The graph represents a network of 1,281 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 November 2022 at 13:58 UTC.
The requested start date was Wednesday, 16 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 1-hour, 41-minute period from Monday, 17 October 2022 at 19:39 UTC to Thursday, 03 November 2022 at 21:21 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 : 1281
Unique Edges : 1464
Edges With Duplicates : 13915
Total Edges : 15379
Number of Edge Types : 5
Retweet : 5330
MentionsInRetweet : 6598
Tweet : 1164
Mentions : 2250
Replies to : 37
Self-Loops : 2330
Reciprocated Vertex Pair Ratio : 0.036607687614399
Reciprocated Edge Ratio : 0.0706297822248381
Connected Components : 101
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 1146
Maximum Edges in a Connected Component : 15234
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.217483
Graph Density : 0.00207235558157689
Modularity : 0.148189
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,281 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 November 2022 at 13:58 UTC.
The requested start date was Wednesday, 16 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 1-hour, 41-minute period from Monday, 17 October 2022 at 19:39 UTC to Thursday, 03 November 2022 at 21:21 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 : GraphServerTwitterSearch
Graph Term : #selfdrivingcars
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:
[2360] #datascientist,#csuite [2360] #csuite,#digitalhealth [2356] #healthtech,#datascientist [2355] #cx,#ehealth [2353] #web3,#cx [2353] #digitalhealth,#web3 [2329] #ehealth,#finserv [2303] #finserv,#cloud [1520] #iot,#5g [1249] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[2179] #csuite,#digitalhealth [2179] #datascientist,#csuite [2175] #healthtech,#datascientist [2174] #cx,#ehealth [2172] #digitalhealth,#web3 [2172] #web3,#cx [2148] #ehealth,#finserv [2125] #finserv,#cloud [1030] #ai,#iot [990] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[772] #machinelearning,#iot [770] #iot,#5g [744] #ai,#machinelearning [621] #5g,#deeplearning [481] #deeplearning,#autonomousvehicles [481] #autonomousvehicles,#metaverse [464] #metaverse,#cx [434] #cx,#selfdrivingcars [274] #selfdrivingcars,#smartcity [205] #datascience,#bigdata Top Word Pairs in Tweet in G3:
[121] #ai,#machinelearning [98] #machinelearning,#iot [91] #iot,#5g [74] #5g,#deeplearning [62] driving,shuttle [62] shuttle,car [57] #deeplearning,#autonomousvehicles [50] #autonomousvehicles,#metaverse [48] #cx,#selfdrivingcars [43] #metaverse,#cx Top Word Pairs in Tweet in G4:
[185] #ai,#machinelearning [164] #machinelearning,#iot [151] #iot,#5g [125] #5g,#deeplearning [98] #analytics,#bigdata [96] #analytics,#machinelearning [96] #iot,#iiot [91] #deeplearning,#autonomousvehicles [91] #autonomousvehicles,#metaverse [90] #machinelearning,#ml Top Word Pairs in Tweet in G5:
[134] #healthtech,#datascientist [134] #digitalhealth,#web3 [134] #ehealth,#finserv [134] #cx,#ehealth [134] #csuite,#digitalhealth [134] #datascientist,#csuite [134] #web3,#cx [133] #finserv,#cloud [133] chidambara09,#healthtech [125] #cloud,#insurtechâ Top Word Pairs in Tweet in G6:
[27] self,driving [15] driving,cars [7] autonomous,vehicles [5] #breackingnews,#computing [5] #analytics,#ai [5] #ibepac,#breackingnews [5] #digital,#innovation [5] #innovation,#datascience [5] #datascience,#bigdata [5] #bigdata,#analytics Top Word Pairs in Tweet in G7:
[15] launch,self [15] cnet,#ai [15] self,driving [15] #tech,miami [15] #artificialintelligence,#technology [15] austin,cnet [15] driving,#tech [15] argo,launch [15] #ai,#artificialintelligence [15] watch,argo Top Word Pairs in Tweet in G8:
[13] self,driving [11] driving,vehicles [11] automated,self [11] kagan,automated [11] today,next [11] vehicles,today [10] rcrwirelessnews,jeffka [10] next,rcrwirelessnews [10] jeffkagan,kagan [4] elonmusk,#selfdrivingcars Top Word Pairs in Tweet in G9:
[12] everyone,autonomy [12] autonomy,solved [12] soon,followed [12] close,deep [12] deep,learning [12] followed,everyone [12] never,close [12] solved,never [11] learning,red [11] filippie509,soon Top Word Pairs in Tweet in G10:
[49] #av,#selfdrivingcars [38] #selfdrivingcars,#autoindustry [38] forbes,#av [29] self,driving [18] driving,cars [12] #autoindustry,#automotiveindustry [8] cars,forbes [7] driving,car [6] automl,hot [6] cooler,reception 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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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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: