Instagram User Engagement Patterns Dataset

A Instagram (user engagement patterns) dataset of 1,000 posts with engagement metrics and multimedia, collected by Hanmante via Instagram API (2024). Each record contains post captions, hashtags, images, videos, likes, comments, user metadata, and tagged users. The dataset is notable for its dataset of Instagram political content from Uruguay, with rich multimodal data. Intended for research into social media engagement analysis, political communication, multimodal NLP, and user behavior modeling.

#Hashtag#Uruguay

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 4,073 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

4.1K
Nodes
4.1K
Edges
2.47e-04
Density
149
Components
-0.1479
Assortativity
0.3%
Reciprocity
3.7K
Bridges
Most central nodes
teazenofficial0.00344
0.8l_usa0.00295
bewants_global0.00221
cocodor.official0.00196
cocodorglobal0.00172
jikangin_life0.00172
namuyahome.official0.00147
be_wants_official0.00123
mako.pet0.00123
aliceduparcq0.00098
Content metrics

1,000 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

likesμ 496.289 ± 1.5K
min -1max 22.4K
num commentsμ 41.429 ± 160.792
min 0max 4.5K
video view countμ 7.8K ± 39.1K
min 6max 575.5K
video play countμ 8K ± 15.1K
min 17max 129.5K
followersμ 100.6K ± 452.9K
min 159max 3.5M
posts countμ 3.2K ± 3.4K
min 13max 30.7K
15.6
Flesch–Kincaid grade
US school grade level
22.3
Automated readability index
Frequent terms
theandyouforthisfragranceparfumperfumescentperfumecollectionfragrancesperfumesnicheperfumefragrancereviewsjoescentmewithfragranceofthedayperfumecollectornichefragranceperfumeloverssmellcolognethatshoppingmrcologne76frominfluenceraromaperfumeenthusiasteaudeparfumfinefragrancesmellgoodeaudetoilettefragrancecounterismellgoodsotdeauyourallarebutwhathaveherenewfragcommwasnotloveone
Topic clusters

Topic 0

perfume
fragrance
sotd
fragrancecounter
eaudetoilette
ismellgood
eaudeparfum
smellgood

Topic 1

perfumebottle
perfumereview
like
fraghead
perfumeaddict
fragcomm
fragrancelover
perfumista

Topic 2

eau
desertislandspritz
parfum
thank
list
toilette
spritz
desert

Topic 3

fragrance
perfume
influencer
aroma
fragrancecounter
eaudetoilette
ismellgood
sotd

Topic 4

turkey
istanbul
travel
joescentme
cat
food
foodie
vegan

Topic 5

perfumeaddict
fraghead
fragcomm
perfumista
perfumeblogger
fragranceaddict
fragrancelover
perfumebottle

Topic 6

oud
perfume
fragrance
smell
aroma
fragrancecounter
ismellgood
eaudetoilette

Topic 7

fragrancearmy
unbox
beautyadventcalendar
adventcalendar
ask
spon
lasvegas
lartetlamatiere

Topic 8

collagen
eye
sponsor
skin
patch
cream
skincare
serum

Topic 9

공팔리터
리뷰가수익이되는곳
n잡러
있어요
이너뷰티
간편하게
단백질
코코도르

Topic 10

elfrenteesamplio
null
militancia
frenteamplista
amplio
octubre
futuro
frente

Topic 11

촉촉함
좋아요
피부에
있어요
사용하기
수분보충
피부진정
있어서
Show all 14 topics

Topic 12

null
strike
away
china
communication
ramp
israel
nation

Topic 13

perfume
fragrance
live
ismellgood
fragrancecounter
eaudetoilette
sotd
eaudeparfum
Top hashtags
#perfumecollection698
#perfume664
#fragrance650
#nicheperfume622
#fragrancereviews604
#fragranceoftheday594
#joescentme594
#perfumecollector590
#nichefragrance584
#perfumelovers584
#parfum568
#perfumes532
#fragrances528
#scent526
#cologne518
#mrcologne76514
#shopping510
#influencer508
#perfumeenthusiast506
#aroma504
Top emoji
💙91
💜76
🎁63
🇹61
🏆56
💚55
🇷54
💫52
😍49
💛45
🚨41
🙏40
🤍39
🏼37
💕34
1K
Images
1K
Videos

Computed over the full corpus.

Record

Catalog key
instagram-posts
Authors
Hanmante, Sejal
Year
2024
Source paper
Analyzing User Engagement Patterns on Instagram
DOI / arXiv
10.6092/unibo/amsacta/8561
License
Academic use (see GitHub) (LicenseRef-Research-Only)
Records
4,073
Nodes
4,073
Edges
4,103 (directed)
Nodes are
user
Edges are
follow
Attributes
nodes have attributes; edges have attributes
Text corpus
post text
Languages
es
Collected
2024 (2020s)
Tasks
From the graph: link prediction, community detection
Region
Europe, Latin America (inferred: from the language of the data)

Provenance

Originally published at
https://github.com/SEJALHANMANTE/Analyzing-User-Engagement-Patterns-on-Instagram link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 5.5 MB across 1 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{hanmante2024instagram,
  title  = {Analyzing User Engagement Patterns on Instagram},
  author = {Hanmante, Sejal},
  year   = {2024},
  url    = {https://github.com/SEJALHANMANTE/Analyzing-User-Engagement-Patterns-on-Instagram}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Hanmante, S. (2024). Instagram User Engagement Patterns Dataset [Data set]. https://doi.org/10.6092/unibo/amsacta/8561

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Hanmante, Sejal. Instagram User Engagement Patterns Dataset. 2024, doi.org/10.6092/unibo/amsacta/8561.

BibTeX · RIS · CSL-JSON

Similar datasets 9 all with scores →