The graph represents a network of 5,235 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 Monday, 27 January 2020 at 04:21 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 29-minute period from Sunday, 19 January 2020 at 02:08 UTC to Monday, 27 January 2020 at 01:38 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 : 5235
Unique Edges : 27509
Edges With Duplicates : 21436
Total Edges : 48945
Number of Edge Types : 5
Retweet : 2653
MentionsInRetweet : 41913
Tweet : 767
Mentions : 3486
Replies to : 126
Self-Loops : 790
Reciprocated Vertex Pair Ratio : 0.00988593155893536
Reciprocated Edge Ratio : 0.019578313253012
Connected Components : 263
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 4573
Maximum Edges in a Connected Component : 48143
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.644108
Graph Density : 0.0012116792743355
Modularity : 0.343076
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,235 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 Monday, 27 January 2020 at 04:21 UTC.
The tweets in the network were tweeted over the 7-day, 23-hour, 29-minute period from Sunday, 19 January 2020 at 02:08 UTC to Monday, 27 January 2020 at 01:38 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:
[22415] gt,gt [3807] mikequindazzi,gt [1640] #4ir,gt [1369] gt,#ai [1232] #ai,#iot [1219] #defstar5,#4ir [1074] #ai,#robotics [1069] #pwc,mikequindazzi [1020] gt,#pwc [992] #iot,#mpgvip Top Word Pairs in Tweet in G1:
[5016] gt,gt [852] mikequindazzi,gt [405] #4ir,gt [399] gt,#ai [380] #ai,#robotics [346] #ai,#iot [292] #pwc,mikequindazzi [275] gt,#pwc [264] #ai,#machinelearning [259] #defstar5,#4ir Top Word Pairs in Tweet in G2:
[667] gt,gt [518] #4ir,mikequindazzi [506] #tech,#4ir [497] mikequindazzi,spirosmargaris [350] spirosmargaris,jblefevre60 [342] #ai,#machinelearning [342] #ai,#robotics [322] #robotics,#automation [318] jblefevre60,ramonvidall [311] sallyeaves,kuriharan Top Word Pairs in Tweet in G3:
[16619] gt,gt [2824] mikequindazzi,gt [1162] #4ir,gt [939] #defstar5,#4ir [891] gt,#ai [777] #ai,#iot [756] #iot,#mpgvip [735] virtual,models [735] models,aka [735] aka,#digitaltwins Top Word Pairs in Tweet in G4:
[281] industry,leaders [236] young,generation [236] generation,talent [236] talent,drive [236] drive,future [236] future,industry [236] industry,#aramco [236] #aramco,engineer [236] engineer,rowa [236] rowa,tawfiq Top Word Pairs in Tweet in G5:
[80] live,#wef20 [60] 2020,#readinessreport [59] deloitte,followcii [56] #wef20,#readinessreport [55] findings,2020 [54] industry,india [54] india,narrative [52] embracing,industry [50] key,findings [50] #readinessreport,#4ir Top Word Pairs in Tweet in G6:
[164] link,#4ir [72] #4ir,link [64] global,market [63] #chainlink,#4ir [63] heard,grapevine [63] grapevine,f500's [63] f500's,projecting [63] projecting,global [63] market,opportunity [63] opportunity,dlt Top Word Pairs in Tweet in G7:
[13] industrial,revolution [8] fourth,industrial [8] fun,exciting [8] exciting,3d [8] 3d,printing [8] printing,pen [8] pen,movie [8] movie,collection [8] collection,youtube [8] youtube,#3dprint Top Word Pairs in Tweet in G8:
[13] #gnd,#globalgreennewdeal [13] #globalgreennewdeal,#4ir [12] gt,gt [11] #germany,#bolivia [11] #bolivia,government [11] government,revise [11] revise,scrapped [11] scrapped,#lithium [11] #lithium,deal [11] deal,#fridaysforfinance Top Word Pairs in Tweet in G9:
[22] pennylebyane,djsbu [20] south,africa [13] fmtali,committed [13] committed,#equip [13] #equip,#educate [13] #educate,#empower [13] #empower,women [13] women,#4ir [13] #4ir,#leadership [13] #leadership,far Top Word Pairs in Tweet in G10:
[24] artificial,intelligence [18] #wef2020,#wef20 [18] #drone,#uav [14] #4ir,#ai [14] 'drone,ambulance' [14] ambulance',greatly [14] greatly,improve [14] improve,emergency [14] emergency,response [14] response,times Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: