Information spreading in context

Dashun Wang, Zhen Wen, Hanghang Tong, Ching Yung Lin, Chaoming Song, Albert László Barabási

Research output: Chapter in Book/Report/Conference proceedingConference contribution

83 Citations (Scopus)

Abstract

Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Conference on World Wide Web, WWW 2011
Pages735-744
Number of pages10
DOIs
StatePublished - 2011
Externally publishedYes
Event20th International Conference on World Wide Web, WWW 2011 - Hyderabad, India
Duration: Mar 28 2011Apr 1 2011

Other

Other20th International Conference on World Wide Web, WWW 2011
CountryIndia
CityHyderabad
Period3/28/114/1/11

Fingerprint

Stochastic models
Communication
Sensors

Keywords

  • Context
  • Information spread
  • Network science
  • Social networks
  • Structure

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Wang, D., Wen, Z., Tong, H., Lin, C. Y., Song, C., & Barabási, A. L. (2011). Information spreading in context. In Proceedings of the 20th International Conference on World Wide Web, WWW 2011 (pp. 735-744) https://doi.org/10.1145/1963405.1963508

Information spreading in context. / Wang, Dashun; Wen, Zhen; Tong, Hanghang; Lin, Ching Yung; Song, Chaoming; Barabási, Albert László.

Proceedings of the 20th International Conference on World Wide Web, WWW 2011. 2011. p. 735-744.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, D, Wen, Z, Tong, H, Lin, CY, Song, C & Barabási, AL 2011, Information spreading in context. in Proceedings of the 20th International Conference on World Wide Web, WWW 2011. pp. 735-744, 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, 3/28/11. https://doi.org/10.1145/1963405.1963508
Wang D, Wen Z, Tong H, Lin CY, Song C, Barabási AL. Information spreading in context. In Proceedings of the 20th International Conference on World Wide Web, WWW 2011. 2011. p. 735-744 https://doi.org/10.1145/1963405.1963508
Wang, Dashun ; Wen, Zhen ; Tong, Hanghang ; Lin, Ching Yung ; Song, Chaoming ; Barabási, Albert László. / Information spreading in context. Proceedings of the 20th International Conference on World Wide Web, WWW 2011. 2011. pp. 735-744
@inproceedings{239cf7296a29421c9a1f73fc9fed72ea,
title = "Information spreading in context",
abstract = "Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.",
keywords = "Context, Information spread, Network science, Social networks, Structure",
author = "Dashun Wang and Zhen Wen and Hanghang Tong and Lin, {Ching Yung} and Chaoming Song and Barab{\'a}si, {Albert L{\'a}szl{\'o}}",
year = "2011",
doi = "10.1145/1963405.1963508",
language = "English (US)",
isbn = "9781450306324",
pages = "735--744",
booktitle = "Proceedings of the 20th International Conference on World Wide Web, WWW 2011",

}

TY - GEN

T1 - Information spreading in context

AU - Wang, Dashun

AU - Wen, Zhen

AU - Tong, Hanghang

AU - Lin, Ching Yung

AU - Song, Chaoming

AU - Barabási, Albert László

PY - 2011

Y1 - 2011

N2 - Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.

AB - Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.

KW - Context

KW - Information spread

KW - Network science

KW - Social networks

KW - Structure

UR - http://www.scopus.com/inward/record.url?scp=84860843148&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860843148&partnerID=8YFLogxK

U2 - 10.1145/1963405.1963508

DO - 10.1145/1963405.1963508

M3 - Conference contribution

SN - 9781450306324

SP - 735

EP - 744

BT - Proceedings of the 20th International Conference on World Wide Web, WWW 2011

ER -