On Analyzing Examples of Structural Holes in the Potential E-Commence Community

2013 ◽  
Vol 321-324 ◽  
pp. 2999-3007
Author(s):  
Ping Gan

With social network analysis to deeply resolve the social network of users and the network of the thematic network, this thesis is aimed to explore the natures of the node and the Internet as well, find out the potential community, and deepen the analysis of the community, in order to obtain information of structural holes in community. Besides, the feasibility and utility of methods exerted in the thesis were illustrated by experiments. The study of the thesis supplies the help to the online shopping platform with figures theoretically and technologically. On the other hand, through investigating people’s interest in goods, the thesis is also based on to study the user’s investment and the optimization of the online shopping platform.

Author(s):  
Mochamad Yudha Febrianta ◽  
Yusditira Yusditira ◽  
Sri Widianesty

Virtual Hotel Operator (VHO) trend is growing rapidly, especially in Indonesia. Two of the most popular VHO in Indonesia are OYO and RedDoorz, both have been competing to attain the first position. Both OYO and RedDoorz have their own social media marketing strategies. For example, OYO persuades other conventional hotels to collaborate and use the OYO platform in their businesses. On the other hand, RedDoorz was recorded as the most visited Virtual Hotel Operator Platform in 2019, based on the data of Konsumen Jakpat 2019. OYO and RedDoorz also utilize social media to promote their services such as Instagram and Twitter. For advertising their businesses in social media, OYO and RedDoorz often use some social media influencers or known as influencer social media marketing. Influencers should be able to effectively deliver the messages and influence people’s decisions to use the products or services they advertise. This study aims to further explore the social media marketing strategy employed by OYO and RedDoorz. The results of Social Network Analysis by using “oyoindonesia” and ‘reddoorz’ as keywords in social media Twitter showed that RedDoorz has a bigger social network and more users involved in spreading their information than OYO. On the other hand, OYO's official account on Twitter is more efficient in performing its function as marketing media.


The traditional research approaches common in different disciplines of social sciences centered around one half of the social realm: the actors. The other half are the relations established by these actors and forming the basis of “social.” The social structure shaped by these relations, the position of the actor within this structure, and the impact of this position on the actor are mostly excluded by the traditional research methods. In this chapter, the authors introduce social network analysis and how it complements the other methods.


Author(s):  
Лилия Александровна Стрельцова

Процессы, происходящие в современном информационном мире, неизбежно влияют на традиционные сообщества. Интернет является площадкой, где активно распространяются традиционные тексты, имевшие ранее ограниченное хождение в силу специфики их сохранения и воспроизведения. Представители непальской народности лимбу создали группу в социальной сети Facebook, где публикуют свои мифы, генеалогии, сказки и предания. Через платформу соцсети мифы доходят до более широкой аудитории, к тому же она предоставляет возможность для активного обсуждения. Меняется язык (с языка лимбу на непальский) и форма изложения (с поэтической на прозаическую). Мифы воспроизводятся не со слов шаманов, но по письменным источникам: санскритским текстам, работам европейских и местных ученых. Это иллюстрирует стремление лимбу придать «вес» собственной религии и традиции. Намечается разрыв в мифоритуальных практиках. Ритуал обсуждается только в связи с жертвоприношениями, которые воспринимаются частью участников как признак отсталости общества. Наибольшую значимость приобретает антропогонический миф, поскольку именно вера в общее происхождение является одним из важнейших критериев этничности. Активное воспроизведение мифа о творении человека в социальных сетях является одним из факторов, позволяющих лимбу сохранять чувство этнической общности Traditional societies are inevitably influenced by processes happening in the modern informational world. The internet is a place for active distribution of traditional texts, which formerly had limited circulation. The Limbu (or Yakthung) people of Nepal have created a Facebook group where they post their myths, genealogies, tales and legends. The social network makes it easy for these myths to reach a broad audience and provides an opportunity for active discussion. The language used is changing - from the Limbu language to Nepali - as well as the medium of speech (from the poetry to prose). The posted myths are based not on a shaman’s words but on written sources, i. e. Sanskrit texts, and works of local or foreign scholars. This shows how the Limbu aim to raise the profile of their religion and tradition. A rupture may be seen in mythical and ritual practices. Ritual is only discussed in the context of sacrifices, which some of the Limbu consider a sign of social backwardness. On the other hand, the anthropogonic myth has been gaining additional importance because the belief in common ancestry constitutes one of the most important criteria of ethnicity. Active sharing of anthropogonic myths on the social network thus allows the Limbu to preserve their sense of ethnic unity.


2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Chenchen Ma

If you want to understand the social development and management of social network analysis, you must first know what social network analysis is. The network not only refers to the things that we usually use to surf the Internet, make calls, chat, etc., it is actually a relationship structure, a medium that links all aspects of related or unrelated things, and social network refers to the social The medium that connects various relationships is mainly to connect the individual with the social system. Everyone has his own way of behavior, has his own role in society, plays his own role, and effectively connects these individuals, just like our interpersonal communication in society, forming a social network. The Internet is actually the interaction of people in the social environment. It is similar to the Internet that we usually come into contact with. It has both restraints and development.


Comunicar ◽  
2021 ◽  
Vol 29 (69) ◽  
Author(s):  
Rafael Carrasco-Polaino ◽  
Miguel-Ángel Martín-Cárdaba ◽  
Ernesto Villar-Cirujano

Twitter has transformed into one of the main platforms for citizen engagement today. However, even though previous studies have focused on opinions about vaccines in general or about specific vaccines, opinions towards COVID-19 vaccines on Twitter have not been researched to date. The objective of this research is, by using social network analysis and language processing tools, to examine the degree to which the opinions and interactions present on Twitter are favorable or unfavorable towards the main COVID-19 vaccines. In addition, the relevance of each of the vaccines is studied, as well as their level of controversy. Likewise, the present study investigates, for the first time, the conversation from different perspectives including the content and also the participants, by analyzing in detail the verified accounts and using tools for the detection of bots. In global terms, the results from verified accounts show a moderate favorability towards the COVID-19 vaccines, the most accepted being those of Oxford-AstraZeneca, Pfizer, Moderna, and Sputnik V. On the other hand, the vaccine that attracts the most attention is the Russian Sputnik V, which is also the most controversial, behind those developed in China. Finally, verified users are shown to be relevant agents in the conversation due to their greater capacity for dissemination and reach, while the presence of bots is practically non-existent. Twitter se ha transformado en una de las principales plataformas de participación ciudadana hoy en día. Sin embargo, aun cuando estudios similares previos se han centrado en la opinión sobre las vacunas en general o sobre otras vacunas específicas, hasta la fecha no se han investigado las opiniones hacia las vacunas contra la COVID-19 en Twitter. El objetivo de esta investigación es, mediante el uso de herramientas de análisis de redes sociales y de herramientas de procesamiento del lenguaje, examinar el grado en el que las opiniones e interacciones presentes en Twitter son favorables o no hacia las principales vacunas de la COVID-19. Además, se estudia la relevancia de cada una de las principales vacunas, así como su nivel de controversia (polemicidad). Igualmente, el presente estudio investiga por primera vez la conversación no solo desde el punto de vista del contenido, sino también de los participantes que la integran, analizando en detalle las cuentas verificadas y empleando herramientas para la detección de bots. En términos globales, los resultados muestran una moderada favorabilidad hacia las vacunas de la COVID-19, siendo las más aceptadas las de Oxford-AstraZeneca, Pfizer y Moderna, y la de Sputnik V en el caso concreto de las cuentas verificadas. Por otro lado, la vacuna que más atención acapara es la rusa Sputnik V, que es además la más polémica por detrás de las de origen chino. Por último, los usuarios verificados se muestran como agentes relevantes de la conversación por su mayor capacidad de difusión y alcance, mientras que la presencia de bots es prácticamente inexistente.


Author(s):  
Sophie Mützel ◽  
Ronald Breiger

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.


Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.


2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee

2020 ◽  
Vol 13 (4) ◽  
pp. 503-534
Author(s):  
Mehmet Ali Köseoğlu ◽  
John Parnell

PurposeThe authors evaluate the evolution of the intellectual structure of strategic management (SM) by employing a document co-citation analysis through a network analysis for academic citations in articles published in the Strategic Management Journal (SMJ).Design/methodology/approachThe authors employed the co-citation analysis through the social network analysis.FindingsThe authors outlined the evolution of the academic foundations of the structure and emphasized several domains. The economic foundation of SM research with macro and micro perspectives has generated a solid knowledge stock in the literature. Industrial organization (IO) psychology has also been another dominant foundation. Its robust development and extension in the literature have focused on cognitive issues in actors' behaviors as a behavioral foundation of SM. Methodological issues in SM research have become dominant between 2004 and 2011, but their influence has been inconsistent. The authors concluded by recommending future directions to increase maturity in the SM research domain.Originality/valueThis is the first paper to elucidate the intellectual structure of SM by adopting the co-citation analysis through the social network analysis.


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