Identifying Virtual Relations among Businesses Exploring User Reaction on Facebook

Tsutsumi, Diego P.; Silva, Thiago H.

doi:10.1109/wi.2018.0-102

Cited by 2 publications

(3 citation statements)

References 19 publications

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“…The proposed model was tested using Facebook data in the city of Curitiba -Brazil, from November to December of 2017 [16,17] . A total of 1,986 georeferenced pages and approximately 280 million user reactions related to those pages were collected.…”

Section: Resultsmentioning

confidence: 99%

“…Also, the edge most weighted was found between these two nodes ("Prefeitura de Curitiba" and "RPC"), with a value of 127958. After some data cleaning/filtering procedures [17,18] and running Algorithm 1 with the parameters considered, 144 communities were detected, each ranging from 4 to 30 businesses all located in the city of Curitiba. An example of these communities is illustrated in Figure 2, which containing entertainment businesses (e.g., "Blood Rock Bar", and "SSCWB -Shinobi Spirit") and food businesses (e.g., "Ca'dore Comida Descomplicada"), so we can notice they are businesses inside the "leisure" context.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Business Relationship Network Model from Social Reactions Data

Tsutsumi

Silva

2020

Anais Estendidos Do XXVI Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia 2020)

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One of the primary ways to expand a business or to keep it stable during a crisis is to create partnerships with other companies. With that, this study presents results regarding a new data model, which explores user reactions on social media to indicate strategic business partnerships. Th ere are three main contributions of this study to the literature: (i) a business relationship network model; (ii) a business community detection algorithm; and (iii) a business outlier detection algorithm. The evaluation of the contributions was performed exploring real data of approximately 280 million user reactions on Facebook. Results suggest that business partnership recommendation is possible using the information available in social media.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Business Relationship Network Model from Social Reactions Data

Tsutsumi

Silva

2020

Anais Estendidos Do XXVI Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia 2020)

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show abstract

“…By exploring these reactions on Facebook page, e-commerce business companies can establish a virtual relationship [17] with Facebook users. This virtual relationship can contribute in sales improvement, brand building and focus on implement in other areas.…”

Section: Reactions On Page Postmentioning

confidence: 99%

Integration of Online Social Network and E-Commerce Business through Facebook Pages

Balvinder

Dua²

2018

J. Today’s Ideas - Tomorrow’s Technol.

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The aim of this paper is to explore Facebook page options through which e-commerce companies can establish relationship with online social networking users. It explores the various options available on Facebook page like audience building, data analysis, paid promotions etc. Techniques for organic and paid promotion discussed to build the page audience. Comprehensive study on data insights provided by Facebook is tabulated. This paper highlights the factors for integration of Online Social Network and e-commerce to help ecommerce companies to focus on building audience and converting them into sale. A step by step implemen-tation starting from page setup, audience building and data analy-sis is presented.

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Identifying Virtual Relations among Businesses Exploring User Reaction on Facebook

Cited by 2 publications

References 19 publications

Business Relationship Network Model from Social Reactions Data

Business Relationship Network Model from Social Reactions Data

Integration of Online Social Network and E-Commerce Business through Facebook Pages

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