A complex network analysis of inbound tourism in Sicily; International Transactions on Electrical Energy Systems; Vol. 22, iss. 4
| Parent link: | International Transactions on Electrical Energy Systems Vol. 22, iss. 4.— 2019.— [P. 391-402] |
|---|---|
| Autore principale: | |
| Ente Autore: | |
| Altri autori: | |
| Riassunto: | Title screen In this article, the complex dynamics of inbound tourism in Sicily is analyzed for the period 1998–2017. The horizontal visibility graph algorithm is used to transform the overnight stays' time series into a network whose topology is investigated by standard network analysis. Discontinuities in the domestic and international tourism demand were identified in order to detect signals of change and the timing of the directional change in tourism growth. The network degree distribution confirms the complex structure of the destination and reveals the random and thus more unpredictable nature of the international tourism demand in Sicily, compared with a more stable domestic segment. Some policy implications are drawn/ Режим доступа: по договору с организацией-держателем ресурса |
| Lingua: | inglese |
| Pubblicazione: |
2019
|
| Soggetti: | |
| Accesso online: | https://doi.org/10.1002/jtr.2343 |
| Natura: | MixedMaterials Elettronico Capitolo di libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663965 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 663965 | ||
| 005 | 20250429133835.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\35135 | ||
| 035 | |a RU\TPU\network\33525 | ||
| 090 | |a 663965 | ||
| 100 | |a 20210319d2019 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a A complex network analysis of inbound tourism in Sicily |f D. Provenzano, R. Baggio | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 400-402 (84 tit.)] | ||
| 330 | |a In this article, the complex dynamics of inbound tourism in Sicily is analyzed for the period 1998–2017. The horizontal visibility graph algorithm is used to transform the overnight stays' time series into a network whose topology is investigated by standard network analysis. Discontinuities in the domestic and international tourism demand were identified in order to detect signals of change and the timing of the directional change in tourism growth. The network degree distribution confirms the complex structure of the destination and reveals the random and thus more unpredictable nature of the international tourism demand in Sicily, compared with a more stable domestic segment. Some policy implications are drawn/ | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t International Transactions on Electrical Energy Systems | ||
| 463 | |t Vol. 22, iss. 4 |v [P. 391-402] |d 2019 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a horizontal visibility graph algorithm | |
| 610 | 1 | |a island | |
| 610 | 1 | |a network analysis | |
| 610 | 1 | |a Sicily | |
| 610 | 1 | |a time series | |
| 610 | 1 | |a tourism | |
| 610 | 1 | |a сетевой анализ | |
| 610 | 1 | |a Сицилия | |
| 610 | 1 | |a туризм | |
| 700 | 1 | |a Provenzano |b D. |g Davide | |
| 701 | 1 | |a Baggio |b R. |c Italian expert, philosopher |c Professor of Tomsk Polytechnic University, candidate of philosophical Sciences |f 1951- |g Rodolfo |3 (RuTPU)RU\TPU\pers\39762 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Школа базовой инженерной подготовки |b Отделение социально-гуманитарных наук |3 (RuTPU)RU\TPU\col\23512 |
| 801 | 0 | |a RU |b 63413507 |c 20210319 |g RCR | |
| 850 | |a 63413507 | ||
| 856 | 4 | |u https://doi.org/10.1002/jtr.2343 | |
| 942 | |c CF | ||