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Table 4 Notations and Descriptions

From: Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics

Notations

Descriptions

\({\alpha }^{T}\)

Transpose of vector \(\alpha\)

autfb

Intercept for YouTube and Facebook

butfb

The coefficient for YouTube and Facebook

\(\in\)

Error in data

\({a}_{LiTw}\)

Intercept for LinkedIn and Twitter

\({b}_{LiTw}\)

The coefficient for LinkedIn and Twitter

yut

Likes/Followers/Visits/Downloads on YouTube

xfb

Likes/Followers/Visits/Downloads on Facebook

\({\mathrm{y}}_{\mathrm{Li}}\)

Likes/Followers/Visits/Downloads on LinkedIn

\({a}_{IgPi}\)

Intercept for Instagram and Pinterest

\({b}_{IgPi}\)

The coefficient for Instagram and Pinterest

\({y}_{Ig}\)

Likes/Followers/Visits/Downloads on Instagram

\({x}_{Pi}\)

Likes/Followers/Visits/Downloads on Pinterest