edges in a Connected Component : 13599
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.970347
Graph Density : 0.00321473217370547
Modularity : 0.205277
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,107 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 Wednesday, 14 September 2022 at 02:22 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 59-minute period from Sunday, 04 September 2022 at 19:56 UTC to Wednesday, 14 September 2022 at 01:56 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:
[2054] #iot,#iiot [2042] #iiot,#bigdata [2042] #csuite,#digitalhealth [2042] #cx,#ehealth [2042] #ehealth,#finserv [2042] #insurtech,#linux [2042] #linux,#traveltech [2042] #traveltech,#frenchtech [2042] #frenchtech,#fashiontech [2042] #nodexl,#ai Top Word Pairs in Tweet in G1:
[101] top,hashtags [87] #iot,#iiot [86] #healthtech,#datascientist [86] #datascientist,#csuite [86] #csuite,#digitalhealth [86] #digitalhealth,#web3 [86] #web3,#cx [86] #cx,#ehealth [86] #ehealth,#finserv [86] #finserv,#cloud Top Word Pairs in Tweet in G2:
[1928] #iot,#iiot [1918] betamoroney,enilev [1917] #csuite,#digitalhealth [1917] #cx,#ehealth [1917] #ehealth,#finserv [1917] #insurtech,#linux [1917] #linux,#traveltech [1917] #traveltech,#frenchtech [1917] #frenchtech,#fashiontech [1917] #nodexl,#ai Top Word Pairs in Tweet in G3:
[27] top,hashtags [5] #ruska2022,nodexl [5] hashtags,#ruska2022 [5] #ruska2022,#pyöräily [4] #svpol,#val2022 [4] #minaetutkin,nodexl [4] nodexl,helsinkiuni [4] helsinkiuni,samisyrjamaki [4] samisyrjamaki,unieastfinland [4] unieastfinland,suomenakatemia Top Word Pairs in Tweet in G4:
[102] top,hashtags [40] unosmlre,nodexl [40] nodexl,michaelbathurst [33] #bigdata,#twitter [31] michaelbathurst,this0499154500 [29] michaelbathurst,shoutmgb [29] shoutmgb,jeremyhl [26] yamamah_x,q__yemen [24] q__yemen,this0499154500 [24] this0499154500,michaelbathurst Top Word Pairs in Tweet in G5:
[2] assocham4india,amchamindia Top Word Pairs in Tweet in G6:
[41] #covid19uk,tweets [11] top,tweets [9] nodexl,map [8] using,#covid19uk [8] tweets,retweets [8] word,clouds [7] tweets,posted [7] tweets,rts [7] wide,range [6] week,#covid19visualdiary Top Word Pairs in Tweet in G8:
[23] pomegra81938030,twittersupport [23] twittersupport,thatumbrella [23] thatumbrella,snowballing2020 [20] tobeycakes,pomegra81938030 [14] mensurvivetoo,tobeycakes [14] twitter,fountainhopper [11] snowballing2020,oceanarune [11] oceanarune,twitter [11] snowballing2020,twitter [11] picky_bee,mensurvivetoo Top Word Pairs in Tweet in G9:
[10] gijn's,data [10] data,journalism [10] journalism,top [10] top,10 [10] 10,week [10] russia's,war [10] based,nodexl [10] nodexl,analysis [10] analysis,curated [7] week,features Top Word Pairs in Tweet in G10:
[10] #datascience,#openscience [6] #mediaresearchinstitute,#twitterresearchproject [6] #gephi,#nodexl [6] #nodexl,#rstats [6] #rstats,#machinelearning [4] #twitterresearchproject,digital [4] digital,landscape [4] landscape,worldwide [4] worldwide,tweets [4] tweets,beginning 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 G6:
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 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: