Pub Date : 2020-10-30DOI: 10.1504/ijwbc.2020.10028448
Rachmah Ida, M. Saud, N. S. Musta, in Mashud
In recent years, the emergence of social media has encouraged and influenced our youth to participate in political matters. The current study was conducted in Indonesia and Pakistan. The objective of the study was to analyse the persistence of social media and youth political participation in democratic activities. The study opted quantitative research design through an offline and online survey to obtain data from 400 individuals (falling in age group 18th to 29th), having political experience and knowledge of participation. The data gathered through structured questionnaires using scales to compile the results, and data was carried out through Excel and SPSS software. The results show that social media is a persuasive medium in providing platform to youth to participate in political activism. Youth healthy engagement in such activities plays a significant role in the political structure of states. It was also observed that youth participation is essential for prosperity and growth of nation. The study suggests that the Government of Indonesia and Pakistan have a good opportunity to socialise youths through online spheres.
{"title":"Persistence of Social Media on Political Activism and Engagement among Indonesian & Pakistani youths","authors":"Rachmah Ida, M. Saud, N. S. Musta, in Mashud","doi":"10.1504/ijwbc.2020.10028448","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10028448","url":null,"abstract":"In recent years, the emergence of social media has encouraged and influenced our youth to participate in political matters. The current study was conducted in Indonesia and Pakistan. The objective of the study was to analyse the persistence of social media and youth political participation in democratic activities. The study opted quantitative research design through an offline and online survey to obtain data from 400 individuals (falling in age group 18th to 29th), having political experience and knowledge of participation. The data gathered through structured questionnaires using scales to compile the results, and data was carried out through Excel and SPSS software. The results show that social media is a persuasive medium in providing platform to youth to participate in political activism. Youth healthy engagement in such activities plays a significant role in the political structure of states. It was also observed that youth participation is essential for prosperity and growth of nation. The study suggests that the Government of Indonesia and Pakistan have a good opportunity to socialise youths through online spheres.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46443808","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}
Pub Date : 2020-07-10DOI: 10.1504/ijwbc.2020.10029913
J. Pak, Hyang-Sook Kim, E. S. Rhee
Online health communities (OHCs) have become a major source of sharing knowledge and social support for people with health concerns. The present paper aimed to extend the previous understanding of community dynamics of two types of members, contributors and lurkers, in OHCs for postpartum depression (PPD). Multi-level analyses were conducted to identify subgroup formation and different roles of members and their interaction patterns within subgroups. Specifically, social structural behaviours in OHCs on Facebook were analysed at both network and node levels in addition to members' sentiment and linguistic behaviours which were analysed in light of members' roles and structural behaviours. Results suggest that structural as well as sentiment and linguistic behaviours of members in OHCs for PPD varied across different groups and roles. While contributors tended to be highly influential as information/support givers, lurkers still formed subgroups to seek for support and information. These findings not only articulated the underlying mechanism of community networks and subgroup formation in OHCs for PPD, but also shed light on ways of facilitating prosperity and sustainability of OHCs.
{"title":"Characterizing Social Structural and Linguistic Behaviors of Subgroup Interactions: A Case of Online Health Communities for Postpartum Depression on Facebook","authors":"J. Pak, Hyang-Sook Kim, E. S. Rhee","doi":"10.1504/ijwbc.2020.10029913","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10029913","url":null,"abstract":"Online health communities (OHCs) have become a major source of sharing knowledge and social support for people with health concerns. The present paper aimed to extend the previous understanding of community dynamics of two types of members, contributors and lurkers, in OHCs for postpartum depression (PPD). Multi-level analyses were conducted to identify subgroup formation and different roles of members and their interaction patterns within subgroups. Specifically, social structural behaviours in OHCs on Facebook were analysed at both network and node levels in addition to members' sentiment and linguistic behaviours which were analysed in light of members' roles and structural behaviours. Results suggest that structural as well as sentiment and linguistic behaviours of members in OHCs for PPD varied across different groups and roles. While contributors tended to be highly influential as information/support givers, lurkers still formed subgroups to seek for support and information. These findings not only articulated the underlying mechanism of community networks and subgroup formation in OHCs for PPD, but also shed light on ways of facilitating prosperity and sustainability of OHCs.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42528846","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}
Pub Date : 2020-07-10DOI: 10.1504/ijwbc.2020.10029915
Datis Khajeheian, Shaghayegh Kolli
This article reports a social network analysis of how Pokemon Go, a social augmented reality mobile game, has been reflected and represented on twitter. With more than 500 million downloads, this game becomes one of the most popular augmented reality games ever played and based on the social nature of this game. It was a question that what are the characteristics of sharing of #pokemongo on twitter? This research conducted a social network analysis on the twitter platform by analysing the #pokemongo. Results show that this game promoted the social relationship of users and increased the conversation among the players. It also concluded that the social behaviour of users promoted and they acted more social, explored their surroundings more motivating and made their routines more meaningful.
{"title":"DIGITAL GAMES GET VIRAL ON SOCIAL MEDIA: A SOCIAL NETWORK ANALYSIS OF POKEMON GO ON TWITTER","authors":"Datis Khajeheian, Shaghayegh Kolli","doi":"10.1504/ijwbc.2020.10029915","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10029915","url":null,"abstract":"This article reports a social network analysis of how Pokemon Go, a social augmented reality mobile game, has been reflected and represented on twitter. With more than 500 million downloads, this game becomes one of the most popular augmented reality games ever played and based on the social nature of this game. It was a question that what are the characteristics of sharing of #pokemongo on twitter? This research conducted a social network analysis on the twitter platform by analysing the #pokemongo. Results show that this game promoted the social relationship of users and increased the conversation among the players. It also concluded that the social behaviour of users promoted and they acted more social, explored their surroundings more motivating and made their routines more meaningful.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44990313","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}
Pub Date : 2020-04-29DOI: 10.1504/ijwbc.2020.10028247
Hongfei Xiao, Suting Zhou, Min Zhao
Mining microblog data based on complex networks is conducive to the effective mining of useful information. This paper focuses on community mining. A complex network is introduced, followed by a community mining algorithm based on user similarity. Based on the similarity, different communities were divided, and experiments were carried out with real datasets. The experimental results showed that the accuracy of the algorithm was 87.5%, the recall rate was 87.1% and the operation time was 2.1 s. In the result of dataset 2, the average modularity of the designed algorithm was 0.532, which was better than the Girvan and Newman (GN) algorithm and there was no weak community structure, showing that the algorithm had better performance in community mining. The experimental results demonstrate the reliability of the mining algorithm and clarify the contributions of data mining for detecting communities from a microblog network.
基于复杂网络的微博数据挖掘有利于有效挖掘有用信息。本文的研究重点是社区采矿。首先介绍了复杂网络，然后提出了一种基于用户相似度的社区挖掘算法。基于相似度划分不同群落，利用真实数据集进行实验。实验结果表明，该算法的准确率为87.5%，查全率为87.1%，操作时间为2.1 s。在数据集2的结果中，所设计算法的平均模块化度为0.532，优于Girvan and Newman (GN)算法，且不存在弱社团结构，表明该算法在社团挖掘方面具有更好的性能。实验结果证明了挖掘算法的可靠性，并阐明了数据挖掘对微博网络社区检测的贡献。
{"title":"Data Analysis Algorithms for Mining Online Communities from Microblogs.","authors":"Hongfei Xiao, Suting Zhou, Min Zhao","doi":"10.1504/ijwbc.2020.10028247","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10028247","url":null,"abstract":"Mining microblog data based on complex networks is conducive to the effective mining of useful information. This paper focuses on community mining. A complex network is introduced, followed by a community mining algorithm based on user similarity. Based on the similarity, different communities were divided, and experiments were carried out with real datasets. The experimental results showed that the accuracy of the algorithm was 87.5%, the recall rate was 87.1% and the operation time was 2.1 s. In the result of dataset 2, the average modularity of the designed algorithm was 0.532, which was better than the Girvan and Newman (GN) algorithm and there was no weak community structure, showing that the algorithm had better performance in community mining. The experimental results demonstrate the reliability of the mining algorithm and clarify the contributions of data mining for detecting communities from a microblog network.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47690975","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}
Pub Date : 2020-02-07DOI: 10.1504/ijwbc.2020.10024150
R. Yadav, Shashi Prakash Tripathi, A. K. Rai, R. Tewari
Link prediction is an effective technique to be applied on graph-based models due to its wide range of applications. It helps to understand associations between nodes in social communities. The social networking systems use link prediction techniques to recommend new friends to their users. In this paper, we design two time efficient algorithms for finding all paths of length-2 and length-3 between every pair of vertices in a network which are further used in computation of final similarity scores in the proposed method. Further, we define a hybrid feature-based node similarity measure for link prediction that captures both local and global graph features. The designed similarity measure provides friend recommendations by traversing only paths of limited length, which causes more faster and accurate friend recommendations. Experimental results show adequate level of accuracy in friend recommendations within considerable computing time.
{"title":"Hybrid Feature Based Approach for Recommending Friends in Social Networking Systems","authors":"R. Yadav, Shashi Prakash Tripathi, A. K. Rai, R. Tewari","doi":"10.1504/ijwbc.2020.10024150","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10024150","url":null,"abstract":"Link prediction is an effective technique to be applied on graph-based models due to its wide range of applications. It helps to understand associations between nodes in social communities. The social networking systems use link prediction techniques to recommend new friends to their users. In this paper, we design two time efficient algorithms for finding all paths of length-2 and length-3 between every pair of vertices in a network which are further used in computation of final similarity scores in the proposed method. Further, we define a hybrid feature-based node similarity measure for link prediction that captures both local and global graph features. The designed similarity measure provides friend recommendations by traversing only paths of limited length, which causes more faster and accurate friend recommendations. Experimental results show adequate level of accuracy in friend recommendations within considerable computing time.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46127890","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}
Pub Date : 2020-01-01DOI: 10.1504/ijwbc.2020.10025833
Bushra K. Mahadin, Hani Bata, Mamoun N. Akroush
{"title":"The Effects of Tourism Websites' Attributes on e-Satisfaction and e-Loyalty: A case of American Travelers to Jordan","authors":"Bushra K. Mahadin, Hani Bata, Mamoun N. Akroush","doi":"10.1504/ijwbc.2020.10025833","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10025833","url":null,"abstract":"","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66703560","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}
Pub Date : 2020-01-01DOI: 10.1504/ijwbc.2020.10029916
Iván Fernando Rodrigo Mendizábal, Daniel Fernando López Jiménez, Amaia Arribas Urrutia
{"title":"Youth Internet Consumption in Ecuador: Indicators of the National Digital Generation","authors":"Iván Fernando Rodrigo Mendizábal, Daniel Fernando López Jiménez, Amaia Arribas Urrutia","doi":"10.1504/ijwbc.2020.10029916","DOIUrl":"https://doi.org/10.1504/ijwbc.2020.10029916","url":null,"abstract":"","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66703610","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}
Pub Date : 2019-10-10DOI: 10.1504/ijwbc.2019.10023489
Adam Westerski, R. Kanagasabai
The key challenge for data science in open innovation web systems is to find best ideas among thousands of community submissions. To date, this has been done with metrics reflecting enterprise needs or community preferences. This article proposes to look in a different direction: inspired by theoretical studies on disruptive innovation, we frame the problem of valuable ideas as those rarely taken up by masses or organisations yet having potential to change industries. Our aim is to find technological means for automatic detection of such innovations to aid decision making. Following past findings from business sciences on nature of disruptive innovations, the article presents a comparative study of multiple outlier detection algorithms applied to two real-world datasets containing textual descriptions of ideas for different industries. Obtained results demonstrate capability of outlier detection and show k-NN algorithm with TF-IDF and cosine distance to be the best candidate for the task.
{"title":"In Search of Disruptive Ideas - Outlier Detection Techniques in Crowdsourcing Innovation Platforms","authors":"Adam Westerski, R. Kanagasabai","doi":"10.1504/ijwbc.2019.10023489","DOIUrl":"https://doi.org/10.1504/ijwbc.2019.10023489","url":null,"abstract":"The key challenge for data science in open innovation web systems is to find best ideas among thousands of community submissions. To date, this has been done with metrics reflecting enterprise needs or community preferences. This article proposes to look in a different direction: inspired by theoretical studies on disruptive innovation, we frame the problem of valuable ideas as those rarely taken up by masses or organisations yet having potential to change industries. Our aim is to find technological means for automatic detection of such innovations to aid decision making. Following past findings from business sciences on nature of disruptive innovations, the article presents a comparative study of multiple outlier detection algorithms applied to two real-world datasets containing textual descriptions of ideas for different industries. Obtained results demonstrate capability of outlier detection and show k-NN algorithm with TF-IDF and cosine distance to be the best candidate for the task.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43411345","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}
Pub Date : 2019-10-10DOI: 10.1504/IJWBC.2019.10022389
Z. Ramadan, M. Farah, Shireen Daouk
In the era of exponential growth of online shopping, e-commerce has accelerated consumers' shift from offline to online shopping, specifically in the FMCG industry. In 2015, Amazon launched the Amazon Prime Now service based on same-day delivery. The research objective is to understand the implications of this ordering tool on the consumer journey from the shopper web-based community, the retailer and brand perspectives. In order to investigate the usage of Amazon Prime Now and its impact on the overall consumer journey, a survey was devised and completed by 25 Prime users who reside in the UK. The findings show that clients' gratification is due to the outstanding customer service Amazon offers, which as a result established a trust and love relationship with the retailer. Moreover, the findings show that while the minimum order fees have reduced shoppers' impulsive behaviour in web-based communities, an overall addiction toward the use of Amazon Prime Now was taking place.
{"title":"The effect of e-retailers innovations on shoppers impulsiveness and addiction in web-based communities: The case of Amazons Prime Now","authors":"Z. Ramadan, M. Farah, Shireen Daouk","doi":"10.1504/IJWBC.2019.10022389","DOIUrl":"https://doi.org/10.1504/IJWBC.2019.10022389","url":null,"abstract":"In the era of exponential growth of online shopping, e-commerce has accelerated consumers' shift from offline to online shopping, specifically in the FMCG industry. In 2015, Amazon launched the Amazon Prime Now service based on same-day delivery. The research objective is to understand the implications of this ordering tool on the consumer journey from the shopper web-based community, the retailer and brand perspectives. In order to investigate the usage of Amazon Prime Now and its impact on the overall consumer journey, a survey was devised and completed by 25 Prime users who reside in the UK. The findings show that clients' gratification is due to the outstanding customer service Amazon offers, which as a result established a trust and love relationship with the retailer. Moreover, the findings show that while the minimum order fees have reduced shoppers' impulsive behaviour in web-based communities, an overall addiction toward the use of Amazon Prime Now was taking place.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44246859","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}
Pub Date : 2019-08-15DOI: 10.1504/IJWBC.2019.10023009
A. Quadir, V. Vijayakumar
Trust assessment in cloud depends on QoS attributes. While evaluating the trustworthiness of the CSPs, traditional methods of trust assessment do not take into account QoS attributes that keep changing dynamically. To address the issue of determining the trustworthiness of CSPs in web, rating based dynamic discovery (RBDD) of QoS attributes that keeps changing periodically and multi-layer ranking (MLR) algorithm that ranks the discovered CSPs in an efficient manner have been proposed. This approach allows us to evaluate CSPs trustworthiness from cloud auditors perception. evaluation results indicates that the RBDD is capable of sensing behavioural changes in CSPs and discovers the dynamic trustworthy service providers and MLR algorithm ranks them based on CC requirements with high accuracy and minimal time complexity compared to other approaches. The proposed system has been validated with synthetic dataset owing to absence of standardisation.
{"title":"Dynamic ranking of cloud services for web based cloud communities: Efficient algorithm for rating based discovery and multi-level ranking of cloud services","authors":"A. Quadir, V. Vijayakumar","doi":"10.1504/IJWBC.2019.10023009","DOIUrl":"https://doi.org/10.1504/IJWBC.2019.10023009","url":null,"abstract":"Trust assessment in cloud depends on QoS attributes. While evaluating the trustworthiness of the CSPs, traditional methods of trust assessment do not take into account QoS attributes that keep changing dynamically. To address the issue of determining the trustworthiness of CSPs in web, rating based dynamic discovery (RBDD) of QoS attributes that keeps changing periodically and multi-layer ranking (MLR) algorithm that ranks the discovered CSPs in an efficient manner have been proposed. This approach allows us to evaluate CSPs trustworthiness from cloud auditors perception. evaluation results indicates that the RBDD is capable of sensing behavioural changes in CSPs and discovers the dynamic trustworthy service providers and MLR algorithm ranks them based on CC requirements with high accuracy and minimal time complexity compared to other approaches. The proposed system has been validated with synthetic dataset owing to absence of standardisation.","PeriodicalId":39041,"journal":{"name":"International Journal of Web Based Communities","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43436626","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}
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