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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (4): 10-19    DOI: 10.11925/infotech.2096-3467.2017.1095
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Evaluating Web Information for Ancient Villages Based on Rank Aggregation
Guo Chonghui(), Li Minqian
Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China
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Abstract  

[Objective] This paper tries to evaluate Web information for ancient villages based on the rank aggregation method. [Methods] First, we proposed the framework and method to evaluate Web information resources for the ancient villages. Then, we selected six dimensions of observation, and constructed the evaluation index system. Third, we aggregated several evaluation methods using the BILPS technique, as well as combining subjective and objective weights. Finally, we evaluated the ancient village’s online presence with the proposed algorithm. [Results] We examined 64 ancient villages in China’s Guangdong Province and found that most of the Top 10 ancient villages were in the provincial city of Guangzhou. [Limitations] We only investigated the web information resources for ancient villages in Guangdong Province, more research is needed to study ancient villages in other regions. [Conclusions] This study could help decision-makers, managers and local residents better understand the ancient villages’ online impacts, and then promote their development.

Key wordsAncient Villages      Web Information Resources      Rank Aggregation     
Received: 05 November 2017      Published: 11 May 2018
ZTFLH:  G203  

Cite this article:

Guo Chonghui,Li Minqian. Evaluating Web Information for Ancient Villages Based on Rank Aggregation. Data Analysis and Knowledge Discovery, 2018, 2(4): 10-19.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1095     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I4/10

考察维度 具体指标
百度百科词条 古村落词条的数量
古村落词条的编辑次数
古村落词条的浏览次数
古村落词条的时效性
古村落词条的长度
古村落主页 是否有主页
网络地图 古村落地图的精确度
古村落地图的详情页数量
旅游网站 古村落评论的条数
古村落游记的篇数
中国知网 中国知网中古村落文献的数量
百度新闻 古村落的新闻报道数量
具体指标 熵值法权重 AHP权重
古村落词条数量 1.56% 5.99%
古村落词条的编辑次数 2.84% 5.02%
古村落词条的浏览次数 15.15% 7.71%
古村落词条的时效性 3.60% 1.84%
古村落词条的长度 3.23% 5.72%
是否有主页 19.17% 24.74%
古村落地图的精确度 0.49% 2.22%
古村落地图的详情页数量 5.72% 2.19%
古村落评论的条数 18.12% 14.77%
古村落游记的篇数 17.65% 15.79%
中国知网中古村落的文献数量 7.05% 4.13%
古村落的新闻报道数量 5.43% 9.87%
NUM TOP_ENT TOP_AHP MAR_ENT MAR_AHP SIM_ENT SIM_AHP PCA
1 0.7762 0.6791 0.8862 0.8434 0.7619 0.6546 5.6411
2 0.4566 0.4964 0.3404 0.3609 0.5688 0.6051 2.7181
3 0.2436 0.3466 0.1347 0.1892 0.3835 0.4742 1.6073
4 0.2343 0.3301 0.1071 0.1366 0.3467 0.4069 0.9500
5 0.2365 0.3273 0.1093 0.1357 0.3271 0.3857 0.7313
6 0.2279 0.3197 0.0952 0.1267 0.3003 0.3679 0.4486
7 0.2276 0.3199 0.0957 0.1215 0.2517 0.3354 0.1373
8 0.1202 0.1155 0.0692 0.0694 0.1879 0.1833 1.0593
9 0.0737 0.1232 0.0451 0.0764 0.1554 0.2021 1.1254
10 0.0805 0.0972 0.0460 0.0542 0.1585 0.1586 0.9839
11 0.0659 0.1244 0.0523 0.0854 0.0926 0.1617 0.8905
12 0.0893 0.0778 0.0568 0.0469 0.1424 0.1253 0.6339
13 0.0629 0.0700 0.0374 0.0368 0.1477 0.1439 0.6719
14 0.0706 0.1247 0.0284 0.0408 0.1148 0.1458 0.2337
15 0.0550 0.0884 0.0344 0.0550 0.1196 0.1507 0.4739
20 0.0517 0.1030 0.0377 0.0591 0.0575 0.1196 0.1642
41 0.0246 0.0338 0.0164 0.0162 0.0544 0.0709 -0.4864
44 0.0141 0.0500 0.0166 0.0238 0.0250 0.0743 -0.4827
46 0.0283 0.0502 0.0220 0.0263 0.0365 0.0523 -0.6027
NUM TOP_ENT TOP_AHP MAR_ENT MAR_AHP SIM_ENT SIM_AHP PCA BILPS
1 1 1 1 1 1 1 1 1
2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 3 3 3
4 5 4 5 4 4 4 7 4
5 4 5 4 5 5 5 9 5
6 6 7 7 6 6 6 14 6
7 7 6 6 7 7 7 20 7
8 8 11 8 10 8 9 5 8
9 11 10 12 9 10 8 4 9
10 10 13 11 13 9 11 6 10
11 13 9 10 8 24 10 8 11
12 9 16 9 14 12 19 11 12
13 14 18 15 18 11 15 10 13
14 12 8 20 15 20 13 18 14
15 20 14 16 12 17 12 13 15
20 23 12 14 11 35 21 19 20
41 42 51 47 52 37 41 46 41
44 51 30 44 29 53 37 44 44
46 39 29 30 26 46 54 49 46
Spearman TOP_ENT TOP_AHP MAR_ENT MAR_AHP SIM_ENT SIM_AHP PCA
$\rho_{k}$ 0.9785 0.9462 0.9698 0.9543 0.9632 0.9899 0.9872
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