The graph represents a network of 704 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, 09 July 2020 at 01:48 UTC.
The requested start date was Thursday, 09 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 1-hour, 11-minute period from Thursday, 25 June 2020 at 00:27 UTC to Wednesday, 08 July 2020 at 01:39 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 : 704
Unique Edges : 842
Edges With Duplicates : 1509
Total Edges : 2351
Number of Edge Types : 5
Retweet : 563
MentionsInRetweet : 1130
Mentions : 494
Replies to : 12
Tweet : 152
Self-Loops : 163
Reciprocated Vertex Pair Ratio : 0.0470984020185029
Reciprocated Edge Ratio : 0.0899598393574297
Connected Components : 88
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 476
Maximum Edges in a Connected Component : 1876
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.108829
Graph Density : 0.002515598732704
Modularity : 0.398025
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 704 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, 09 July 2020 at 01:48 UTC.
The requested start date was Thursday, 09 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 1-hour, 11-minute period from Thursday, 25 June 2020 at 00:27 UTC to Wednesday, 08 July 2020 at 01:39 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:
[158] #startup,#traveltech [153] #traveltech,#socialnetworks [95] antibooking,#startup [72] cheddar,enricomolinari [72] enricomolinari,#leadership [72] #leadership,#nature [72] #bigdata,#intelligentassistant [68] #socialnetworks,#bigdata [67] #fashiontech,#traveltech [64] summer,magic Top Word Pairs in Tweet in G1:
[68] cheddar,enricomolinari [68] enricomolinari,#leadership [68] #leadership,#nature [64] #fashiontech,#traveltech [62] summer,magic [62] #nature,#fashiontech [56] enricomolinari,summer [47] ty,cheddar [41] magic,ty [27] enricomolinari,#marketing Top Word Pairs in Tweet in G2:
[17] laurentqueige,welcomecitylab [17] welcomecitylab,windingtree [16] nouvelle,promotion [16] promotion,#startups [14] nodexl,smr_foundation [14] windingtree,traveltech [14] traveltech,airbnb [14] airbnb,ai_connects_us [12] enricomolinari,nodexl [12] smr_foundation,laurentqueige Top Word Pairs in Tweet in G3:
[37] carry,comes [37] comes,during [37] during,travelling [37] travelling,ty [37] ty,startupselfieco [37] startupselfieco,enricomolinari [37] enricomolinari,#wearables [37] #wearables,#ai [37] #ai,#sensors [37] #sensors,#iot Top Word Pairs in Tweet in G4:
[23] ty,artist_artlover [23] artist_artlover,enricomolinari [17] enricomolinari,iceberg [17] iceberg,wakeboarder [17] wakeboarder,gt [17] gt,greenland [17] greenland,lead [17] lead,#traveltech [17] #traveltech,frontier [17] frontier,ty Top Word Pairs in Tweet in G5:
[8] never,take [8] take,picture [8] picture,travel [8] travel,docs [8] docs,again [5] raises,million [4] again,travel [4] travel,tech [4] tech,gadgets [4] gadgets,never Top Word Pairs in Tweet in G6:
[15] travel,industry [8] 10,ways [8] ways,artificial [8] artificial,intelligence [8] intelligence,ai [8] ai,transforming [8] transforming,travel [8] industry,#traveltech [7] great,insights [7] #innovation,#traveltech Top Word Pairs in Tweet in G7:
[16] raises,million [10] french,#traveltech [8] eu_startups,french [8] irish,#traveltech [8] #traveltech,rove [8] rove,lands [8] lands,450k [8] 450k,seed [8] seed,funding [8] funding,zooshventures Top Word Pairs in Tweet in G8:
[17] partners,gda_capital [17] gda_capital,produced [17] produced,research [17] research,report [17] report,spotlighting [17] spotlighting,travel [17] travel,focused [17] focused,blockchain [17] blockchain,shareringglobal [16] mlgblockchain,partners Top Word Pairs in Tweet in G9:
[156] #startup,#traveltech [152] #traveltech,#socialnetworks [95] antibooking,#startup [71] #bigdata,#intelligentassistant [67] #socialnetworks,#bigdata [44] future,travel [43] travel,market [34] zatornb1,#startup [31] #socialnetworks,#vc [31] #vc,#angelinvesting Top Word Pairs in Tweet in G10:
[6] attendant,grande [6] grande,boucle [6] boucle,août [6] août,tour [6] tour,#france [6] #france,virtuel [6] virtuel,débute [6] débute,ce [6] ce,week [6] week,end Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G10:
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: