The graph represents a network of 431 Twitter users whose recent tweets contained "#ArchitectingTheFuture", 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, 29 November 2019 at 16:37 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 34-minute period from Wednesday, 20 November 2019 at 10:55 UTC to Friday, 29 November 2019 at 16:30 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 : 431
Unique Edges : 1992
Edges With Duplicates : 2062
Total Edges : 4054
Self-Loops : 105
Reciprocated Vertex Pair Ratio : 0.0145337101332257
Reciprocated Edge Ratio : 0.0286510147234381
Connected Components : 31
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 377
Maximum Edges in a Connected Component : 3997
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.104255
Graph Density : 0.0135595963956186
Modularity : 0.269995
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 431 Twitter users whose recent tweets contained "#ArchitectingTheFuture", 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, 29 November 2019 at 16:37 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 34-minute period from Wednesday, 20 November 2019 at 10:55 UTC to Friday, 29 November 2019 at 16:30 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 : #ArchitectingTheFuture
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:
[136] #security,#cybersecurity [127] ty,mvollmer1 [102] #architectingthefuture,#electriccar [102] #electriccar,reach [102] reach,60 [102] 60,mph [102] mph,1 [102] 1,69 [102] 69,seconds [102] seconds,making Top Word Pairs in Tweet in G1:
[105] #security,#cybersecurity [71] technative,domhalps [66] #architectingthefuture,#ibm [53] t,h [50] #techtrends,#megatrends [47] #cto,#ibmsystems [47] #megatrends,#techtrends [46] distinguished,engineer [42] #architectingthefuture,#megatrends [37] engineer,#cto Top Word Pairs in Tweet in G2:
[93] ty,mvollmer1 [74] #architectingthefuture,#electriccar [74] #electriccar,reach [74] reach,60 [74] 60,mph [74] mph,1 [74] 1,69 [74] 69,seconds [74] seconds,making [74] making,fastest Top Word Pairs in Tweet in G3:
[27] #architectingthefuture,#ibm [22] spirosmargaris,haroldsinnott [20] ty,ronald_vanloon [19] #cto,#ibmsystems [19] #security,#cybersecurity [19] #ai,#ff [18] sallyeaves,spirosmargaris [18] step,inside [18] inside,china's [18] china's,12bn Top Word Pairs in Tweet in G4:
[28] #robot,#healthtech [28] #healthtech,#ai [28] #ai,#architectingthefuture [28] #architectingthefuture,autonomous [28] autonomous,ambulance [28] ambulance,#drone [28] #drone,save [28] save,people [28] people,terrain [28] terrain,seeker Top Word Pairs in Tweet in G5:
[12] #architectingthefuture,robots [12] robots,help [12] help,aging [12] aging,people [12] people,wef [12] wef,#tech [12] #tech,#data [12] #data,#japan [12] #japan,#ai [12] #ai,#ff Top Word Pairs in Tweet in G6:
[6] #architecture,#architect [6] #designer,#design [5] #architect,#cotswoldarchitect [5] #cotswoldarchitect,#cotswolds [5] #cotswolds,#drawing [5] #drawing,#ideas [5] #ideas,#designer [5] #design,#building [5] #building,#architectural [5] #architectural,#interiordesign Top Word Pairs in Tweet in G7:
[2] seeing,pursuing [2] pursuing,dreams [2] dreams,mean [2] mean,whole [2] whole,world [2] world,ily [2] ily,#architectingthefuture Top Word Pairs in Tweet in G8:
[3] building,better [3] better,tomorrow [3] tomorrow,architecture [3] architecture,school [3] school,launch [3] launch,first [3] first,offsite [3] offsite,construction [3] construction,course [3] course,oxford_brookes Top Word Pairs in Tweet in G9:
[3] #abujahomes,#abuja [3] #abuja,#realestateinvesting [3] #realestateinvesting,#abujahomesforsale [3] #abujahomesforsale,#realestateagents [3] #realestateagents,#realestate [3] #realestate,#realtorlife [3] #realtorlife,#realtor [3] #realtor,#realtors [3] #realtors,#luxurylifestyle [3] #luxurylifestyle,#luxurylifestyle Top Word Pairs in Tweet in G10:
[2] high,school [2] school,seniors [2] seniors,interested [2] interested,architecture [2] architecture,architecture [2] architecture,students [2] students,applications [2] applications,now [2] now,open [2] open,5 Top Replied-To in Entire Graph:
Top Replied-To in G6:
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: