Inferring social influence and meme interaction with Hawkes processes

Chuan Luo; Xiaolong Zheng; Dajun Zeng

doi:10.1109/ISI.2015.7165953

Inferring social influence and meme interaction with Hawkes processes

Chuan Luo, Xiaolong Zheng, Dajun Zeng

Management Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publication	Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	135-137
Number of pages	3
ISBN (Electronic)	9781479998883
DOIs	https://doi.org/10.1109/ISI.2015.7165953
State	Published - Jul 23 2015
Event	13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Baltimore, United States Duration: May 27 2015 → May 29 2015

Other

Other	13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
Country/Territory	United States
City	Baltimore
Period	5/27/15 → 5/29/15

Keywords

Hawkes process
information diffusion
social influence
social media

ASJC Scopus subject areas

Artificial Intelligence
Law
Computer Networks and Communications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ISI.2015.7165953

Cite this

Luo, C., Zheng, X., & Zeng, D. (2015). Inferring social influence and meme interaction with Hawkes processes. In 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015 (pp. 135-137). [7165953] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2015.7165953

Inferring social influence and meme interaction with Hawkes processes. / Luo, Chuan; Zheng, Xiaolong; Zeng, Dajun.

2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 135-137 7165953.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Luo, C, Zheng, X & Zeng, D 2015, Inferring social influence and meme interaction with Hawkes processes. in 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015., 7165953, Institute of Electrical and Electronics Engineers Inc., pp. 135-137, 13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015, Baltimore, United States, 5/27/15. https://doi.org/10.1109/ISI.2015.7165953

Luo C, Zheng X, Zeng D. Inferring social influence and meme interaction with Hawkes processes. In 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 135-137. 7165953 https://doi.org/10.1109/ISI.2015.7165953

Luo, Chuan ; Zheng, Xiaolong ; Zeng, Dajun. / Inferring social influence and meme interaction with Hawkes processes. 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 135-137

@inproceedings{96ba84b957b649668328286cdde227f8,

title = "Inferring social influence and meme interaction with Hawkes processes",

abstract = "Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.",

keywords = "Hawkes process, information diffusion, social influence, social media",

author = "Chuan Luo and Xiaolong Zheng and Dajun Zeng",

year = "2015",

month = jul,

day = "23",

doi = "10.1109/ISI.2015.7165953",

language = "English (US)",

pages = "135--137",

booktitle = "2015 IEEE International Conference on Intelligence and Security Informatics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 ; Conference date: 27-05-2015 Through 29-05-2015",

}

TY - GEN

T1 - Inferring social influence and meme interaction with Hawkes processes

AU - Luo, Chuan

AU - Zheng, Xiaolong

AU - Zeng, Dajun

PY - 2015/7/23

Y1 - 2015/7/23

N2 - Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.

AB - Revealing underlying social influence among users in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing methods fail to take into account the interaction relationships among memes. In this paper, we propose to simultaneously model social influence and meme interaction in information diffusion with novel multidimensional Hawkes processes. Experimental results on both synthetic and real world social media data show the efficacy of the proposed approach.

KW - Hawkes process

KW - information diffusion

KW - social influence

KW - social media

UR - http://www.scopus.com/inward/record.url?scp=84963752225&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963752225&partnerID=8YFLogxK

U2 - 10.1109/ISI.2015.7165953

DO - 10.1109/ISI.2015.7165953

M3 - Conference contribution

AN - SCOPUS:84963752225

SP - 135

EP - 137

BT - 2015 IEEE International Conference on Intelligence and Security Informatics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015

Y2 - 27 May 2015 through 29 May 2015

ER -

Inferring social influence and meme interaction with Hawkes processes

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this