The graph represents a network of 875 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, 17 April 2019 at 15:05 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 8-minute period from Monday, 08 April 2019 at 03:54 UTC to Wednesday, 17 April 2019 at 15:02 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 : 875
Unique Edges : 2285
Edges With Duplicates : 1932
Total Edges : 4217
Self-Loops : 61
Reciprocated Vertex Pair Ratio : 0.0353383458646617
Reciprocated Edge Ratio : 0.0682643427741467
Connected Components : 11
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 854
Maximum Edges in a Connected Component : 4171
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.869037
Graph Density : 0.00360117685518143
Modularity : 0.379797
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[107] #fintech,#insurtech [70] #ai,#artificialintelligence [55] #artificialintelligence,#machinelearning [49] #berlin,#germany [49] artificial,intelligence [48] infrastructure,summit [47] #ai,#iot [45] topcybernews,thomas_harrer [45] mikequindazzi,haroldsinnott [43] 2019,#berlin Top Word Pairs in Tweet in G1:
[42] #berlin,#germany [41] infrastructure,summit [38] topcybernews,thomas_harrer [37] 2019,#berlin [34] summit,2019 [32] #ibm,infrastructure [30] #ibm,#nvidia [30] #nvidia,create [30] create,world [30] world,first Top Word Pairs in Tweet in G2:
[85] #fintech,#insurtech [48] #ai,#artificialintelligence [38] #artificialintelligence,#machinelearning [33] artificial,intelligence [31] spirosmargaris,artificial [31] #insurtech,#iot [31] #iot,#ai [29] intelligence,now [29] now,generate [29] generate,amazing Top Word Pairs in Tweet in G3:
[25] spirosmargaris,element_ai [25] element_ai,geoffreyhinton [25] geoffreyhinton,ylecun [25] ylecun,andrewyng [25] andrewyng,goodfellow_ian [25] goodfellow_ian,fabiomoioli [25] fabiomoioli,drfeifei [25] drfeifei,nnaisense [25] ipfconline1,pierrepinna [22] nnaisense,mfordfuture Top Word Pairs in Tweet in G4:
[6] topcybernews,thomas_harrer [6] heinzvhoenen,nbcnews [6] nbcnews,tantriclens [6] tantriclens,thomas_harrer [6] thomas_harrer,katharina_lamsa [6] katharina_lamsa,digital_trans4m [6] digital_trans4m,stephanenappo [4] kashthefuturist,isabellajonescl [4] digitalcloudgal,missdkingsbury [4] missdkingsbury,hilartech2018 Top Word Pairs in Tweet in G5:
[32] mikequindazzi,haroldsinnott [31] topcybernews,10 [31] 10,types [31] types,#emergingtech [31] #emergingtech,advancing [31] advancing,#enterprise [31] #enterprise,mikequindazzi [31] haroldsinnott,#ai [31] #ai,#iot [31] #iot,#bigdata Top Word Pairs in Tweet in G6:
[3] georam72,smarkus [3] smarkus,soundbuy [3] soundbuy,davgreer [3] davgreer,oxinst [3] oxinst,dianaepatterson [3] dianaepatterson,andortechnology [3] andortechnology,brilliantleader [3] brilliantleader,mattbird55 [3] mattbird55,neurochasm [2] conkers3,georam72 Top Word Pairs in Tweet in G7:
[7] pleased,endorse [7] endorse,global [7] global,#principles [7] #principles,#requirements [7] #requirements,#ai [7] #ai,#ethical [7] #ethical,#responsible [6] amartin171,pleased [4] topcybernews,#ibm [4] #ibm,infrastructure Top Word Pairs in Tweet in G8:
[7] game,design [6] thrilled,bit [6] bit,nervous [6] nervous,try [6] try,unpack [6] unpack,wtf [6] wtf,colonial [6] colonial,botany [6] botany,common [6] common,game Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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 G10: