Advanced Analysis Technologies for Social Media-Reference-Cited by-同舟云学术

Advanced Analysis Technologies for Social Media

Published:2023-02-01 Issue:3 Volume:13 Page:1909
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Guidi Barbara¹^ORCID,Iglesias Carlos A.²^ORCID,Rossetti Giulio³^ORCID,Koidl Kevin⁴

Affiliation:

1. Department of Computer Science, University of Pisa, 56124 Pisa, Italy

2. Intelligent Systems Group, Universidad Politécnica de Madrid, 28040 Madrid, Spain

3. Knowledge Discovery and Data Mining Laboratory, Information Science and Technologies Institute, Italian National Research Council, 56124 Pisa, Italy

4. ADAPT Research Centre, Trinity College Dublin, D02 PN40 Dublin, Ireland

Abstract

Interest in social media has only increased with time [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/3/1909/pdf

Reference5 articles.

1. Guidi, B. (2021). An overview of blockchain online social media from the technical point of view. Appl. Sci., 11.

2. Du, X., Ou, L., Zhao, Y., Zhang, Q., and Li, Z. (2021). Applications of Advanced Analysis Technologies in Precise Governance of Social Media Rumors. Appl. Sci., 11.

3. Morini, V., Pollacci, L., and Rossetti, G. (2021). Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study. Appl. Sci., 11.

4. Kaddoura, S., Itani, M., and Roast, C. (2021). Analyzing the effect of negation in sentiment polarity of facebook dialectal arabic text. Appl. Sci., 11.

5. Lee, M., and Oh, S. (2021). An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks. Appl. Sci., 11.