The graph represents a network of 3,995 Twitter users whose recent tweets contained "#4IR", 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 Tuesday, 14 January 2020 at 19:15 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 7-minute period from Monday, 06 January 2020 at 19:09 UTC to Tuesday, 14 January 2020 at 18:16 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 : 3995
Unique Edges : 21216
Edges With Duplicates : 14875
Total Edges : 36091
Number of Edge Types : 5
MentionsInRetweet : 31215
Retweet : 1627
Mentions : 2488
Replies to : 106
Tweet : 655
Self-Loops : 680
Reciprocated Vertex Pair Ratio : 0.0115026032207289
Reciprocated Edge Ratio : 0.0227435958822121
Connected Components : 238
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 3386
Maximum Edges in a Connected Component : 35314
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.303189
Graph Density : 0.00157069145645878
Modularity : 0.318108
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,995 Twitter users whose recent tweets contained "#4IR", 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 Tuesday, 14 January 2020 at 19:15 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 7-minute period from Monday, 06 January 2020 at 19:09 UTC to Tuesday, 14 January 2020 at 18:16 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 : #4IR
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:
[12962] gt,gt [1972] mikequindazzi,gt [1538] #ai,#iot [1278] #4ir,gt [1125] gt,#ai [902] mikequindazzi,#ai [900] wef,mikequindazzi [810] #iot,#bigdata [805] #emergingtech,#robotics [770] #makeyourownlane,#4ir Top Word Pairs in Tweet in G1:
[1572] gt,gt [361] wef,mikequindazzi [300] mikequindazzi,#ces2020 [291] #ai,#robotics [291] #ai,#4ir [287] #socialmedia,cc [283] #emergingtech,#robotics [270] mikequindazzi,gt [268] #ai,#iot [222] #innovation,#4ir Top Word Pairs in Tweet in G2:
[364] wef,mikequindazzi [354] #emergingtech,#robotics [318] mikequindazzi,#ces2020 [266] #ai,projected [266] projected,add [266] add,16 [266] 16,trillion [266] trillion,global [266] global,#economy [266] #economy,2030 Top Word Pairs in Tweet in G3:
[11055] gt,gt [1645] mikequindazzi,gt [1127] #ai,#iot [1107] #4ir,gt [901] gt,#ai [757] mikequindazzi,#ai [674] #iot,#bigdata [657] #defstar5,#iot [655] #makeyourownlane,#4ir [613] #ai,#defstar5 Top Word Pairs in Tweet in G4:
[63] #smartcontracts,#defi [51] #chainlink,initc3org [51] initc3org,february [51] february,18 [51] 18,2020 [51] 2020,fireside [51] fireside,chat [51] chat,arijuels [51] arijuels,sergeynazarov [51] sergeynazarov,recent Top Word Pairs in Tweet in G5:
[15] gt,gt [12] industrial,revolution [10] fourth,industrial [10] eu,create [10] create,10 [10] 10,million [10] million,smart [10] smart,lampposts [10] lampposts,#4ir [9] #4ir,#technology Top Word Pairs in Tweet in G6:
[89] #robotics,#robot [75] #robots,clean [75] clean,windows [75] windows,#ces2020 [75] #ces2020,#ces [75] #ces,digitaltrends [75] digitaltrends,paula_piccard [75] paula_piccard,haroldsinnott [75] haroldsinnott,jblefevre60 [75] jblefevre60,alvinfoo Top Word Pairs in Tweet in G7:
[35] china,become [35] become,pioneer [35] pioneer,digital [35] digital,economy [35] economy,sharing [35] sharing,economy [35] economy,5g [35] 5g,ai [35] ai,space [35] space,science Top Word Pairs in Tweet in G8:
[57] #coding,#robotics [39] #robotics,curriculum [30] minister,dbe_sa [30] dbe_sa,announced [30] announced,aizora [30] aizora,ai [30] ai,powered [30] powered,#virtualbeing [30] #virtualbeing,serves [30] serves,teachers Top Word Pairs in Tweet in G9:
[18] industrial,revolution [15] business,economic_indaba [15] economic_indaba,identified [15] identified,energy [15] energy,security [15] security,enabling [15] enabling,capable [15] capable,state [15] state,critical [15] critical,sectors Top Word Pairs in Tweet in G10:
[35] #ces,#ces2020 [19] #vr,#ar [18] emerging,technologies [18] technologies,augmented [18] augmented,reality [18] reality,virtual [18] virtual,reality [18] reality,becoming [18] becoming,more [18] more,integrated 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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: