TY  - JOUR
AB  - Purpose Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is to improve the intelligence level of a crowd network by optimizing the profession distribution of the crowd network.Design/methodology/approach Based on the concept of information entropy, this paper introduces the concept of business entropy and puts forward several factors affecting business entropy to analyze the relationship between the intelligence level and the profession distribution of the crowd network. This paper introduced Profession Distribution Deviation and Subject Interaction Pattern as the two factors which affect business entropy. By quantifying and combining the two factors, a Multi-Factor Business Entropy Quantitative (MFBEQ) model is proposed to calculate the business entropy of a crowd network. Finally, the differential evolution model and k-means clustering are applied to crowd intelligence network, and the species distribution of intelligent subjects is found, so as to achieve quantitative analysis of business entropy.Findings By establishing the MFBEQ model, this paper found that when the profession distribution of a crowd network is deviate less to the expected distribution, the intelligence level of a crowd network will be higher. Moreover, when subjects within the crowd network interact with each other more actively, the intelligence level of a crowd network becomes higher.Originality/value This paper aims to build the MFBEQ model according to factors that are related to business entropy and then uses the model to evaluate the intelligence level of a number of crowd networks.
VL  - 3
IS  - 3
SN  - 2398-7294
DO  - 10.1108/IJCS-05-2019-0014
UR  - https://doi.org/10.1108/IJCS-05-2019-0014
AU  - Li Zhouxia
AU  - Pan Zhiwen
AU  - Wang Xiaoni
AU  - Ji Wen
AU  - Yang Feng
PY  - 2019
Y1  - 2019/01/01
TI  - Intelligence level analysis for crowd networks based on business entropy
T2  - International Journal of Crowd Science
PB  - Emerald Publishing Limited
SP  - 249
EP  - 266
Y2  - 2024/04/25
ER  -