NetMiner

NetMiner - Premier software for Social Network Analysis, Graph Mining, Network Science, Social Analytics, Network Visualization, Semantic Network(NLP) #sna

[NetMiner @netminer]

Profile photo facial expression predicted spam tweet spread better than the tweet content itself.

β coefficients show population averages. SHAP shows what the average hides.

👉 Read more: https://t.co/Jp4fp8U5gX

[NetMiner @netminer]

Can a straight line explain everything in your data?
Regression struggles to explain why a specific group or individual case looks different from the rest.

Now with Explainable AI, you can see each variable's contribution in detail.

👉 See the update: https://t.co/a67Mjap0qo

[NetMiner @netminer]

95% of enterprise AI pilots fail.
MIT NANDA's verdict: not bad data — missing structured context.

SNA-integrated GraphRAG lifts answer accuracy by up to 35%.

👉 https://t.co/knsPQ2iNEt

[NetMiner @netminer]

Informal teacher conversations, the kind that happen without any institutional design, mattered more for professional growth than formally assigned mentoring.

The undesigned network was stronger. Six SNA studies in education.
👉 https://t.co/j68uBuTBBA

#SNA #EducationResearch

[NetMiner @netminer]

Update! No more external preprocessing for Chinese text.

NetMiner now has a built-in Simplified Chinese morphological analyzer.
Word extraction, POS filtering, and co-occurrence networks.

All in one platform. 👉 https://t.co/cLRQzte0Cb

#TextMining #SNA

[NetMiner @netminer]

Map a prefabricated building supply chain as a risk network and the critical nodes become visible.

Zhu & Li (2025) analyzed 49 risk nodes and 451 links.
"Lack of information management specification" ranked highest in out-status centrality.

👉 https://t.co/DOvjCPgYyr

[NetMiner @netminer]

Mapping a digital classroom as a network reveals who drives knowledge flow.

Exarchou et al. (2017) used Social Network Analysis with NetMiner
to analyze student interactions in a collaborative learning project.

👉 https://t.co/sdnYXbEHjx

[NetMiner @netminer]

Mapping national R&D funding as a network reveals where investment may be misaligned.

Yang & Cho (2023) analyzed R&D projects in South Korea using co-occurrence network analysis.
Found fields that are structurally critical but underfunded.

👉 https://t.co/xvQvV8jPse

[NetMiner @netminer]

Tangled network? Now you can extract only the connections that matter.
Core network filtering · subgroup metrics · node cleanup · Kamada-Kawai layout — all in one update.

👉 https://t.co/IaTZYTNIYg

#NetworkAnalysis #SNA #DataScience

[NetMiner @netminer]

2,085 nursing papers. Mapped as a network.

Park & Han (2023): the most connected keyword across 30 years wasn't 'medication errors' — it was 'patient.'

👉 https://t.co/LVRLNmA481

#TextNetworkAnalysis #NursingEducation #MedicationSafety #DataAnalysis

[NetMiner @netminer]

A paper ignored for decades suddenly becomes one of the most-cited works in its field.
How bibliometric network analysis can be used to trace hidden patterns in knowledge diffusion.

👉 https://t.co/VO7QsHcBRF

#SocialNetworkAnalysis #Bibliometrics #KnowledgeDiffusion

[NetMiner @netminer]

✈️ UPDATE: YouTube by keyword and channel

NetMiner 5 now collects YouTube data two ways — by keyword or by channel.

Search a topic, or go straight to a specific channel.
Videos, comments, and relational data included.

https://t.co/Ue94mKb2gk

[NetMiner @netminer]

🚀 Update: User Dictionary Recommendation

From “U.S. = United States”
to “K-pop Demon Hunters” as one noun

User Dictionary Recommendations
helps you sort synonyms, compound nouns, and stopwords faster.

Build faster. Analyze smarter.

👉 https://t.co/n6AMtJ5QR6

[NetMiner @netminer]

Accident cause rankings change completely when you use network centrality instead of frequency counts.

A freight inspector noticed a leak, said nothing,
and turned out to be the single most connected node in the entire accident network.

👉 Read more: https://t.co/7SHPqLLEMZ

[NetMiner @netminer]

Can LLMs perform Social Network Analysis? 🤔

Research shows LLMs struggle with graph logic
but excel at extracting networks from text.

Discover the current boundaries and utilities of AI in SNA! 👇
https://t.co/Zw8iwd6sdZ

[NetMiner @netminer]

Topic analysis shows “what is being discussed.”
But even within the same topic, attitudes can be completely different.

With sentiment analysis, you can see how positive and negative opinion is distributed by topic.

👉 No-code text analysis tutorial
https://t.co/KI3675T2zn

[NetMiner @netminer]

No code. No setup errors. Just analysis. 🎯
NetMiner is now 20% OFF — network analysis & text mining, all in a few clicks.
Limited offer until April 30.

https://t.co/00bm7wgn09

#NetworkScience #NetworkAnalysis #TextMining #DigitalHumanities

[NetMiner @netminer]

When a nurse handles too many colleagues' questions, drug errors go up.
When social networks get too wide, depression risk rises.

SNA maps the structures behind these patterns.
👉 https://t.co/goWa5BhZdL

#SocialNetworkAnalysis #Healthcare #Nursing

[NetMiner @netminer]

Topics are not in individual words, but in how words appear together.

Check out how to uncover detailed topic structures using keyword co occurrence networks and community analysis.

👉 Read more: https://t.co/LR1D8whBSR

#TextMining #NetworkAnalysis #CommunityDetection

[NetMiner @netminer]

What if emotions matter more than information itself?
Social network analysis shows how things spread.
Sentiment analysis shows why they catch fire.

Together, they reveal how clusters form, crises escalate, and influence moves through networks.

👉 https://t.co/CQk0qdbW66