The graph represents a network of 1,103 Twitter users whose recent tweets contained "Thomas Harrer", 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 Wednesday, 29 April 2020 at 01:43 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 26-minute period from Tuesday, 21 April 2020 at 10:08 UTC to Wednesday, 29 April 2020 at 01:35 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 : 1103
Unique Edges : 6736
Edges With Duplicates : 15346
Total Edges : 22082
Number of Edge Types : 5
Mentions : 3018
MentionsInRetweet : 15199
Retweet : 3605
Replies to : 167
Tweet : 93
Self-Loops : 417
Reciprocated Vertex Pair Ratio : 0.0368291039748484
Reciprocated Edge Ratio : 0.0710418020359541
Connected Components : 6
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 1090
Maximum Edges in a Connected Component : 22055
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.22803
Graph Density : 0.00759683621471223
Modularity : 0.256113
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 1,103 Twitter users whose recent tweets contained "Thomas Harrer", 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 Wednesday, 29 April 2020 at 01:43 UTC.
The tweets in the network were tweeted over the 7-day, 15-hour, 26-minute period from Tuesday, 21 April 2020 at 10:08 UTC to Wednesday, 29 April 2020 at 01:35 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 : Thomas Harrer
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:
[2165] thomas_harrer,#ibm [1396] #smm,#defstar5 [1365] #ibm,#ibmer [1097] #ibmer,#cto [885] #defstar5,#mpgvip [655] #ibm,#cto [595] #defstar5,thomas_harrer [527] #defstar5,#smm [491] #mpgvip,thomas_harrer [463] #cto,#ibmsystems Top Word Pairs in Tweet in G1:
[359] thomas_harrer,#ibm [327] #smm,#defstar5 [269] #ibm,#ibmer [203] #ibmer,#cto [193] #machinelearning,#deeplearning [166] #artificialintelligence,#machinelearning [144] #defstar5,#smm [139] #fintech,#ai [135] #defstar5,thomas_harrer [128] kmcdtech,thomas_harrer Top Word Pairs in Tweet in G2:
[1734] thomas_harrer,#ibm [1060] #ibm,#ibmer [1040] #smm,#defstar5 [873] #ibmer,#cto [770] #defstar5,#mpgvip [525] #ibm,#cto [440] #mpgvip,thomas_harrer [423] #defstar5,thomas_harrer [387] #cto,#ibmsystems [367] #defstar5,#smm Top Word Pairs in Tweet in G3:
[149] cc,thomas_harrer [127] #ar,#augmentedreality [89] chr1sa,darpa [89] darpa,rom_duck [88] thomas_harrer,chr1sa [88] rom_duck,rethinkrobotics [86] #artificialintelligence,better [86] better,reading [86] wef,#ai [86] #ai,#robotics Top Word Pairs in Tweet in G4:
[144] topcybernews,thomas_harrer [83] thomas_harrer,nathealings [83] nathealings,harbrimah [83] harbrimah,themegatrends [79] pascal_bornet,frronconi [55] nortonrobotics,topcybernews [51] themegatrends,ashoknellikar [51] ashoknellikar,pascal_bornet [43] chboursin,mikequindazzi [43] adobexd,mvollmer1 Top Word Pairs in Tweet in G5:
[8] #ai,ethical [8] ethical,rtinsights [8] rtinsights,pawlowskimario [8] pawlowskimario,#aiethics [8] #aiethics,#machinelearning [8] #machinelearning,#automation [8] #automation,#rpa [8] #rpa,#digitaltransformation [8] #digitaltransformation,#dx [8] #dx,#cognitivetransformation Top Word Pairs in Tweet in G6:
[39] fogle_shane,dahl_consult [38] thomas_harrer,sdgs4good [35] stevewal63,shaanhaider [35] shaanhaider,fogle_shane [35] amandaray02,nolwennger [35] nolwennger,thomas_harrer [35] adamrogers2030,drsharwood [35] drsharwood,johnmaynardcpa [33] sallyeaves,lisaforteuk [32] sdgs4good,sallyeaves Top Word Pairs in Tweet in G7:
[6] neue,veröffentlichung [6] veröffentlichung,bhupesh [6] bhupesh,prusty [6] prusty,uni_wue [6] uni_wue,thomas [6] thomas,harrer [6] harrer,unifau [6] unifau,carmen [6] carmen,scheibenbogen [6] scheibenbogen,chariteberlin Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: