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Research paper | Open Access

A measurement framework of crowd intelligence

Yiqiang Feng1, Leiju Qiu2( ), Baowen Sun2
School of Information, Central University of Finance and Economics, Beijing, China
China Center for Internet Economy Research, Central University of Finance and Economics, Beijing, China
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Abstract

Purpose

The originality of the crowd cyber system lies in the fact that it possesses the intelligence of multiple groups including intelligence of people, intelligence of objects and intelligence of machines. However, quantitative analysis of the level of intelligence is not sufficient, due to many limitations, such as the unclear definition of intelligence and the inconformity of human intelligence quotient (IQ) test and artificial intelligence assessment methods. This paper aims to propose a new crowd intelligence measurement framework from the harmony of adaption and practice to measure intelligence in crowd network.

Design/methodology/approach

The authors draw on the ideas of traditional Confucianism, which sees intelligence from the dimensions of IQ and effectiveness. First, they clarify the related concepts of intelligence and give a new definition of crowd intelligence in the form of a set. Second, they propose four stages of the evolution of intelligence from low to high, and sort out the dilemma of intelligence measurement at the present stage. Third, they propose a framework for measuring crowd intelligence based on two dimensions.

Findings

The generalized IQ operator model is optimized, and a new IQ algorithm is proposed. Individuals with different IQs can have different relationships, such as cooperative, competitive, antagonistic and so on. The authors point out four representative forms of intelligence as well as its evolution stages.

Research limitations/implications

The authors, will use more rigorous mathematical symbols to represent the logical relationships between different individuals, and consider applying the measurement framework to a real-life situation to enrich the research on crowd intelligence in the further study.

Originality/value

Intelligence measurement is one of foundations of crowd science. This research lays the foundation for studying the interaction among human, machine and things from the perspective of crowd intelligence, which owns significant scientific value.

Keywords

Crowd scienceCrowd intelligenceCrowd cyberIntelligence measurement

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International Journal of Crowd Science
Volume 5 Issue 1,
April 2021
Pages 81-91
DOI: 10.1108/IJCS-09-2020-0015
Cite this article:
Feng Y, Qiu L, Sun B. A measurement framework of crowd intelligence. International Journal of Crowd Science, 2021, 5(1): 81-91. https://doi.org/10.1108/IJCS-09-2020-0015

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Received: 20 October 2020
Revised: 13 December 2020
Accepted: 14 December 2020
Published: 01 March 2021
© The author(s)

Yiqiang Feng, Leiju Qiu and Baowen Sun. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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