M. Kasri, Anas El-Ansari, Mohamed El Fissaoui, Badreddine Cherkaoui, Marouane Birjali, A. Beni-Hssane
{"title":"Correction: Public sentiment toward renewable energy in Morocco: opinion mining using a rule-based approach","authors":"M. Kasri, Anas El-Ansari, Mohamed El Fissaoui, Badreddine Cherkaoui, Marouane Birjali, A. Beni-Hssane","doi":"10.1007/s13278-023-01191-9","DOIUrl":"https://doi.org/10.1007/s13278-023-01191-9","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"30 1","pages":"1"},"PeriodicalIF":2.8,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139437461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matheus Schmitz, Goran Muric, Daniel Hickey, Keith Burghardt
{"title":"Do users adopt extremist beliefs from exposure to hate subreddits?","authors":"Matheus Schmitz, Goran Muric, Daniel Hickey, Keith Burghardt","doi":"10.1007/s13278-023-01184-8","DOIUrl":"https://doi.org/10.1007/s13278-023-01184-8","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"2 5","pages":"1-12"},"PeriodicalIF":2.8,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139438141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparing methods for creating a national random sample of twitter users.","authors":"Meysam Alizadeh, Darya Zare, Zeynab Samei, Mohammadamin Alizadeh, Mael Kubli, Mohammadhadi Aliahmadi, Sarvenaz Ebrahimi, Fabrizio Gilardi","doi":"10.1007/s13278-024-01327-5","DOIUrl":"10.1007/s13278-024-01327-5","url":null,"abstract":"<p><p>Twitter data has been widely used by researchers across various social and computer science disciplines. A common aim when working with Twitter data is the construction of a random sample of users from a given country. However, while several methods have been proposed in the literature, their comparative performance is mostly unexplored. In this paper, we implement four common methods to create a random sample of Twitter users in the US: <i>1% Stream</i>, <i>Bounding Box</i>, <i>Location Query</i>, and <i>Language Query</i>. Then, we compare these methods according to their tweet- and user-level metrics as well as their accuracy in estimating the US population. Our results show that users collected by the <i>1% Stream</i> method tend to have more tweets, tweets per day, followers, and friends, a fewer number of likes, are younger accounts, and include more male users compared to the other three methods. Moreover, it achieves the minimum error in estimating the US population. However, the <i>1% Stream</i> method is time-consuming, cannot be used for the past time frames, and is not suitable when user engagement is part of the study. In situation where these three drawbacks are important, our results support the <i>Bounding Box</i> method as the second-best method.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at. 10.1007/s13278-024-01327-5.</p>","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"14 1","pages":"160"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11861139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manussawee Nokkaew, K. Nongpong, Tapanan Yeophantong, Pattravadee Ploykitikoon, W. Arjharn, A. Siritaratiwat, Sorawit Narkglom, W. Wongsinlatam, T. Remsungnen, A. Namvong, C. Surawanitkun
{"title":"Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis","authors":"Manussawee Nokkaew, K. Nongpong, Tapanan Yeophantong, Pattravadee Ploykitikoon, W. Arjharn, A. Siritaratiwat, Sorawit Narkglom, W. Wongsinlatam, T. Remsungnen, A. Namvong, C. Surawanitkun","doi":"10.1007/s13278-023-01168-8","DOIUrl":"https://doi.org/10.1007/s13278-023-01168-8","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":" 5","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138994620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel and precise approach for similarity-based link prediction in diverse networks","authors":"Apurva Sharma, Ajay Kumar Yadav, A. K. Rai","doi":"10.1007/s13278-023-01160-2","DOIUrl":"https://doi.org/10.1007/s13278-023-01160-2","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"20 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138967188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Community detection in social networks by spectral embedding of typed graphs","authors":"M. Alfaqeeh, D. B. Skillicorn","doi":"10.1007/s13278-023-01172-y","DOIUrl":"https://doi.org/10.1007/s13278-023-01172-y","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"49 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shaping climate change discourse: the nexus between political media landscape and recommendation systems in social networks","authors":"Y. Sakieh","doi":"10.1007/s13278-023-01175-9","DOIUrl":"https://doi.org/10.1007/s13278-023-01175-9","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"214 3","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating historical information by disentangling hidden representations for mental health surveillance on social media","authors":"Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim","doi":"10.1007/s13278-023-01167-9","DOIUrl":"https://doi.org/10.1007/s13278-023-01167-9","url":null,"abstract":"","PeriodicalId":21842,"journal":{"name":"Social Network Analysis and Mining","volume":"6 15","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138584890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}