Research on communication efficiency of resident emergency knowledge embedded in social network

doi:10.16265/j.cnki.issn1003-3033.2022.08.2806

Abstract

Abstract:

In order to improve the efficiency of emergency knowledge in interpersonal communication, questionnaire and social network analysis were used on rural residents, and UCINET6.645 software was used to analyze the node's degree centrality, eigenvector centrality, betweenness centrality and the density of the emergency knowledge network transmission among residents from the perspective of interpersonal communication. Based on this, the emergency knowledge dissemination efficiency and its network structure were studied. The results show that: the emergency knowledge dissemination network of rural residents is sparse, and the awareness of interpersonal emergency knowledge communication needs to be improved. Residents with great influence on others in the network play an important role in the emergency knowledge dissemination network. Key residents can be used to promote the dissemination of emergency knowledge and culture.

Key words: social network, rural residents, emergency knowledge, transmission efficiency, interpersonal communication, degree centrality

QIAN Hongwei, LI Xin, LI Xiteng, WANG Yan. Research on communication efficiency of resident emergency knowledge embedded in social network[J]. China Safety Science Journal, 2022, 32(8): 154-160.

Figures/Tables 8

Tab.1

Tab.2

Fig.1

Tab.3

Fig.2

Fig.3

Tab.4

References 17

[1]	中华人民共和国中央人民政府. 国家突发公共事件总体应急预案[DB/OL].[2006-01-08].
[2]	武汉消防. "7.13"汉南区武汉格雅科技有限公司火灾案例剖析[DB/OL].[2019-08-29].
[3]	消防百事通. 浙江宁波锐奇日用品有限公司"9·29"重大火灾事故调查报告[DB/OL].[2020-10-28].
[4]	罗家德. 社会网分析讲义[M]. 北京: 社会科学文献出版社, 2005:5-80.
[5]	曹威伟, 张云英. "一核多元"社会网络:理解中国社会动员能力的新视角:基于疫情危机应对实践的思考[J]. 湖南农业大学学报:社会科学版, 2020, 21(6):66-73,83.
	CAO Weiwei, ZHANG Yunying. "One leadership core and multi-subject co-governance" social network: a new perspective to understand China's social mobilization ability:thinking based on the practice of responding to the epidemic crisis[J]. Journal of Hunan Agricultural University:Social Sciences, 2020, 21(6):66-73,83.
[6]	LINDELL M K, PERRY R W, PRATER C. Introduction to emergency management[M]. Hoboken: John Wiley & Sons, 2006:54-80.
[7]	HA K M, AHN J Y. Application of the "Spider-web approach" to Korean emergency management[J]. Journal of Homeland Security and Emergency Management, 2011, 6(1):6-13.
[8]	向紫娟. 强弱关系对突发事件信息传播的影响[J]. 青年记者, 2020(35):18-19.
[9]	张英. 科普智库助力应急科普[J]. 科普研究, 2021, 16(1):13-14.
	ZHANG Ying. Science popularization think tanks assist emergency science popularization[J]. Studies on Science Popularization, 2021, 16(1):13-14.
[10]	刘晓岚. 我国应急科普全媒体传播研究[J]. 青年记者, 2021(10):48-49.
[11]	黄冰毅. 突发公共事件下新媒体渠道科普知识传播表现研究:以丁香医生发布的新型冠状肺炎疫情信息为例[J]. 情报探索, 2020(9):81-87.
	HUANG Bingyi. Research on the performance of scientific knowledge dissemination on new media channel in public emergencies:Case study of coronavirus information published by Dingxiang Doctor[J]. Information Research, 2020(9):81-87.
[12]	王志英, 邓航宇, 王念新, 等. 问答社区信息安全突发事件应急知识传播模型研究[J]. 情报杂志, 2019, 38(10):136-145.
	WANG Zhiying, DENG Hangyu, WANG Nianxin, et al. Research on emergency knowledge spreading model of information security emergencies in Q&A community[J]. Journal of Intelligence, 2019, 38(10):136-145.
[13]	GOULD R V. Multiple networks and mobilization in the Paris commue,1871[J]. American Sociology Review, 1991, 56:716-729. doi: 10.2307/2096251
[14]	徐淑华, 陈建新, 祁慧. 基层网格化应急治理:主要问题及改进路径[J]. 中国安全科学学报. 2021, 31(1):8-17. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.002
	XU Shuhua, CHAN Kinsun, QI Hui. Grassroots grid emergency governance: main challenges and improvement paths[J]. China Safety Science Journal, 2021, 31(1):8-17. doi: 10.16265/j.cnki.issn 1003-3033.2021.01.002
[15]	宋清华, 陈建宏. 考虑公众辟谣及反馈机制的谣言传播及干预研究[J]. 中国安全科学学报, 2017, 27(2) : 13-17. doi: 10.16265/j.cnki.issn1003-3033.2017.02.003
	SONG Qinghua, CHEN Jianhong. Study on rumor propagation and intervention considering rumor refutation of public and feedback mechanism[J]. China Safety Science Journal, 2017, 27(2) : 13-17. doi: 10.16265/j.cnki.issn1003-3033.2017.02.003
[16]	王炎龙. 媒介进化中的传播理念嬗变与辨析[J]. 西南民族大学学报:人文社科版, 2018, 39(10):141-146.
	WANG Yanlong. The eolution and discrimination of communication concept in media evolution[J]. Journal of Southwest Minzu University: Humanities and Social Science, 2018, 39(10):141-146.
[17]	LUO Hao, PAN Jengshyang, LU Zheming, et al. Joint halftoning and visible watermarking[C]. 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006: 109-112.

居民	知识交流程度
居民	0没有	1一点	2一般	3多	4很多	5非常多
1张三	□	□	□	□	□	□
2李四	□	□	□	□	□	□
︙	︙	︙	︙	︙	︙	︙
69王五	□	□	□	Ρ	□	□
70赵六	□	□	□	□	□	□

节点编号	1	2	3	4	5	6	7	8	9	10
1	—	0	1	0	2	0	0	0	0	1
2	2	—	0	0	0	0	0	0	0	0
3	0	1	—	0	1	0	0	0	1	0
4	0	0	1	—	1	0	3	0	0	0
5	0	1	0	3	—	0	0	0	0	1
6	2	0	0	0	0	—	0	0	2	0
7	0	0	0	0	0	0	—	0	3	0
8	0	0	0	5	2	0	2	—	0	2
9	1	0	0	0	0	0	0	0	—	0
10	0	0	0	0	0	0	0	0	0	—

被调查者基本情况
被调查者人员特征		人数	占比/%
性别	男	37	52.86
性别	女	33	47.14
年龄/岁	18~39	13	18.57
	40~60	31	44.29
	>60	26	37.14
婚姻状况	未婚	12	17.14
	已婚	44	62.86
	离异	5	7.14
	丧偶	9	1.29
文化程度	小学	16	22.86
	初中	23	32.86
	高中	19	27.14
	大学及以上	6	8.57
	其他	6	8.57
就业情况	个体	3	4.29
	务农	47	67.14
	无业	8	11.43
	退休	12	17.14

节点编号	点度中心度	特征向量中心度	中介中心度	节点编号	点度中心度	特征向量中心度	中介中心度
20	0.108	1.000	38.035	55	0.035	0.254	8.911
21	0.100	0.913	48.166	56	0.064	0.426	35.823
22	0.085	0.708	33.213	57	0.045	0.329	26.312
23	0.092	0.861	29.748	58	0.039	0.299	10.734
24	0.066	0.551	19.940	59	0.052	0.337	14.874
25	0.085	0.733	33.963	60	0.043	0.370	27.019
26	0.079	0.675	25.141	61	0.048	0.376	20.963
27	0.069	0.502	24.611	62	0.026	0.212	5.763
28	0.053	0.398	21.905	63	0.047	0.381	30.462
29	0.081	0.667	24.415	64	0.056	0.407	24.632
30	0.061	0.476	44.006	65	0.053	0.428	26.419
31	0.064	0.605	13.246	66	0.040	0.267	22.085
32	0.061	0.542	19.393	67	0.045	0.345	13.585
33	0.058	0.494	30.564	68	0.027	0.189	16.111
34	0.050	0.415	16.747	69	0.034	0.299	7.413
35	0.066	0.516	23.787	70	0.043	0.302	26.380

节点编号	点度中心度	特征向量中心度	中介中心度	节点编号	点度中心度	特征向量中心度	中介中心度
1	0.085	0.677	58.617	36	0.095	0.793	31.390
2	0.079	0.632	40.842	37	0.068	0.516	18.441
3	0.060	0.467	27.876	38	0.097	0.848	23.702
4	0.066	0.571	23.987	39	0.079	0.659	30.468
5	0.081	0.650	37.810	40	0.076	0.603	31.421
6	0.063	0.560	19.517	41	0.116	0.772	87.918
7	0.053	0.410	13.476	42	0.055	0.443	14.807
8	0.076	0.639	23.654	43	0.068	0.554	30.483
9	0.055	0.449	18.944	44	0.089	0.698	39.203
10	0.076	0.621	26.959	45	0.069	0.591	10.268
11	0.045	0.379	19.995	46	0.063	0.456	34.410
12	0.069	0.544	32.685	47	0.072	0.575	22.244
13	0.064	0.461	29.764	48	0.055	0.400	24.091
14	0.040	0.291	21.369	49	0.072	0.636	14.015
15	0.063	0.568	13.050	50	0.069	0.542	24.328
16	0.087	0.714	49.910	51	0.031	0.218	2.136
17	0.092	0.853	47.636	52	0.016	0.110	3.822
18	0.066	0.523	19.647	53	0.055	0.385	19.105
19	0.058	0.542	14.146	54	0.047	0.378	6.501