SentiFlow: An Information Diffusion Process Discovery Based on Topic and Sentiment from Online Social Networks

Carrera, Berny; Jung, Jae‐Yoon

doi:10.3390/su10082731

Cited by 10 publications

(15 citation statements)

References 28 publications

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“…Comments have an important impact in social influence, and information diffusion in relation to users and society. Moreover, the raw and strong content along with the participation of the users via likes, shares, and similar interactions can influence the SEO metrics and improve the popularity of a website [25][26][27]32].…”

Section: Discussionmentioning

confidence: 99%

“…However, it has been proven on Facebook that there exist similar connections between offline and online political participation [24].A form of social influence and information diffusion are the comments that appear on websites and social media platforms. Studies have proved that comments can have a significant impact on society and alter even beliefs or opinions [25][26][27] and also play an essential role as a search engine optimization (SEO) practice. SEO practice affects the prominence of specific websites, which are gaining more visibility if they have some unique techniques or characteristics, such as allowing comments on their websites [28][29][30][31].…”

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confidence: 99%

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SEO Practices: A Study about the Way News Websites Allow the Users to Comment on Their News Articles

et al. 2019

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In the current media world, there is a huge debate about the importance of the visibility of a news website in order to secure its existence. Thus, search engine optimization (SEO) practices have emerged in the news media systems around the world. This study aimed to expand the current literature about the SEO practices by focusing on examining, via the walkthrough method, the ways that news companies allow the users to comment on their online news articles. The comments on the news websites are related to the notions of social influence, information diffusion, and play an essential role as a SEO practice, for instance, by providing content and engagement. The examined sample was collected by the most visited news websites' rankings of alexa.com for a global scale and for the countries Greece and Cyprus. The findings reveal that the news websites throughout the globe use similar features and ways to support the comments of the users. In the meantime, though, a high number of the news websites did not allow the users to use their social media accounts in order to comment the provided news articles, or provided multiple comment platforms. This trend goes against the SEO practices. It is believed that this finding is associated with the difficulty of the news organizations to regulate and protect themselves by the users' comments that promote, in some case harmful rhetoric and polarization.Future Internet 2019, 11, 188 2 of 13 behavior. In the meantime, social influence is related to information diffusion. Many studies in the field have revealed the connections between the social influence and the information diffusion [10][11][12][13][14]. Information diffusion and social influence have become of great importance due to the daily use of social media platforms and the operation of search engines.Additionally, previous studies of social media platforms, such as YouTube, have demonstrated that users with similar cultural and political ideas tend to like or dislike the same cultural products [15]. For instance, Japan was one of the most characteristic examples of a country that became successful in the spread of its culture on a global scale. The anime and the manga cultural products have turned into global products. According to Otmazgin [16], this development allows Japan to have a greater influence on different state and non-state actors throughout the world. The aforementioned description regarding the influence of a country has led Nye [17] to create the theory of "soft power." According to him, "soft power" is the capability of causing individuals to adopt beliefs, results, opinions, etc., without getting paid. For a country, its "soft power" can be its policies and culture.Nowadays, social influence and information diffusion are strongly linked with the World Wide Web, social media platforms, and social participation. For more than twenty years, scholars have tried to explain the role of the new technologies in the participation of the public in crucial events, such as demonstrations and collective actions [18]....

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

SEO Practices: A Study about the Way News Websites Allow the Users to Comment on Their News Articles

et al. 2019

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“…Their framework consists of a novel data collection, filtering and sampling method, and a newly constructed multilingual sentiment detection algorithm for SM big data, tested in some EU countries over a six-year period. Carrera and Jung [46] applied on Facebook users the SentiFlow algorithm as a plug-in of the ProM platform to verify their proposed framework. ProM is an open source platform providing practical applications for process mining and supporting many kinds of process discovery algorithms.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Whilst some research has been carried out on the use of SA on SM [39,40] and [44][45][46], no studies have been identified that attempt to analyze the interactions with a company posts of users on six social networks. Further, very few studies extract user preferences on the two types of posts analyzed in this study (photos and videos), and which are used by companies to get in touch with its customers on their SM official channels.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences

Păvăloaia

Teodor²,

Fotache

et al. 2019

Sustainability

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Any brand’s presence on social networks has a significant impact on emotional reactions of its users to different types of posts on social media (SM). If a company understands the preferred types of posts (photo or video) of its customers, based on their reactions, it could make use of these preferences in designing its future communication strategy. The study examines how the use of SM technology and customer-centric management systems could contribute to sustainable business development of companies by means of social customer relationship management (sCRM). The two companies included in the study provide a general consumer good in the beverage industry. As such, it may be said that users interacting with the posts these companies make on their official channels are in fact customers or potential customers. The study aims to analyze customer reaction to two types of posts (photos or videos) on six social networks: Facebook, Twitter, Instagram, Pinterest, Google+ and Youtube. It brings evidence on the differences and similarities between the SM customer behaviors of two highly competitive brands in the beverage industry. Drawing on current literature on SM, sCRM and marketing, the output of this study is the conceptualization and measurement of a brand’s SM ability to understand customer preferences for different types of posts by using various statistical tools and the sentiment analysis (SA) technique applied to big sets of data.

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“…Martinčić-Ipšić et al [37] established two weighted similarity measures to analyze link prediction among co-occurrence language networks based on hashtags and all the words in tweets. Carrera [38] developed a probabilistic approach to discovering information diffusion among network communities based on an extended hidden Markov model (HMM).…”

Section: Introductionmentioning

confidence: 99%

Evolution of Conformity Dynamics in Complex Social Networks

Gong

2019

Symmetry

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Conformity is a common phenomenon among people in social networks. In this paper, we focus on customers’ conformity behaviors in a symmetry market where customers are located in a social network. We establish a conformity model and analyze it in ring network, random network, small-world network, and scale-free network. Our simulations shown that topology structure, network size, and initial market share have significant effects on the evolution of customers’ conformity behaviors. The market will likely converge to a monopoly state in small-world networks but will form a duopoly market in scale networks. As the size of the network increases, there is a greater possibility of forming a dominant group of preferences in small-world network, and the market will converge to the monopoly of the product which has the initial selector in the market. Also, network density will become gradually significant in small-world networks.

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SentiFlow: An Information Diffusion Process Discovery Based on Topic and Sentiment from Online Social Networks

Cited by 10 publications

References 28 publications

SEO Practices: A Study about the Way News Websites Allow the Users to Comment on Their News Articles

SEO Practices: A Study about the Way News Websites Allow the Users to Comment on Their News Articles

Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences

Evolution of Conformity Dynamics in Complex Social Networks

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