Analysis of the Structure and Characteristics of Information
Collaboration in Complex Networks Based on Public Health
Emergencies
Yunan Yang
1
, Shangqi Jia
2
, Nan Wang
2
, Wenqi Song
3
, Minhao Qiu
4,*
and Mengxue Yang
5,*
1
The University of Hong Kong, China
2
Capital Medical University, China
2
Kunming Medical University, China
3
Gannan Normal University, China
4
Kobe University, Japan
5
The University of Sydney, Australia
Keywords: Public Health Emergencies, Social Networks, Multiple Subjects, Information Collaboration.
Abstract: This study aims to provide a reference for emergency management departments to respond to public health
emergencies and to explain the information coordination process of various subjects in public health emer-
gencies through the correlation analysis of information coordination elements in public health emergencies.
From the meaning of information coordination, the study defines and discusses the elements and traits of
information coordination among numerous actors in public health situations. The article first describes the
context and importance of the investigation, makes the topic and goal of the study clear, and then specifies
the terminology and theoretical substance of the paper and offers the theoretical underpinnings for the argu-
ment. Through statistical analysis of the current state of the government's emergency information service
using electronic questionnaires, it has been determined that the government's emergency management is lack-
ing in three areas: organization and management, information technology, and operation and maintenance.
1 INTRODUCTION
At this point, emergency management presents the
government with never-before-seen difficulties. The
departmental responsibility-oriented emergency
management model is unable to adapt to the difficult,
wide-ranging, and ever-evolving challenges of man-
aging major crises, particularly the grave conse-
quences brought on by simultaneous and chain-trans-
mission disasters, which cannot be addressed by the
earlier small-scale emergency response programs.
The traditional government service paradigm is
becoming inadequate to quickly gather first-hand in-
formation in emergency disaster situations in light of
the contemporary information environment. Alt-
hough "disaster type" data monitoring can gather
comprehensive data on the nature, timing, intensity,
and outcomes of a crisis, there is fragmentation be-
tween data collection departments and significant
blockage and closure between information transmis-
sion and sharing, which cannot be resolved effec-
tively and promptly by internal horizontal transmis-
sion or vertical reporting.
2 LITERATURE REVIEW
2.1 Collaborative Technology
Perspective on Government
Information Resources Building
Leveraging collaborative technologies to build gov-
ernment information resources. To more effectively
access each local government's information reporting
and feedback, Zhu Ruxun (2014) proposed integrat-
ing government information resources into a cloud
computing environment, creating a new virtual data
platform, offering cross-platform and cross-network
data interaction and sharing services, and improving
global planning and adjustment from top-level de-
sign. Blockchain technology was introduced by Gao
672
Yang, Y., Jia, S., Wang, N., Song, W., Qiu, M. and Yang, M.
Analysis of the Structure and Characteristics of Information Collaboration in Complex Networks Based on Public Health Emergencies.
DOI: 10.5220/0012041700003620
In Proceedings of the 4th International Conference on Economic Management and Model Engineering (ICEMME 2022), pages 672-676
ISBN: 978-989-758-636-1
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
Guowei et al. (2018) into the reform of the govern-
ment's basic information path, transforming each de-
partment into a point in the overall structure and cre-
ating a link between departments in the form of points
to realize data exchange, realizing decentralization
and de-marginalization; concurrently, the data is
backed up and can be used multiple times in retrieval,
boosting the efficiency and breadth of information us-
age. To clarify the future direction of optimizing the
collaboration and development of key departments in
China's smart government, Hu Mo and Ma Jie et al.
(2020) depict the influence of government depart-
ments on the overall government and score the node
linkages.
2.2 Government Information
Resources Collaborative Sharing
Perspective
Gan Yu and Liu Kunxiong (2015) propose four strat-
egies to build a composite level of collaborative or-
ganizational relationship, improve the adhesion of in-
formation resources and services, insist on user-ori-
ented full services, and form an interactive and circu-
lar system. They use the construction of innovative
inter-regional information collaboration in Hunan
Province as their starting point. In the form of actual
study, Liu Huancheng and Li Yujie (2018) examined
the current state of information resource sharing in
China's collaborative government and proposed a so-
lution to address the existing information resource oc-
clusion issue from the standpoint of multi-body build-
ing. In order to solve specific types of problems in the
middle ground, Feng Weichen and Liu Xinping
(2018) brought incentive theory into government col-
laboration and information sharing and employed
shared interests as the driving force behind collabora-
tion.
2.3 The Lack of Detailing in
Government Information
Classification Research
Government information sharing and collaboration
are examined by domestic scholars only from a macro
perspective because they lack a thorough understand-
ing of the information held by the various depart-
ments that make up the government as a whole. This
causes a discrepancy between theory and reality in
practical application. As a result, rigors categoriza-
tion of government information study is required. It is
necessary to better develop government information
collaboration practice and research. The majority of
domestic scholars' theoretical research on collabora-
tive government information service is abstract; it
lacks field research and case studies on practical ap-
plication; and it is unable to experience the working
mode and working environment of information ser-
vice in government work, leading to generalization
and hollowing out of theoretical research.
2.4 Information Synergy Theory
Information synergy theory is a development of syn-
ergy theory, which dates back to 1976 and the gener-
alization of the traditional theory from synergistic ef-
fects by German theoretical physicist Hermann
Hacken. The synergy theory states that synergy is a
type of subjective and dynamic integrative behavior
that causes the organizational components to develop
a close, linked, and effective relationship with one an-
other, leading to an amplified effect at work. The
number of elements and subsystems cannot only be
multiplied by or subtracted from one another. Syn-
ergy was initially used to explain the inherent laws of
order and disorder of systems at the spatial scale, but
as humanities and social sciences gradually became
aware of it, its range of application and intrinsic sig-
nificance were continuously expanded, giving rise to
information synergy theory. Information synergy, ac-
cording to Huang et al., is the spreading and sharing
of information among several people and the new ad-
ditive effect that results. The first thing, according to
Zhang, is synergy, and the crucial element of infor-
mation synergy is the occurrence of synergy-led ac-
tion, which results in the multi-level processing of in-
formation and the combination of information into
various synergistic roles, having a significant impact
on the internal information system. Information syn-
ergy theory is currently understood in academic cir-
cles in a broad and ambiguous manner, demonstrating
a gradual development of study from "connotation" to
"extension". As opposed to the theoretical disparity,
the field of practice is the primary source of study.
Here, the framework for information generation in
various scenarios is applied, and the naturally occur-
ring group information synergy behavior is used as
the detailed analysis object. In order to conduct study
on information synergy, the primary scholars, led by
Chen Rui, limit the occurrence of information syn-
ergy to the smart city and categorize the information
synergy process into three stages of "initiation-flow-
arrival."
Analysis of the Structure and Characteristics of Information Collaboration in Complex Networks Based on Public Health Emergencies
673
3 METHODOLOGY
3.1 Questionnaire Design
In this paper, the collaborative service for sharing
emergency information serves as both the study topic
and the application subject. Four sections and 28
questions made up the questionnaire, which included
both subjective fill-in-the-blank questions and objec-
tive multiple-choice ones. In order to describe and
categorize the sample group, the first section of the
questionnaire asks respondents about their gender,
occupation, education, and other basic details; the
second section is about the respondents' initial under-
standing of emergency management, and it is used to
find out how well they understand it. The third section
is about the issues with government emergency man-
agement, and it looks into them from the perspectives
of efficiency, information sharing, and emergency
measures. The final section is about subjective ques-
tions, and it is used to find out how well the respond-
ents understand emergency management. The third
section examines the issues with government emer-
gency management from three angles: efficiency, in-
formation sharing, and emergency actions.
Number of question-
naires collected
Valid responses to the
questionnaire
Invalid questionnaire Effective feedback rate
210 199 11 94.76%
Figure 1: Questionnaire feedback rate statistics table.
The following table contains specific information
about the 200 valid questionnaires that were gathered
using the Questionnaire Star platform. The infor-
mation was divided into five categories based on the
sample's basic characteristics: gender, age distribu-
tion, education, occupation, and type of unit to which
they belonged.
Statistical question
items
Statistical description
Gender
Male
109
(54.76%)
Female
90
(45.24%)
Age
25 or below
73
(36.67%)
26-35
80
(40%)
36-45
27
(13.81%)
45 or above
19
(9.52%)
Academic level
High school
12
(6.05%)
Vocational
20
(10.06%)
Bachelor
56
(28.1%)
Master
86
(43.21%)
Doctorate
23
(11.58%)
Occupation
Public servant
71
(35.67%)
Student
65
(32.66%)
Teacher
16
(8.04%)
Others
47
(23.62%)
Workplace
Governmental unit
79
(39.7%)
Academia
87
(43.72%)
Others
33
(16.58%)
Figure 2: Sample Basic Statistics.
Since the bulk of the sample in this study consists
of individuals who have either direct or indirect inter-
action with emergency management, they are content
with it. As a result, only 5% of respondents are dissat-
isfied with the current government emergency man-
agement, and 34.12% are. This shows that there are
still unfinished emergency management components
inside our government, necessitating further investiga-
tion and gap filling in order to correct the errors. Fur-
thermore, the statistical information gathered by the
surveyor regarding the emergency management objec-
tives of the government can aid in our comprehension
of the disparity between the government's emergency
management capabilities and the actual needs, as well
as provide direction and guidance for the govern-
ment's future development and reform priorities
ICEMME 2022 - The International Conference on Economic Management and Model Engineering
674
Title Options Select number Percentage of samples
Building objectives of
government emergency
management work
Improve emergency com-
mand and control capa-
b
ilit
y
93 46.73%
Improving emergency
ra
p
id res
p
onse ca
p
abilit
y
104 52.26%
Improving emergency re-
sponse capability
112 56.78%
Improving emergency co-
ordination service capa-
b
ilit
y
113 56.78%
Figure 3: Building objectives of government emergency management work.
3 DISCUSSION
The governmental body has established a comprehen-
sive information gathering and dissemination system
as the information subject with the tightest division of
labor in the information coordination structure. When
a public health emergency arises, individuals or units
will first report it to local CDCs and medical facili-
ties, which will then relay it to higher-level health ad-
ministrative departments. Finally, health administra-
tive departments will report the emergency to their
provincial governments, which will then decide
whether to activate the emergency plan. The original
information sources of public health emergencies will
be disseminated throughout various agencies and lev-
els of government in this organizational framework.
The market, the community, the public, and other
players will accept the government's unified deploy-
ment and make modifications in accordance with the
realities of the situation when the government makes
and issues a decision.
Market participants must also participate in addi-
tion to government actors. The government can dis-
tribute resources in a useful way across the country,
but it cannot do so precisely. In order to achieve pre-
cise allocation and make up for the lack of govern-
ment material allocation, market participants can ad-
just the input and output of necessary materials in ac-
cordance with changes in the market's supply and de-
mand. They can also feed back the information after
allocation to the market itself, which will be gathered
and compiled by the government.
In the coordinated structure of public health emer-
gency communication, social actors can have a sig-
nificant impact. Some groups are unable to get sup-
plies in accordance with their actual needs due to the
market's profit-driven nature, and a shortage of hu-
man resources can make it difficult to prevent and
treat public health issues. These challenges can be ef-
ficiently addressed by the public interest and philan-
thropic groups that make up the social actors, and the
data produced by their actions is given back to the
public and gathered by the government.
Figure 4: The relationship between publicity, society, market, and the government.
Recovery from public health emergencies is the
primary goal of information collaboration during this
time. The public, the market, and the government are
the key participants in information coordination
throughout this time. After a public health crisis, the
Analysis of the Structure and Characteristics of Information Collaboration in Complex Networks Based on Public Health Emergencies
675
government will set up a damage assessment and in-
formation feedback mechanism to track the damage
and the population's state of recovery. At this point,
the information coordination model will demonstrate
that the primary information coordination model sub-
jects are the government, market, and public, while
the supplementary information coordination model
subjects are the medical and social. The three parties
work together to restore social order in this paradigm,
with the public serving as the primary participant, the
market serving as the executor, and the government
serving as the coordinator. The relevant ministries
will carry out a thorough analysis of the incident's
process and outcomes and update the health incident
management database. The government's emergency
management centre will analyse the harm caused by
the incident, create a report, and submit it to the gov-
ernment. In order to ensure a fair allocation of re-
sources, the market will also revalue commodities
based on the current supply and demand situation as
well as governmental directives. Through the Inter-
net, the phone, and complaint letters, the public will
be able to voice their opinions on the success of the
emergency measures.
4 CONCLUSION
China now has a very poor system in place for han-
dling public health emergencies, and it is necessary to
reinforce the handling procedures in addition to im-
proving the norms and regulations that apply. At the
same time, younger individuals made up the majority
of respondents to this case study questionnaire, and
the vulnerable older population's sample size was
less. Finally, since the questionnaires for this study
were gathered in a concentrated period of time, the
analysis of cross-sectional data did not fully capture
the characteristics of the behavior of the general pub-
lic in terms of information coordination during public
health emergencies, i.e., the impact of changes in the
information epidemic on information coordination at
various stages of public health emergencies.
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