The graph represents a network of 2,238 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, 23 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 8-day, 17-hour, 48-minute period from Monday, 14 September 2020 at 05:35 UTC to Tuesday, 22 September 2020 at 23:24 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 : 2238
Unique Edges : 2704
Edges With Duplicates : 14613
Total Edges : 17317
Number of Edge Types : 5
Retweet : 6594
MentionsInRetweet : 9054
Mentions : 985
Tweet : 644
Replies to : 40
Self-Loops : 834
Reciprocated Vertex Pair Ratio : 0.0191071428571429
Reciprocated Edge Ratio : 0.0374978097073769
Connected Components : 135
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 2018
Maximum Edges in a Connected Component : 16965
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.248152
Graph Density : 0.00113993950950043
Modularity : 0.225249
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,238 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, 23 September 2020 at 12:46 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 8-day, 17-hour, 48-minute period from Monday, 14 September 2020 at 05:35 UTC to Tuesday, 22 September 2020 at 23:24 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:
[2439] #ai,#iot [2283] #machinelearning,#bigdata [1912] #datascience,#ai [1767] #iot,#python [1675] #artificialintelligence,#machinelearning [1669] #python,#rstats [1661] #bigdata,#datascience [781] #bigdata,#analytics [650] #analytics,#datascience [633] #rstats,#java Top Word Pairs in Tweet in G1:
[410] #ai,#iot [256] #machinelearning,#bigdata [215] #datascience,#ai [200] #artificialintelligence,#machinelearning [199] #bigdata,#datascience [195] #iot,#python [189] read,add [187] self,driving [171] #python,#rstats [162] add,#selfdrivingcars Top Word Pairs in Tweet in G2:
[80] #marketing,#ai [79] #esport,#selfdrivingcars [79] #selfdrivingcars,#marketing [77] scooter,self [77] self,balancing [77] balancing,#hybrid [77] #hybrid,startupselfieco [77] startupselfieco,enricomolinari [77] enricomolinari,#esport [74] enricomolinari,scooter Top Word Pairs in Tweet in G3:
[309] #machinelearning,#bigdata [285] #ai,#iot [285] #datascience,#ai [243] #iot,#python [243] #python,#rstats [242] #machinelearning,#artificialintelligence [237] #artificialintelligence,#algorithms [236] #algorithms,#deeplearning [232] interesting,example [228] pinakilaskar,interesting Top Word Pairs in Tweet in G4:
[1660] #machinelearning,#bigdata [1521] #ai,#iot [1363] #datascience,#ai [1286] #iot,#python [1234] #artificialintelligence,#machinelearning [1221] #bigdata,#datascience [1208] #python,#rstats [551] #bigdata,#analytics [444] #analytics,#datascience [434] #javascript,#reactjs Top Word Pairs in Tweet in G5:
[54] #iot,#5g [30] #emergingtech,leverages [30] leverages,#ar [30] #ar,help [30] help,drivers [30] drivers,see [30] see,invisible [30] invisible,#iot [30] #5g,#selfdrivingcars [30] #selfdrivingcars,#autonomousdriving Top Word Pairs in Tweet in G6:
[106] self,driving [105] driving,vehicles [55] vehicles,classified [55] classified,six [55] six,levels [55] levels,automation [55] automation,regarding [55] regarding,intensity [55] intensity,control [54] antgrasso,self Top Word Pairs in Tweet in G7:
[64] read,more [43] self,driving [25] driving,cars [17] more,#autonomousvehicles [10] autonomous,vehicle [10] autonomous,car [9] autonomous,cars [9] autonomous,vehicles [8] driver,charged [8] backup,driver Top Word Pairs in Tweet in G8:
[119] #ai,#iot [117] #selfdrivingcars,#ai [107] #iot,#5g [68] #5g,#autonomousvehicles [56] #autonomousvehicles,#selfdriving [56] #startups,#smartcity [55] #driverlesscars,#startups [54] #robotics,#driverless [54] #startup,#robot [53] #autonomous,#robotics Top Word Pairs in Tweet in G9:
[11] trust,bias [11] bias,robots [11] robots,make [11] make,decisions [11] decisions,navigate [11] navigate,road [11] road,#selfdrivingcars [11] #selfdrivingcars,amass [11] amass,data [11] data,variety Top Word Pairs in Tweet in G10:
[12] recent,ride [12] ride,#automatedvehicle [12] #automatedvehicle,prototype [12] prototype,re [12] re,enforced [12] enforced,belief [12] belief,need [12] need,independent [12] independent,oversight [11] 中国は自動運転車用のインテリジェント,ハイウェイ第１号を2022年までに完成させるとのことです Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: