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Actions speak as loud as words: predicting relationships from social behavior data

Authors:

Malik Magdon-IsmailAuthors Info & Claims

WWW '12: Proceedings of the 21st international conference on World Wide Web

Pages 689 - 698

https://doi.org/10.1145/2187836.2187930

Published: 16 April 2012 Publication History

Abstract

In recent years, new studies concentrating on analyzing user personality and finding credible content in social media have become quite popular. Most such work augments features from textual content with features representing the user's social ties and the tie strength. Social ties are crucial in understanding the network the people are a part of. However, textual content is extremely useful in understanding topics discussed and the personality of the individual. We bring a new dimension to this type of analysis with methods to compute the type of ties individuals have and the strength of the ties in each dimension. We present a new genre of behavioral features that are able to capture the "function" of a specific relationship without the help of textual features. Our novel features are based on the statistical properties of communication patterns between individuals such as reciprocity, assortativity, attention and latency. We introduce a new methodology for determining how such features can be compared to textual features, and show, using Twitter data, that our features can be used to capture contextual information present in textual features very accurately. Conversely, we also demonstrate how textual features can be used to determine social attributes related to an individual.

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Cited By

Chen TChen YTsai M(2021)A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing SystemsResearch Anthology on Strategies for Using Social Media as a Service and Tool in Business10.4018/978-1-7998-9020-1.ch029(557-581)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-9020-1.ch029
Qureshi KMalick RSabih M(2021)Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and RecommendationIEEE Access10.1109/ACCESS.2021.31144179(137744-137781)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3114417
Chen TChen YTsai M(2020)A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing SystemsInternational Journal on Semantic Web and Information Systems10.4018/IJSWIS.202001010216:1(25-46)Online publication date: Jan-2020
https://doi.org/10.4018/IJSWIS.2020010102
Show More Cited By

Index Terms

Actions speak as loud as words: predicting relationships from social behavior data
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
    2. Sociology
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction

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Information

Published In

cover image ACM Other conferences

WWW '12: Proceedings of the 21st international conference on World Wide Web

April 2012

1078 pages

ISBN:9781450312295

DOI:10.1145/2187836

General Chairs:
Alain Mille
Université de Lyon, France
,
Fabien Gandon
INRIA, France
,
Jacques Misselis
HP, France
,
Program Chairs:
Michael Rabinovich
Case Western Reserve University, USA
,
Steffen Staab
University of Koblenz-Landau, Germany

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Univ. de Lyon: Universite de Lyon

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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WWW 2012

Sponsor:

Univ. de Lyon

WWW 2012: 21st World Wide Web Conference 2012

April 16 - 20, 2012

Lyon, France

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Chen TChen YTsai M(2021)A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing SystemsResearch Anthology on Strategies for Using Social Media as a Service and Tool in Business10.4018/978-1-7998-9020-1.ch029(557-581)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-9020-1.ch029
Qureshi KMalick RSabih M(2021)Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and RecommendationIEEE Access10.1109/ACCESS.2021.31144179(137744-137781)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3114417
Chen TChen YTsai M(2020)A Status Property Classifier of Social Media User's Personality for Customer-Oriented Intelligent Marketing SystemsInternational Journal on Semantic Web and Information Systems10.4018/IJSWIS.202001010216:1(25-46)Online publication date: Jan-2020
https://doi.org/10.4018/IJSWIS.2020010102
Xue BWang BYu YHe RHou YSong D(2019)Measuring Bidirectional Subjective Strength of Online Social Relationship by Synthetizing the Interactive Language Features and Social Balance (Short Paper)Collaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-12981-1_7(112-123)Online publication date: 7-Feb-2019
https://doi.org/10.1007/978-3-030-12981-1_7
Wang BSun YHou YSong DHe R(2018)Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language UseCollaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-00916-8_15(153-163)Online publication date: 26-Sep-2018
https://doi.org/10.1007/978-3-030-00916-8_15
Li ZFang XBai XSheng O(2017)Utility-Based Link Recommendation for Online Social NetworksManagement Science10.1287/mnsc.2016.244663:6(1938-1952)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1287/mnsc.2016.2446
Li ZFang XSheng O(2017)A Survey of Link Recommendation for Social NetworksACM Transactions on Management Information Systems10.1145/31317829:1(1-26)Online publication date: 25-Oct-2017
https://dl.acm.org/doi/10.1145/3131782
Vedula NParthasarathy SShalin VFox PMcGuinness DPoirer LBoldi PKinder-Kurlanda K(2017)Predicting Trust Relations Within a Social NetworkProceedings of the 2017 ACM on Web Science Conference10.1145/3091478.3091494(53-62)Online publication date: 25-Jun-2017
https://dl.acm.org/doi/10.1145/3091478.3091494
Ruan YZhang PAlfantoukh LDurresi A(2017)Measurement Theory-Based Trust Management Framework for Online Social CommunitiesACM Transactions on Internet Technology10.1145/301577117:2(1-24)Online publication date: 24-Mar-2017
https://dl.acm.org/doi/10.1145/3015771
Kalia ABuchler NDeCostanza ASingh M(2017)Computing Team Process Measures From the Structure and Content of Broadcast Collaborative CommunicationsIEEE Transactions on Computational Social Systems10.1109/TCSS.2017.26729804:2(26-39)Online publication date: Jun-2017
https://doi.org/10.1109/TCSS.2017.2672980
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