The graph represents a network of 837 Twitter users whose tweets in the requested range contained "ibmresearch", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 05:09 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 37-minute period from Tuesday, 31 August 2021 at 00:26 UTC to Monday, 13 September 2021 at 23:04 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 : 837
Unique Edges : 1173
Edges With Duplicates : 1502
Total Edges : 2675
Number of Edge Types : 5
Retweet : 474
MentionsInRetweet : 1098
Tweet : 42
Mentions : 947
Replies to : 114
Self-Loops : 48
Reciprocated Vertex Pair Ratio : 0.0206855791962175
Reciprocated Edge Ratio : 0.0405327156919514
Connected Components : 13
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 821
Maximum Edges in a Connected Component : 2657
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.100969
Graph Density : 0.00246808778217946
Modularity : 0.470634
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 837 Twitter users whose tweets in the requested range contained "ibmresearch", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 05:09 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 37-minute period from Tuesday, 31 August 2021 at 00:26 UTC to Monday, 13 September 2021 at 23:04 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 : ibmresearch
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:
[61] artificial,intelligence [57] jbarbosapr,ibm [57] ibm,unveils [57] unveils,chip [57] chip,accelerated [57] accelerated,artificial [57] intelligence,processor [57] processor,ele [57] ele,time [57] time,#artificialintelligence Top Word Pairs in Tweet in G1:
[37] ibmresearch,k_lovin_ [25] ø,ù [23] ø,ø [21] ù,ø [19] ù,ù [14] causal,inference [13] inference,360 [13] 360,toolkit [13] toolkit,offers [13] offers,access Top Word Pairs in Tweet in G2:
[18] ibmwatson,ibmresearch [13] channel,drive [13] drive,ibmcloud [12] ibm,ibmwatson [11] ibmcloud,ibmdeveloper [11] ibmdeveloper,ibm [7] ibmresearch,ibmdata [6] ibmresearch,releases [6] releases,explanations [6] explanations,commonsenseqa Top Word Pairs in Tweet in G3:
[33] utilities,company [33] company,europe [33] europe,work [33] work,ibm [33] ibm,quantum [32] eon_se_en,1st [32] 1st,utilities [32] quantum,thus [32] thus,preparing [32] preparing,technologically Top Word Pairs in Tweet in G4:
[26] causal,inference [26] inference,360 [21] open,source [20] extremely,pleased [20] pleased,announce [20] announce,causal [20] 360,open [20] source,python [20] python,toolkit [20] toolkit,whose Top Word Pairs in Tweet in G5:
[24] preskill,freekeheijman [23] quantum,computing [22] freekeheijman,ibmresearch [20] future,hold [20] hold,quantum [20] computing,experts [20] experts,explain [20] explain,preskill [15] wef,future [14] ibmresearch,iq Top Word Pairs in Tweet in G6:
[5] ibm,ibmresearch [3] apple,ibm [2] exciting,week [2] week,qubit [2] qubit,engineering [2] engineering,oliver_mit [2] oliver_mit,ustc [2] ustc,chaoyanglu [2] chaoyanglu,look [2] look,circuitqed Top Word Pairs in Tweet in G7:
[19] pschwllr,acvaucher [18] another,milestone [18] milestone,'prediction [18] 'prediction,chemical [18] chemical,reaction [18] reaction,yields [18] yields,using [18] using,#deeplearning' [18] #deeplearning',pschwllr [17] mlstjournal,another Top Word Pairs in Tweet in G8:
[15] descoberta,novos [15] novos,medicamentos [15] acelerados,pela [15] pela,#ai [14] brazil,sfe [14] #cord19,#ia [14] #ia,#ibm [14] #ibm,#ibmq [14] #ibmq,#ibmresearch [14] #omxware,#quantumcomputing Top Word Pairs in Tweet in G9:
[6] oct,#qidis [6] phd,research [6] cseminfo,zhinst [6] zhinst,ibmresearch [6] ibmresearch,idquantique [6] idquantique,nccr_qsit [6] nccr_qsit,swisseuresearch [6] swisseuresearch,een_switzerland [5] thrilled,clarissaconvert [5] clarissaconvert,received Top Word Pairs in Tweet in G10:
[4] fred_guttenberg,texas [4] texas,change [4] change,law [4] law,need [4] need,cost [4] cost,big [4] big,nwsl [4] nwsl,#boycotttx [4] #boycotttx,wnba [4] wnba,#boycotttx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: