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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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Comment Topic Evolution on a Cancer Institution's Facebook Page.

Chunlei Tang¹, Li Zhou, Joseph Plasek

¹Chunlei Tang, PhD, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont Street BS-3, Boston, MA 02120, USA, Phone: (857) 600-0628,

Applied Clinical Informatics

|August 24, 2017

Summary

Social media comments on a cancer institution's page reveal evolving patient and family needs. Topic analysis helps institutions understand and support their online community better.

Keywords:

Consumer Participation Data Mining Hospital Oncology Service Patient Engagement Patient Satisfaction Social Media

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Area of Science:

Social media analytics
Computational linguistics
Cancer care communication

Background:

Social media platforms are increasingly used by cancer institutions.
Understanding online community discourse is crucial for patient support.

Purpose of the Study:

To identify and track the evolution of topics in social media comments.
To analyze the discourse on a cancer research institution's Facebook™ page.

Main Methods:

Latent Dirichlet Allocation (LDA) model used to extract ten topics from 4,335 comments.
Data collected from January 2009 to June 2014.
Pearson correlation coefficients calculated to assess topic intensity evolution.

Main Results:

Ten topics identified, including greetings, cancer institution comments, blessings, time, treatment, optimism, tumor, and family support.
Overall increasing trend in comment distributions observed.
Significant correlations found between topics like greetings, family, blessings, and the institution.

Conclusions:

Social media serves as a vital platform for emotional support for cancer patients and families.
Topic analysis can inform cancer institutions about community needs, guiding social media strategy.
Insights gained can enhance emotional, instrumental, and social support initiatives.