![]() ![]() “Network Analysis in the Social Sciences.” Science 323 (5916): 892–95.īroder, Andrei, Ravi Kumar, Farzin Maghoul, Prabhakar Raghavan, Sridhar Rajagopalan, Raymie Stata, Andrew Tomkins, and Janet Wiener. “Digital Business Strategy: Toward a next Generation of Insights.” MIS Quarterly, 471–82.īorgatti, Stephen P, Ajay Mehra, Daniel J Brass, and Giuseppe Labianca. “Network Science.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371 (1987): 20120375.īharadwaj, Anandhi, Omar A El Sawy, Paul A Pavlou, and N v Venkatraman. ![]() “Community Detection in Large-Scale Social Networks: State-of-the-Art and Future Directions.” Social Network Analysis and Mining 9 (1): 1–32.īarabási, Albert-László. IEEE.Īzaouzi, Mehdi, Delel Rhouma, and Lotfi ben Romdhane. “Trends on Health in Social Media: Analysis Using Twitter Topic Modeling.” In 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 558–63. ![]() “Research Trends on Big Data in Marketing: A Text Mining and Topic Modeling Based Literature Analysis.” European Research on Management and Business Economics 24 (1): 1–7.Īsghari, Mohsen, Daniel Sierra-Sosa, and Adel Elmaghraby. “The Impact of Social Media Adoption on Entrepreneurial Ecosystem.” Emerging Extended Reality Technologies for Industry 4: 63–79.Īmado, Alexandra, Paulo Cortez, Paulo Rita, and Sérgio Moro. “Investigating the Impact of Social Media Advertising Features on Customer Purchase Intention.” International Journal of Information Management 42: 65–77.Īlmotairy, Bodor, Manal Abdullah, and Rabeeh Abbasi. The article and any associated published material are distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Public allowed to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material) this journal article content.Īlalwan, Ali Abdallah.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.Author (s) hold copyrights and retain copyrights of articles if the article is accepted for publishing.This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.Īuthors who publish with this journal agree to the following terms: Further research is recommended to work more extensively with more representative data from multiple networks to analyze these topics in more depth. This paper contributes to digital marketing practitioners and social network analysis studies in related fields with a concise and duplicable methodology. The results are discussed by analyzing the main attributes in the network, namely degree, centrality, modularity, and word cloud, which can lead us to discover important attributes in the network: main actors, opinion leaders, groupings of actors according to topics discussed, and specific terms that are trending topics. Several visualizations of the social network of these actors are then displayed using specific network visualization applications. Data analytics is performed using one of the most extensive social media, Twitter. This paper analyzes networks on social media to find important actors and opinion leaders on trending start-up and entrepreneurship topics. Unfortunately, researchers and practitioners interested in analyzing social networks to gain business advantage through digital platforms still need to be expanded. The topic of start-ups and entrepreneurship has been widely discussed on social media to disseminate information while serving as a digital marketing platform. ![]()
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