社交网络(英文)最新文献

{"title":"“If We Only Knew How You Feel”—A Comparative Study of Automated vs. Manual Classification of Opinions of Customers on Digital Media","authors":"Huoston Rodrigues Batista, José Carmino Gomes Junior, M. D. Miranda, Andréa Martiniano, R. Sassi, M. Gaspar","doi":"10.4236/SN.2019.81005","DOIUrl":"https://doi.org/10.4236/SN.2019.81005","url":null,"abstract":"The Web development has drastically changed the human interaction and communication, leading to an exponential growth of data generated by users in various digital media. This mass of data provides opportunities for understanding people’s opinions about products, services, processes, events, political movements, and organizational strategies. In this context, it becomes important for companies to be able to assess customer satisfaction about their products or services. One of the ways to evaluate customer sentiment is the use of Sentiment Analysis, also known as Opinion Mining. This research aims to compare the efficiency of an automatic classifier based on dictionary with the classification by human jurors in a set of comments made by customers in Portuguese language. The data consist of opinions of service users of one of the largest Brazilian online employment agencies. The performance evaluation of the classification models was done using Kappa index and a Confusion Matrix. As the main finding, it is noteworthy that the agreement between the classifier and the human jurors came to moderate, with better performance for the dictionary-based classifier. This result was considered satisfactory, considering that the Sentiment Analysis in Portuguese language is a complex task and demands more research and development.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78664839","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":"Consumer’s Purchase Intention towards Luxury Retailer’s Social Media Advertisements —A Case Study of a Shoe Retail—UAE-Dubai Mall","authors":"Eman Reda Sabri","doi":"10.4236/SN.2019.81003","DOIUrl":"https://doi.org/10.4236/SN.2019.81003","url":null,"abstract":"Digital marketing is considered the preferred method comparing to traditional marketing nowadays [1], but is it true for luxury and expensive products? Since the perception prevails that the concepts “luxury” and “digital” are quite incompatible [2], this paper aims to explore the effectiveness of digital marketing advertisements of luxury retailers, while also exploring consumer’s purchasing intent based on the viewing of such promotions. The overall goal is to provide a model of luxury purchase behaviour through harnessing social media. As a constructionist ontology-based researcher, I believe in multiple versions of reality which can evolve based on my target consumer experiences [3]. My epistemological stance is interpretivism with a subjective approach, inductively interacting with consumers to better understand what this “truth” means to them, incorporating textual material to support the analytical interpretations [4]. It is hoped this paper will inform fashion brands marketers about social media practice to achieve creation of purchase intention and ultimately achieve target sales. The paper is useful to both practitioners and academics in the fields of social media marketing and purchase intention. The research provides some initial insights into consumer perspectives of social media ads and online purchase behaviour.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89293684","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":"Social Networks, Politics and Public Views: An Analysis of the Term “Macedonia” in Twitter","authors":"Dimitrios Kydros, Vasiliki G. Vrana, E. Kehris","doi":"10.4236/SN.2019.81001","DOIUrl":"https://doi.org/10.4236/SN.2019.81001","url":null,"abstract":"In this paper we deal with Twitter and the presence of the keyword “Macedonia” in tweets over a period of time. We searched for the same term in three different languages, i.e. “Μακeδονiα”, “Macedonia” and “Македонска - Македониjа”, since we are primarily interested in views from Greece and FYROM without excluding views from other regions. We use methods from Social Network Analysis (SNA) in order to create networks of users, calculate some main network metrics, measure user importance and investigate the presence of possible fragmentations—communities among them. We furthermore proceed to a form of content analysis, using pairs of words within tweets, in order to obtain main ideas, trends and public views that circulated over the network.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76932768","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":"You Don’t Know Me But Can I Be Your Friend? Accepting Strangers as Friends in Facebook","authors":"Serena Leow","doi":"10.4236/SN.2019.81004","DOIUrl":"https://doi.org/10.4236/SN.2019.81004","url":null,"abstract":"Users in social networking sites, such as Facebook, are increasingly receiving friend requests from strangers. This study examines the effects of the Big Five personality traits (Neurotics vs. Extroversion vs. Openness vs. Conscientiousness vs. Agreeableness) and strangers’ gender in affecting Facebook users’ decisions to accept (or ignore) the stranger’s friend request. Results showed that gender of the stranger and the personality match between participant and stranger jointly affect the decision to accept the stranger as friend on Facebook. Most of the participants accepted the stranger’s friend request based on textual cues that were displayed in the friend request message. This finding supported Social Information Processing theory, suggesting that impression formation of the stranger was not constrained to the lack of nonverbal cues online. Moreover, participants were more likely to accept the stranger’s friend request when the participant’s and stranger’s personalities matched. This effect was more pronounced when the stranger was a female. Participants accepted female stranger’s friend request due to the inflated perception of stereotypical female characteristics, which supports the Hyperpersonal Perspective.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79499693","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":"Let’s Be Friends: National Homophily in Multicultural Newcomer Student Networks","authors":"Kishore Pillai, Constantinos N. Leonidou, X. Bian","doi":"10.4236/SN.2019.81002","DOIUrl":"https://doi.org/10.4236/SN.2019.81002","url":null,"abstract":"Understanding the relational and network dynamics among newcomer networks is important to devising appropriate strategies that will maximize the productivity of the incoming workforce. Nevertheless, there are limited empirical contributions on newcomer networks with few studies examining newcomer networks in international environments. This study focuses on national homophily and examines whether ethnic identity salience, self-efficacy, individualism and ethnocentrism are associated with the occurrence of national homophily in newcomers networks. Using a multicultural student sample drawn from newly formed networks, the study found that ethnic identity salience and academic self-efficacy are associated with national homophily positively and negatively, respectively. Individualism is not found to be related to homophily while, contrary to our hypothesis, ethnocentrism is found to be negatively related to homophily. Through its examination of the effect of attitudinal variables on homophily, this study contributes to the broader literature on homophily and provides implications for managers and researchers.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87986798","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":"Bibliometry-Aware and Domain-Specific Features for Discovering Publication Hierarchically-Ordered Contexts and Scholarly-Communication Structures","authors":"S. Bani-Ahmad","doi":"10.4236/SN.2017.61005","DOIUrl":"https://doi.org/10.4236/SN.2017.61005","url":null,"abstract":"Discovering publication hierarchically-ordered contexts is the main task in context-based searching paradigm. The proposed techniques to discover publication contexts relies on the availability of domain-specific inputs, namely a pre-specified ontology terms. A problem with this technique is that the needed domain-specific inputs may not be available in some scientific disciplines. In this paper, we propose utilizing a powerful input that is naturally available in any scientific discipline to discover the hierarchically-ordered contexts of it, namely paper citation and co-authorship graphs. More specifically, we propose a set of domain-specific bibliometry-aware features that are automatically computable instead of domain-specific inputs that need experts’ efforts to prepare. Another benefit behind considering bibliometric-features to adapt to the special characteristics of the literature environment being targeted, which in turn facilitates contexts membership decision making. One key advantage of our proposal is that it considers temporal changes of the targeted publication set.","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"11 1","pages":"61-79"},"PeriodicalIF":0.0,"publicationDate":"2017-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75358781","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":"Methods for measuring diffusion of a social media-based health intervention.","authors":"Sean D Young,&nbsp;Thomas R Belin,&nbsp;Jeffrey D Klausner,&nbsp;Thomas W Valente","doi":"10.4236/sn.2015.42005","DOIUrl":"https://doi.org/10.4236/sn.2015.42005","url":null,"abstract":"<p><p>This study evaluated the feasibility of measuring diffusion from a social networking community-level intervention. One year after completion of a randomized controlled HIV prevention trial on Facebook, 112 minority men who have sex with men (MSM) were asked to refer African-American and/or Latino sex partners to complete a survey. Results suggest that, compared to non-referrers, referrers spent more time online, controlling for age, race, education, and condition. Over 60% of referrals reported hearing about the intervention, and over half reported that the referrer talked to them about changing health behaviors. Results provide support and initial feasibility of using social networking for diffusing community-based HIV interventions.</p>","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"4 2","pages":"41-46"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4479395/pdf/nihms687047.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33427208","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}

{"title":"Estimating Vertex Measures in Social Networks by Sampling Completions of RDS Trees.","authors":"Bilal Khan,&nbsp;Kirk Dombrowski,&nbsp;Ric Curtis,&nbsp;Travis Wendel","doi":"10.4236/sn.2015.41001","DOIUrl":"https://doi.org/10.4236/sn.2015.41001","url":null,"abstract":"<p><p>This paper presents a new method for obtaining network properties from incomplete data sets. Problems associated with missing data represent well-known stumbling blocks in Social Network Analysis. The method of \"estimating connectivity from spanning tree completions\" (ECSTC) is specifically designed to address situations where only spanning tree(s) of a network are known, such as those obtained through respondent driven sampling (RDS). Using repeated random completions derived from degree information, this method forgoes the usual step of trying to obtain final edge or vertex rosters, and instead aims to estimate network-centric properties of vertices probabilistically from the spanning trees themselves. In this paper, we discuss the problem of missing data and describe the protocols of our completion method, and finally the results of an experiment where ECSTC was used to estimate graph dependent vertex properties from spanning trees sampled from a graph whose characteristics were known ahead of time. The results show that ECSTC methods hold more promise for obtaining network-centric properties of individuals from a limited set of data than researchers may have previously assumed. Such an approach represents a break with past strategies of working with missing data which have mainly sought means to complete the graph, rather than ECSTC's approach, which is to estimate network properties themselves without deciding on the final edge set.</p>","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"4 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33188267","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}

{"title":"Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data.","authors":"Hongjie Liu,&nbsp;Jianhua Li,&nbsp;Toan Ha,&nbsp;Jian Li","doi":"10.4236/sn.2012.12002","DOIUrl":"https://doi.org/10.4236/sn.2012.12002","url":null,"abstract":"<p><strong>Background: </strong>One of the key assumptions in respondent-driven sampling (RDS) analysis, called \"random selection assumption,\" is that respondents randomly recruit their peers from their personal networks. The objective of this study was to verify this assumption in the empirical data of egocentric networks.</p><p><strong>Methods: </strong>We conducted an egocentric network study among young drug users in China, in which RDS was used to recruit this hard-to-reach population. If the random recruitment assumption holds, the RDS-estimated population proportions should be similar to the actual population proportions. Following this logic, we first calculated the population proportions of five visible variables (gender, age, education, marital status, and drug use mode) among the total drug-use alters from which the RDS sample was drawn, and then estimated the RDS-adjusted population proportions and their 95% confidence intervals in the RDS sample. Theoretically, if the random recruitment assumption holds, the 95% confidence intervals estimated in the RDS sample should include the population proportions calculated in the total drug-use alters.</p><p><strong>Results: </strong>The evaluation of the RDS sample indicated its success in reaching the convergence of RDS compositions and including a broad cross-section of the hidden population. Findings demonstrate that the random selection assumption holds for three group traits, but not for two others. Specifically, egos randomly recruited subjects in different age groups, marital status, or drug use modes from their network alters, but not in gender and education levels.</p><p><strong>Conclusions: </strong>This study demonstrates the occurrence of non-random recruitment, indicating that the recruitment of subjects in this RDS study was not completely at random. Future studies are needed to assess the extent to which the population proportion estimates can be biased when the violation of the assumption occurs in some group traits in RDS samples.</p>","PeriodicalId":57107,"journal":{"name":"社交网络(英文)","volume":"1 2","pages":"13-21"},"PeriodicalIF":0.0,"publicationDate":"2012-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3639432/pdf/nihms418483.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31404397","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}