JOURNAL ARTICLE

Social influence analysis in large-scale networks

Abstract

In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the friends have strong influence on one's daily life. How to differentiate the social influences from different angles(topics)? How to quantify the strength of those social influences? How to estimate the model on real large networks?

Keywords:
Computer science Scale (ratio) Social network (sociolinguistics) Data science Social network analysis Social media World Wide Web Geography

Metrics

909
Cited By
29.28
FWCI (Field Weighted Citation Impact)
29
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Opinion Dynamics and Social Influence
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Social Media and Politics
Social Sciences →  Social Sciences →  Communication

Related Documents

JOURNAL ARTICLE

Analysis of influence maximization in large-scale social networks

Jie HuKun MengXiaohong ChenChuang LinJiwei Huang

Journal:   ACM SIGMETRICS Performance Evaluation Review Year: 2014 Vol: 41 (4)Pages: 78-81
JOURNAL ARTICLE

Distributed Influence Maximization for Large-Scale Online Social Networks

Jing TangYuqing ZhuXueyan TangKai Han

Journal:   2022 IEEE 38th International Conference on Data Engineering (ICDE) Year: 2022 Pages: 81-95
JOURNAL ARTICLE

Analysis of large-scale social and information networks

Jon Kleinberg

Journal:   Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences Year: 2013 Vol: 371 (1987)Pages: 20120378-20120378
© 2026 ScienceGate Book Chapters — All rights reserved.