The graph represents a network of 322 Twitter users whose recent tweets contained "#TechU", 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 Thursday, 24 October 2019 at 18:22 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 3-minute period from Tuesday, 15 October 2019 at 16:18 UTC to Thursday, 24 October 2019 at 18:21 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 : 322
Unique Edges : 1016
Edges With Duplicates : 3646
Total Edges : 4662
Self-Loops : 118
Reciprocated Vertex Pair Ratio : 0.0421686746987952
Reciprocated Edge Ratio : 0.0809248554913295
Connected Components : 13
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 303
Maximum Edges in a Connected Component : 4641
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.127006
Graph Density : 0.0150635630115516
Modularity : 0.169726
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 322 Twitter users whose recent tweets contained "#TechU", 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 Thursday, 24 October 2019 at 18:22 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 3-minute period from Tuesday, 15 October 2019 at 16:18 UTC to Thursday, 24 October 2019 at 18:21 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 : #TechU
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[366] #ibm,#techu [320] 21,25 [317] #ibmtechu,#techu [279] #techu,#prague [244] #ibmtechu,#prague [225] distinguished,engineer [225] engineer,#cto [210] october,21 [196] #ibmsystems,#europe [184] thomas_harrer,distinguished Top Word Pairs in Tweet in G1:
[195] #ibmtechu,#techu [168] #techu,#prague [161] 21,25 [131] #ibmsystems,#europe [116] distinguished,engineer [116] engineer,#cto [110] october,21 [101] thomas_harrer,distinguished [99] #ibm,#ibmsystems [98] attend,#architectingthefuture Top Word Pairs in Tweet in G2:
[75] #ibm,#techu [57] #ibmtechu,#prague [47] #ibmtechu,#techu [42] nodexl,thomas_harrer [41] top,hashtags [41] distinguished,engineer [41] engineer,#cto [41] #techu,#ibmtechu [40] #techu,#prague [37] #architectingthefuture,#ibm Top Word Pairs in Tweet in G3:
[208] #ibm,#techu [137] #ibmtechu,#prague [124] 21,25 [105] c,thomas_harrer [89] ibmsystems,ibmpowersystems [87] #techu,#techuprague [87] october,21 [83] ibmstorage,c [83] topcybernews,live [82] #ibmtechu,#ibm Top Word Pairs in Tweet in G4:
[2] topcybernews,narendramodi [2] narendramodi,ibm [2] ibm,ginnirometty [2] ginnirometty,pmoindia [2] hilleryhunter,dtenaerts_be [2] dtenaerts_be,davidg_tech [2] davidg_tech,borretm [2] borretm,stavreva [2] stavreva,svensemet [2] svensemet,ingohesemans Top Word Pairs in Tweet in G5:
[10] #europe,#smm [10] #ibmtechu,#techu [10] #techu,#prague [9] meet,#ibmtechu [8] #ibmers,leverage [8] leverage,power [8] power,#socialmedia [8] #socialmedia,thomas_harrer [8] thomas_harrer,#ibmer [8] #ibmer,#cto Top Word Pairs in Tweet in G6:
[3] technical,university [3] university,#techu [3] sas,viya [3] viya,power [2] join,ibm [2] ibm,systems [2] systems,technical [2] #techu,21 [2] 21,25 [2] 25,october Top Word Pairs in Tweet in G7:
[3] join,ai [3] ai,vision [3] vision,h2o [3] h2o,hackathon [3] hackathon,thursday [3] thursday,during [3] during,prague [3] prague,#techu [3] #techu,human [3] human,vs Top Word Pairs in Tweet in G8:
[3] cette,semaine [3] semaine,rejoignez [3] rejoignez,nous [3] nous,au [3] au,2019 [3] 2019,#ibm [3] #ibm,systems [3] systems,technical [3] technical,university [3] university,à Top Word Pairs in Tweet in G9:
[4] #ai,#ibmstorage [4] #ibmstorage,#techuprague [4] #techuprague,#techu [4] #techu,#blueexperts 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 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 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: