The graph represents a network of 748 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 01:55 UTC.
The requested start date was Thursday, 17 September 2020 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, 19-hour, 52-minute period from Thursday, 03 September 2020 at 00:39 UTC to Wednesday, 16 September 2020 at 20:31 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 : 748
Unique Edges : 1571
Edges With Duplicates : 2098
Total Edges : 3669
Number of Edge Types : 5
Tweet : 158
Retweet : 768
MentionsInRetweet : 2273
Mentions : 463
Replies to : 7
Self-Loops : 176
Reciprocated Vertex Pair Ratio : 0.023625843780135
Reciprocated Edge Ratio : 0.0461610927932171
Connected Components : 106
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 523
Maximum Edges in a Connected Component : 3314
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.590845
Graph Density : 0.00379951177258052
Modularity : 0.330398
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 748 Twitter users whose tweets in the requested range contained "traveltech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 September 2020 at 01:55 UTC.
The requested start date was Thursday, 17 September 2020 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, 19-hour, 52-minute period from Thursday, 03 September 2020 at 00:39 UTC to Wednesday, 16 September 2020 at 20:31 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 : traveltech
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:
[196] #ai,#iot [74] enricomolinari,#smartcities [66] intengineering,enricomolinari [61] mashable,cc [57] wef,enricomolinari [56] wef,cc [43] #smartcities,#ai [41] #5g,#fintech [39] #marsha,alpha [39] alpha,#3dprinted Top Word Pairs in Tweet in G1:
[58] #ai,#iot [26] #fashiontech,#traveltech [25] #iot,#bigdata [25] #ar,#vr [24] #traveltech,#ar [23] #bigdata,#ehealth [22] wef,enricomolinari [21] #marketing,#ai [18] enricomolinari,#smartcities [17] #blockchain,#marketing Top Word Pairs in Tweet in G2:
[69] #ai,#iot [42] intengineering,enricomolinari [36] enricomolinari,#smartcities [23] enricomolinari,#selfdrivingcars [21] #smartcities,#ai [21] #selfdrivingcars,'see' [21] 'see',going [21] going,around [21] around,mashable [21] mashable,pawlowskimario Top Word Pairs in Tweet in G3:
[60] #ai,#iot [51] mashable,cc [39] wef,cc [31] enricomolinari,google [31] google,inventing [31] inventing,thousands [31] thousands,sounds [31] sounds,mashable [31] cc,spirosmargaris [31] spirosmargaris,haroldsinnott Top Word Pairs in Tweet in G4:
[9] create,premium [9] premium,guest [9] guest,experience [9] experience,adhering [9] adhering,social [9] social,distancing [9] distancing,measures [9] measures,hospitality [9] hospitality,indust [8] 旅行,traveltech Top Word Pairs in Tweet in G5:
[23] enricomolinari,#marsha [23] #marsha,alpha [23] alpha,#3dprinted [23] #3dprinted,mars [23] mars,habitat [23] habitat,won [23] won,first [23] first,place [23] place,nasa [23] nasa,challenge Top Word Pairs in Tweet in G6:
[10] phocuswright,europe [9] eddytravels,#ai [9] #ai,#travel [9] innovator,year [7] ceo,hiltym [7] find,best [7] best,#hotel [7] #hotel,deals [7] deals,eddytravels [7] #travel,assistant Top Word Pairs in Tweet in G7:
[2] goal,promoting [2] promoting,abu [2] abu,dhabi [2] dhabi,top [2] top,destination [2] destination,tripadvisor [2] tripadvisor,audience [2] audience,#inspire [2] investment,alibabagroup [2] alibabagroup,merger Top Word Pairs in Tweet in G8:
[2] constituent,away [2] away,uber [2] uber,promises [2] promises,100 [2] 100,electric [2] electric,vehicles [2] vehicles,2040 [2] 2040,commits [2] commits,800 [2] 800,million Top Word Pairs in Tweet in G9:
[10] nodexl,smr_foundation [7] enricomolinari,great [7] great,#traveltech [7] #traveltech,influencer [7] influencer,ty [7] ty,1st [7] 1st,place [7] place,ty [7] ty,nodexl [7] smr_foundation,cc Top Word Pairs in Tweet in G10:
[4] year,founder [4] founder,ceo [4] ceo,juliegrieve [4] juliegrieve,step [4] step,virtual [4] virtual,stage [4] stage,skift [4] skift,global [4] global,forum [4] forum,discuss Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
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: