Life Experience of Ethnic Minorities in Urban of Vietnam: An Analysis of the Social Relationship and Social Networks

This article is a part of a research project supported by Vietnam National University-Hanoi about the social welfare of ethnic people in the urban and industrial zones, aims at identifying and describing the life experiences of these groups in the urbanization process. Shreds of evidence from analysing the social network, social connection, social interaction of research participants in their living and working places, it is found that the ethnic minorities face difficulties in setting their life in the new context. However, they tend to build the social cohesion and to be satisfied with the new life conditions to meet the objectives of having a better life and a job in the new context. The findings from this analysis also show that there is a difference among the living place, age group, gender correlated to the social network, social relation and life experiences in the new context. It is the initial finding from the survey of 600 ethnic people in urban of three provinces of Daklak, Lang Son and Binh Duong of Vietnam. Received: 22 June 2021 / Accepted: 05 August 2021 / Published: 5 September 2021

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ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

State and Regions. Series: Social Communications ◽

10.32840/cpu2219-8741/2020.1(41).18 ◽

2020 ◽

pp. 113

Author(s):

V. Kovpak ◽

N. Trotsenko

Keyword(s):

Social Network ◽

Professional Training ◽

Educational Process ◽

Communication Strategy ◽

Student Centered ◽

Teacher Student ◽

The Social ◽

National University ◽

High Level ◽

The Impact

<div>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</div>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).Key words: nativeness, native advertising, branded content, special project, communication strategy.

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PERAN JARINGAN SOSIAL PADA KAMPANYE LINGKUNGAN DI MEDIA SOSIAL: KASUS KAMPANYE MELAWAN ASAP

INFORMASI ◽

10.21831/informasi.v46i1.9652 ◽

2016 ◽

Vol 46 (1) ◽

pp. 87

Author(s):

Ika Hariyani

Keyword(s):

Social Media ◽

Social Network ◽

Qualitative Method ◽

Social Relation ◽

Executive Board ◽

The Social ◽

Environmental Campaigns ◽

The University ◽

Depth Interviews

Campaigns nowadays are oftenly carried through social medias, including campaigns concerning the environment. Based on previous studies, effectivity of campaigns through social medias were affected by many factors, such as the activity of the online administrator, additional socialization that were carried off- line, and also the involvement of the active followers in social medias. However, this paper views environmental campaign in social medias could be effective if viewed from another side,that is social network. This study sees how social network can improve the effectivity of environmental campaigns in social medias,therefore it’s safe to say that this study brings an addition to previous studies related tofactors that influenced the effectivity of environmental campaigns that utilized social medias as a channel of communication. The method used for this paper is qualitative method, with case study on Melawan Asap (Fight the Haze) campaign initiated by BEM UI (Executive Board of Students of University of Indonesia) in 2015 to form an alliance consisting several organizations from inside and outside of the university. Collection of data for this study was done with in-depth interviews with certain informants, based on a criteria established previously by the author, beside an observation upon social media accounts that were used for Fight the Haze campaign. The result shows that the involvement of networks in social media affects the effectivity of Fight the Haze campaign. Also, the social relation between organizations that are united under the alliance of Fight the Haze campaign are based on sentimental network.Kampanye kian marak dilakukan dengan menggunakan media sosial, tidak terkecuali kampanye lingkungan. Berdasarkan kajian-kajian sebelumnya, keefektifan kampanye dengan menggunakan media sosial dipengaruhi oleh berbagai faktor seperti adanya administrator online yang aktif, adanya sosialisasi tambahan yang dilakukan secara offline, dan juga terlibatnya pengikut/followers di media sosial secara aktif. Namun, tulisanini melihat kampanye lingkungan di media sosial dapat efektif dari sisi lain yaitu dari jaringan sosial. Kajian ini melihat bagaimana jaringan sosial berperan dalam membuat efektif kampanye lingkungan di media sosial, sehingga dapat dikatakan bahwa kajian ini menambahkan penemuan dari kajian-kajian sebelumnya yang berbicara mengenai faktor yang membuat efektif kampanye lingkungan dengan menggunakan media sosial sebagai media komunikasinya. Metode yang digunakan dalam tulisan ini adalah metode kualitatif dengan studi kasus pada kampanye melawan asap yang diinisiatori oleh BEM UI 2015 untuk membentuk sebuah aliansi dengan menggandeng beberapa organisasi di UI dan juga dari luar UI. Pengambilan data dalam studi ini dilakukan melalui wawancara mendalam dengan informan- informan tertentu berdasarkan kriteria yang penulis tetapkan dan melakukan observasi terhadap akun media sosial yang digunakan untuk menyebarluaskan kampanye melawan asap. Hasil kajian ini menunjukkan bahwa keterlibatan peran jaringan di media sosial mempengaruhi efektifitas kampanye melawan asap, serta hubungan sosial antar organisasi yang tergabung dalam aliansi gerakan melawan asap terbentuk berdasarkan jaringan perasaan/sentiment.

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Supporting CSCW and CSCL with Intelligent Social Grouping Services

E-Collaboration ◽

10.4018/978-1-60566-652-5.ch118 ◽

2009 ◽

pp. 1629-1641

Author(s):

Jeffrey J.P. Tsai ◽

Jia Zhang ◽

Jeff J.S. Huang ◽

Stephen J.H. Yang

Keyword(s):

Social Network ◽

Communities Of Practice ◽

Social Relationship ◽

Computational Models ◽

Peer To Peer ◽

Social Grouping ◽

Important Relationship ◽

The Social

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.

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Supporting CSCW and CSCL with Intelligent Social Grouping Services

Software and Intelligent Sciences ◽

10.4018/978-1-4666-0261-8.ch024 ◽

2012 ◽

pp. 420-433

Author(s):

Jeffrey J.P. Tsai ◽

Jia Zhang ◽

Jeff J.S. Huang ◽

Stephen J.H. Yang

Keyword(s):

Social Network ◽

Communities Of Practice ◽

Social Relationship ◽

Computational Models ◽

Peer To Peer ◽

Social Grouping ◽

Important Relationship ◽

The Social

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TDSRC: A Task-Distributing System of Crowdsourcing Based on Social Relation Cognition

Mobile Information Systems ◽

10.1155/2019/7413460 ◽

2019 ◽

Vol 2019 ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

Zhenlong Peng ◽

Xiaolin Gui ◽

Jian An ◽

Ruowei Gui ◽

Yali Ji

Keyword(s):

Social Network ◽

Problem Solving ◽

Social Relation ◽

Experimental Results ◽

The Public ◽

Trust Relationship ◽

Main Challenge ◽

The Social

Crowdsourcing significantly augments the creativity of the public and has become an indispensable component of many problem-solving pipelines. The main challenge, however, is the effective identification of malicious participators while distributing crowdsourcing tasks. In this paper, we propose a novel task-distributing system named Task-Distributing system of crowdsourcing based on Social Relation Cognition (TDSRC) to select qualified participators. First, we divided the tasks into categories according to task themes. Then, we constructed and calculated the Abilities Set (AS), Abilities Values (AVs), and the Friends’ Abilities Matrix (FAM) by using the historical interactive texts between a given task publisher (requester) and its friends. When a requester distributes a task, TDSRC can generate the candidate participators’ sequence based on the task needs and FAM. Finally, the best-matched friends in the sequence are selected as the task receivers (solvers), thus producing a personal FAM to disseminate the tasks. The experimental results indicate that (1) the proposed system can accurately and effectively discover the requester’s friends’ abilities and select appropriate solvers and (2) the natural trust relationship in the social network reduces fraudsters and enhances the quality of crowdsourcing services.

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Measurement of network-based and random meetings in social networks

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1806-103 ◽

2019 ◽

pp. 765-779

Author(s):

Pranav NERURKAR ◽

MADHAV CHANDANE ◽

SUNIL BHIRUD

Keyword(s):

Social Networks ◽

Social Network ◽

Social Relationship ◽

Network Formation ◽

Continuous Growth ◽

The Social ◽

Simulation Based ◽

Suitable Structure ◽

Block Models ◽

Genesis Model

Social networks are created by the underlying behavior of the actors involved in them. Each actor has interactions with other actors in the network and these interactions decide whether a social relationship should develop between them. Such interactions may occur due to meeting processes such as chance-based meetings or network-based (choice) meetings. Depending upon which of these two types of interactions plays a greater role in creation of links, a social network shall evolve accordingly. This evolution shall result in the social network obtaining a suitable structure and certain unique features. The aim of this work is to determine the relative ratio of the meeting processes that exist between different actors in a social network and their importance in understanding the procedure of network formation. This is achieved by selecting a suitable network genesis model. For this purpose, different models for network genesis are discussed in detail and their differences are highlighted through experimental results. Network genesis models are compared and contrasted with other approaches available in the literature, such as simulation-based models and block models. Performance measures to compare the results of the network genesis models with baselines are statistics of networks recreated using the models. The socially generated networks studied here belong to various domains like e- commerce, electoral processes, social networking websites, peer to peer file-sharing websites, and Internet graphs. The insights obtained after analyzing these datasets by network genesis models are used for prescribing measures that could ensure continuous growth of these social networks and improve the benefits for the actors involved in them.

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The use of English in the social network of a student in South China

English Today ◽

10.1017/s0266078417000190 ◽

2017 ◽

Vol 33 (4) ◽

pp. 19-29 ◽

Cited By ~ 3

Author(s):

Werner Botha

Keyword(s):

Social Network ◽

Undergraduate Students ◽

English Language ◽

Social Dynamics ◽

Southern China ◽

Code Switching ◽

Language Varieties ◽

Chinese University ◽

The Social ◽

National University

Many Chinese university students are bilingual or multilingual, increasingly switching between various Chinese language varieties and the English language (Bolton, 2013; Botha, 2014, Bolton & Botha, 2015). Bolton and Botha (2015) reported that undergraduate students at a national university in China used English for a range of social activities including ‘reading’, ‘Internet searches’, ‘online socialising’ and ‘socializing with friends’, among others. There is a need to investigate the extent to which these students actually use English in these contexts, especially in the productive use of the English language in their social lives. In examining such practices, the following questions are addressed in this article: (i) How is the English language used in the personal life of a student in Southern China; (ii) What are some of the functions of spoken and written English-Chinese code-mixing and switching between members of this student's social network; and (iii) What kind of social information is conveyed through the use of English in this student's social network? In order to examine the sociolinguistic reality of language use by these students, this article explores some of the social dynamics underlying the emerging use of English-Chinese code-switching and mixing within a particular social network: that of ‘Natalie’, a Chinese university student who speaks Putonghua (Mandarin, as a first language) and members within her social network, conversing within a range of modalities. This case study focuses in particular on the use of English-Chinese code-switching and mixing practices, and the extent to which these communicative practices are shaped by various social factors, ranging from the status of English as a perceived ‘international’ language, to aspects of stance and the affective quality of the relationships between members in this social network, to the intertextual nature of many of the linguistic instances to these practices.

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A Longitudinal Perspective on Bereaved Parent's Changes in Life Experience after the 2014 Sewol Ferry Sinking

OMEGA - Journal of Death and Dying ◽

10.1177/0030222820947238 ◽

2020 ◽

pp. 003022282094723

Author(s):

Yewon Kim ◽

Dong Hun Lee ◽

Hong Jin Jeon

Keyword(s):

Social Relationship ◽

Life Experience ◽

Life Experiences ◽

Qualitative Content Analysis ◽

Family Relationship ◽

Detailed Examination ◽

Bereaved Parents ◽

Personal Changes ◽

Depth Interviews ◽

Over Time

This study compared reports of parental life experiences from bereaved parents at two and five years after the death of their adolescent children due to the sinking of the Sewol Ferry in South Korea. Twelve bereaved parents (eight mothers and four fathers from eight families) were interviewed regarding the changes and stabilities they experienced over time at two time points of data collection. Twenty-eight in-depth interviews were transcribed verbatim and analyzed using qualitative content analysis. Outcomes of parental bereavement and changes in life over time may be classified into four main categories: (a) personal changes, (b) changes in perspectives, (c) changes in family relationship, and (d) changes in social relationship and work attitude. This study includes a detailed examination of the phenomenon among the bereaved parents. Discussions and implications are provided based on the results.

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Oral Health through the Life Experiences of Older Greek and Italian Adults

Australian Journal of Primary Health ◽

10.1071/py02040 ◽

2002 ◽

Vol 8 (3) ◽

pp. 20 ◽

Cited By ~ 11

Author(s):

Rodrigo Mariño ◽

Victor Minichiello ◽

Margot Schofield ◽

Clive Wright

Keyword(s):

Oral Health ◽

Health Care Services ◽

Life Experience ◽

Life Experiences ◽

Oral Health Promotion ◽

Older Immigrants ◽

Care Services ◽

The Social ◽

Shared Stories ◽

Group Interviews

Little is known about the oral health of immigrant groups in Australia, particularly older immigrants, or about their individual life experience with oral health care services. This study was concerned with understanding the social meaning of the oral health experience of older adults from Greek and Italian backgrounds living in Melbourne, Australia. A qualitative approach was selected to allow participants to describe their lived experiences and perceptions regarding oral health. Seventeen focus group interviews were conducted between June and July 2000, with 172 participants recruited from Italian and Greek senior clubs in Melbourne. All of the participants were born overseas. Transcripts were analysed using key words and concepts. The results indicate that the participants' experiences as immigrants, and of growing up within a set of stories about oral health and interactions with dentistry, is critical to shaping their views about oral health. The various meanings surrounding their oral health experiences are partly shaped within the context of pre- and post-migration, socio-cultural environments, and historical changes in oral health treatment philosophies and approaches. The data shows that early experiences of oral health and dentistry services are highly salient in the form of memories, shared stories and folk beliefs, and may serve to influence current oral health practices even today. The study suggests that if oral health professionals are able to identify and understand specific social traditions and life experiences with dentistry, this knowledge could more successfully engage older immigrant groups with oral health promotion activities and treatments, and he useful for designing and evaluating culturally appropriate oral health interventions for older migrant groups.

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Predicting investor funding behavior using crunchbase social network features

Internet Research ◽

10.1108/intr-09-2014-0231 ◽

2016 ◽

Vol 26 (1) ◽

pp. 74-100 ◽

Cited By ~ 12

Author(s):

Yuxian Eugene Liang ◽

Soe-Tsyr Daphne Yuan

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Link Prediction ◽

Social Relationship ◽

Jaccard Coefficient ◽

Network Graph ◽

Content Type ◽

The Social ◽

Relationship Factors

Purpose – What makes investors tick? Largely counter-intuitive compared to the findings of most past research, this study explores the possibility that funding investors invest in companies based on social relationships, which could be positive or negative, similar or dissimilar. The purpose of this paper is to build a social network graph using data from CrunchBase, the largest public database with profiles about companies. The authors combine social network analysis with the study of investing behavior in order to explore how similarity between investors and companies affects investing behavior through social network analysis. Design/methodology/approach – This study crawls and analyzes data from CrunchBase and builds a social network graph which includes people, companies, social links and funding investment links. The problem is then formalized as a link (or relationship) prediction task in a social network to model and predict (across various machine learning methods and evaluation metrics) whether an investor will create a link to a company in the social network. Various link prediction techniques such as common neighbors, shortest path, Jaccard Coefficient and others are integrated to provide a holistic view of a social network and provide useful insights as to how a pair of nodes may be related (i.e., whether the investor will invest in the particular company at a time) within the social network. Findings – This study finds that funding investors are more likely to invest in a particular company if they have a stronger social relationship in terms of closeness, be it direct or indirect. At the same time, if investors and companies share too many common neighbors, investors are less likely to invest in such companies. Originality/value – The author’s study is among the first to use data from the largest public company profile database of CrunchBase as a social network for research purposes. The author ' s also identify certain social relationship factors that can help prescribe the investor funding behavior. Authors prediction strategy based on these factors and modeling it as a link prediction problem generally works well across the most prominent learning algorithms and perform well in terms of aggregate performance as well as individual industries. In other words, this study would like to encourage companies to focus on social relationship factors in addition to other factors when seeking external funding investments.

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