مقاله انگلیسی رایگان در مورد خصوصیات شبکه های اجتماعی آنلاین پس از یک فاجعه – الزویر ۲۰۱۸

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله آنالیز شبکه اجتماعی: خصوصیات شبکه های اجتماعی آنلاین پس از یک فاجعه
عنوان انگلیسی مقاله Social network analysis: Characteristics of online social networks after a disaster
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی  ۱۱ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۵٫۵۷۹ در سال ۲۰۱۷
شاخص H_index ۸۲ در سال ۲۰۱۹
شاخص SJR ۱٫۳۷۳ در سال ۲۰۱۷
شناسه ISSN ۰۲۶۸-۴۰۱۲
شاخص Quartile (چارک) Q1 در سال ۲۰۱۷
رشته های مرتبط مهندسی فناوری اطلاعات IT
گرایش های مرتبط شبکه های کامپیوتری – اینترنت و شبکه های گسترده
نوع ارائه مقاله
ژورنال
مجله / کنفرانس  International Journal of Information Management
دانشگاه Division of Construction Engineering and Management, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, USA
کلمات کلیدی اطلاعات اورژانسی، ارتباطات فاجعه، رسانه های اجتماعی، پاسخ فاجعه، آنالیز شبکه اجتماعی
کلمات کلیدی انگلیسی Emergency information, Disaster communication, Social media, Disaster response, Social network analysis
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ijinfomgt.2017.08.003
کد محصول E11862
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Outline
Highlights
Abstract
Keywords
۱٫ Introduction
۲٫ Literature review
۳٫ Research objectives
۴٫ Louisiana flood and social media
۵٫ Data collection and pre-processing
۶٫ Results
۷٫ Conclusion
۸٫ Discussion
Acknowledgement
References

بخشی از متن مقاله:

Abstract

Social media, such as Twitter and Facebook, plays a critical role in disaster management by propagating emergency information to a disaster-affected community. It ranks as the fourth most popular source for accessing emergency information. Many studies have explored social media data to understand the networks and extract critical information to develop a pre- and post-disaster mitigation plan.

The 2016 flood in Louisiana damaged more than 60,000 homes and was the worst U.S. disaster after Hurricane Sandy in 2012. Parishes in Louisiana actively used their social media to share information with the disaster-affected community − e.g., flood inundation map, locations of emergency shelters, medical services, and debris removal operation. This study applies social network analysis to convert emergency social network data into knowledge. We explore patterns created by the aggregated interactions of online users on Facebook during disaster responses. It provides insights to understand the critical role of social media use for emergency information propagation. The study results show social networks consist of three entities: individuals, emergency agencies, and organizations. The core of a social network consists of numerous individuals. They are actively engaged to share information, communicate with the city of Baton Rouge, and update information. Emergency agencies and organizations are on the periphery of the social network, connecting a community with other communities. The results of this study will help emergency agencies develop their social media operation strategies for a disaster mitigation plan.

Introduction

Social media, such as Twitter and Facebook, plays a critical role in disaster management. It is ranked as the fourth most popular source for accessing emergency information (Lindsay, 2011). Mickoleit (2014) identified that government institutions are using platforms such as Twitter, Facebook, and blogs to communicate with their communities. Twitter accounts have been created in 24 out of 34 OECD member countries, which can be compared to 21 out of 34 for Facebook. Many studies have explored the systematic use of social media during emergency responses by extracting social media data to identify needs of a disaster-affected community (Imran, Elbassuoni, Castillo, Diaz, & Meier, 2013; Yin et al., 2015). For example, social media data was used to develop a GIS-based real-time map during 2012 Hurricane Sandy in NYC. It shared emergency information and community needs with emergency agencies and NGOs (Middleton, Middleton, & Modafferi, 2014). Furthermore, real-time data from social media has been used to develop an early warning system for a tornado (Knox et al., 2013; Tyshchuk, Hui, Grabowski, & Wallace, 2011). Social media is used to communicate emergency information and urgent requests between emergency agencies and disaster-affected people (Feldman et al., 2016; Lindsay, 2011). These approaches support emergency agencies in understanding emerging situations rapidly after a disaster.

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