The graph represents a network of 5,800 Twitter users whose tweets in the requested range contained "edtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 31 January 2022 at 11:42 UTC.
The requested start date was Monday, 31 January 2022 at 01:01 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 3-day, 6-hour, 39-minute period from Thursday, 27 January 2022 at 18:19 UTC to Monday, 31 January 2022 at 00:58 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 : 5800
Unique Edges : 6657
Edges With Duplicates : 12761
Total Edges : 19418
Number of Edge Types : 5
Retweet : 4729
MentionsInRetweet : 8643
Mentions : 3901
Tweet : 1886
Replies to : 259
Self-Loops : 1976
Reciprocated Vertex Pair Ratio : 0.0426810318035844
Reciprocated Edge Ratio : 0.0818678589170393
Connected Components : 833
Single-Vertex Connected Components : 487
Maximum Vertices in a Connected Component : 4055
Maximum Edges in a Connected Component : 16692
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.073786
Graph Density : 0.000299248978718091
Modularity : 0.443015
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,800 Twitter users whose tweets in the requested range contained "edtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 31 January 2022 at 11:42 UTC.
The requested start date was Monday, 31 January 2022 at 01:01 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 3-day, 6-hour, 39-minute period from Thursday, 27 January 2022 at 18:19 UTC to Monday, 31 January 2022 at 00:58 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 : edtech
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:
[587] gave,kred [587] kred,#influence [477] eli_krumova,gave [403] #ai,#ml [369] #ml,#iot [351] #stem,#edtech [307] #womenintech,#womeninstem [287] #edtech,#ai [221] #womeninstem,#womenintech [204] #influence,#womenintech Top Word Pairs in Tweet in G1:
[79] eli_krumova,gave [79] gave,kred [79] kred,#influence [72] #byjus,#edtech [58] #edtech,#edchat [55] #edchat,#k12 [53] big,education [53] education,ape [53] #redfored,#tbats [51] #education,#edtech Top Word Pairs in Tweet in G2:
[49] ubs,wealthfront [48] edtech,startups [48] 2021,edtech [47] edtech,report [47] report,ubs [47] wealthfront,deal [47] deal,falling [47] falling,startup [47] startup,revenue [41] techcrunch,roundup Top Word Pairs in Tweet in G3:
[504] gave,kred [504] kred,#influence [394] eli_krumova,gave [350] #ai,#ml [324] #ml,#iot [286] #stem,#edtech [263] #womenintech,#womeninstem [243] #edtech,#ai [190] #womeninstem,#womenintech [175] #influence,#womenintech Top Word Pairs in Tweet in G4:
[38] #community,#education [38] #education,#sustainability [38] #sustainability,#nonprofits [28] #nonprofits,#nonprofit [26] #edchat,#edtech [26] #nonprofit,#csr [23] #edtech,#homeschool [22] #edtech,#edtechchat [22] #homeschool,#homeschooling [21] #byjus,#edtech Top Word Pairs in Tweet in G5:
[177] #vr,#ar [176] japan,using [176] #ar,#educacion [176] #educacion,#edtech [164] using,#futureofwork [164] #futureofwork,#children [164] #children,#vr [164] #edtech,teach [164] teach,dangers [164] dangers,flash Top Word Pairs in Tweet in G6:
[142] help,teachers [141] digital,books [140] official,canva [140] canva,education [140] education,bookcreatorapp [140] bookcreatorapp,partner [140] partner,help [140] teachers,students [140] students,make [140] make,awesome Top Word Pairs in Tweet in G7:
[31] ve,caught [31] caught,#wordle [31] #wordle,word [31] word,game [31] game,craze [31] craze,ll [31] ll,love [31] love,ideas [31] ideas,using [31] using,classroom Top Word Pairs in Tweet in G8:
[19] funding,report [19] edtech,startups [18] vc,funding [15] report,launched [15] personalized,learning [14] edtech,vc [14] startups,flock [14] flock,promise [14] promise,potential [14] potential,personalized Top Word Pairs in Tweet in G9:
[44] #edtech,edsurge [23] edtech,startups [16] #edtech,#edtechchat [16] student,data [13] pandemic,#edtech [12] day,life [12] life,school [12] school,principal [12] principal,two [12] two,years Top Word Pairs in Tweet in G10:
[16] #highered,#edtech [10] #edtech,#onlinelearning [10] #elearning,#mlearning [10] #onlinelearning,#education [9] biggest,concern [9] concern,use [9] use,digital [9] digital,technology [9] technology,education [9] education,#highered Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: