scholarly journals Notification as a mean to increase user activity in newborn online communities.

2018 ◽  
Author(s):  
Ezra Fuks ◽  
David S. Brima
Keyword(s):  
Network Analysis ◽  
Online Communities ◽  
Tipping Point ◽  
User Engagement ◽  
Classical Statistic ◽  
Online Platform ◽  
User Activity ◽  
The Relationship ◽  
Moderate Relationship

There is a considerable challenge in getting online communities of the ground; founders of such platforms employ many strategies to manage this issue and go over the tipping point; this study examines the influence of notifications on user activity in general, and in context of admin activity. An online platform for co-creation of playlists called Echo was studied; Both classical statistic and network analysis was employed in order to establish the relationship between these variables and the structure of the network. A weak to moderate relationship was found, while the main carriers of activity were admin users, as key carriers of user engagement in the early days of Echo.

From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare

2020 ◽  
Vol 31 (2) ◽  
pp. 607-626 ◽  
Author(s):  
Marios Kokkodis ◽  
Theodoros Lappas ◽  
Sam Ransbotham
Keyword(s):  
Online Communities ◽  
Online Community ◽  
User Engagement ◽  
Community Members ◽  
Discussion Threads ◽  
Voluntary Contribution ◽  
User Activity

In an online community, users can interact with fellow community members by voluntarily contributing to existing discussion threads or by starting new threads. In practice, however, the vast majority of a community’s users (∼90%) remain inactive (lurk), simply observing contributions made by intermittent (∼9%) and heavy (∼1%) contributors. Our research examines increases and decreases of types of user engagement in online communities, characterizing user engagement based on trace user activity or lack of activity. Some lurkers later become workers (i.e., engaged in the community), but some will not. Differentiating lurkers who can be engaged from those who cannot enables managers to anticipate and proactively direct their resources toward the users who are most likely to become or remain workers (i.e., heavy contributors), thereby promoting community welfare. Our research, based on analysis of 533,714 posts from an online diabetes community, can thus guide managerial interventions to increase online community welfare.

scholarly journals The covid-19 Infodemic and Online Platforms as Intermediary Fiduciaries under International Law

2020 ◽  
Vol 11 (2) ◽  
pp. 331-347
Author(s):  
Barrie Sander ◽  
Nicholas Tsagourias
Keyword(s):  
Public Good ◽  
International Law ◽  
Online Platform ◽  
Platform Governance ◽  
Online Platforms ◽  
Different Dimensions ◽  
Fiduciary Relationships ◽  
The Relationship

Reflecting on the covid-19 infodemic, this paper identifies different dimensions of information disorder associated with the pandemic, examines how online platform governance has been evolving in response, and reflects on what the crisis reveals about the relationship between online platforms, international law, and the prospect of regulation. The paper argues that online platforms are intermediary fiduciaries of the international public good, and for this reason regulation should be informed by relevant standards that apply to fiduciary relationships.

scholarly journals A Network Analysis of the Relationship among Reading, Spelling and Maths Skills

2021 ◽  
Vol 11 (5) ◽  
pp. 656
Author(s):  
Pierluigi Zoccolotti ◽  
Paola Angelelli ◽  
Chiara Valeria Marinelli ◽  
Daniele Luigi Romano
Keyword(s):  
Network Analysis ◽  
Clinical Analysis ◽  
Skill Learning ◽  
Fifth Grade ◽  
Learning Skills ◽  
Level Model ◽  
Multi Level ◽  
Unselected Group ◽  
The Relationship

Background. Skill learning (e.g., reading, spelling and maths) has been predominantly treated separately in the neuropsychological literature. However, skills (as well as their corresponding deficits), tend to partially overlap. We recently proposed a multi-level model of learning skills (based on the distinction among competence, performance, and acquisition) as a framework to provide a unitary account of these learning skills. In the present study, we examined the performance of an unselected group of third- to fifth-grade children on standard reading, spelling, and maths tasks, and tested the relationships among these skills with a network analysis, i.e., a method particularly suited to analysing relations among different domains. Methods. We administered a battery of reading, spelling, and maths tests to 185 third-, fourth-, and fifth-grade children (103 M, 82 F). Results. The network analysis indicated that the different measures of the same ability (i.e., reading, spelling, and maths) formed separate clusters, in keeping with the idea that they are based on different competences. However, these clusters were also related to each other, so that three nodes were more central in connecting them. In keeping with the multi-level model of learning skills, two of these tests (arithmetic facts subtest and spelling words with ambiguous transcription) relied heavily on the ability to recall specific instances, a factor hypothesised to underlie the co-variation among learning skills. Conclusions. The network analysis indicated both elements of association and of partial independence among learning skills. Interestingly, the study was based on standard clinical instruments, indicating that the multi-level model of learning skills might provide a framework for the clinical analysis of these learning skills.

scholarly journals Network Analysis of the Interaction between Different Religious and Philosophical Movements in Early Judaism

Philosophies ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 2
Author(s):  
Igor R. Tantlevskij ◽  
Ekaterina V. Gromova ◽  
Dmitry Gromov
Keyword(s):  
Social Networks ◽  
Network Analysis ◽  
Second Temple ◽  
Political Movements ◽  
Early Judaism ◽  
Social Balance ◽  
The Relationship

This paper presents an attempt to systematically describe and interpret the evolution of different religious and political movements in Judaea during the period of the Second Temple using the methods of the theory of social networks. We extensively analyzed the relationship between the main Jewish sects: Pharisees, Sadducees, Essenes (Qumranites), and later also Zealots. It is shown that the evolution of the relations between these sects agreed with the theory of social balance and their relations evolved toward more socially balanced structures.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

scholarly journals Black feminist intersectionality is vital to group analysis: Can group analysis allow outsider ideas in?

2021 ◽  
pp. 053331642199776
Author(s):  
Suryia Nayak
Keyword(s):  
Black Women ◽  
Black People ◽  
Black Feminism ◽  
Group Analysis ◽  
Black Feminist ◽  
Online Platform ◽  
Large Group ◽  
Diversity And Inclusion ◽  
Analytical Structure ◽  
The Relationship

This is the transcript of a speech I gave at an Institute of Group Analysis (IGA) event on the 28th November 2020 about intersectionality and groups analysis. This was momentous for group analysis because it was the first IGA event to focus on black feminist intersectionality. Noteworthy, because it is so rare, the large group was convened by two black women, qualified members of the IGA—a deliberate intervention in keeping with my questioning of the relationship between group analysis and power, privilege, and position. This event took place during the Covid-19 pandemic via an online platform called ‘Zoom’. Whilst holding the event online had implications for the embodied visceral experience of the audience, it enabled an international attendance, including members of Group Analysis India. Invitation to the event: ‘Why the black feminist idea of intersectionality is vital to group analysis’ Using black feminist intersectionality, this workshop explores two interconnected issues: • Group analysis is about integration of parts, but how do we do this across difference in power, privilege, and position? • Can group analysis allow outsider ideas in? This question goes to the heart of who/ what we include in group analytic practice—what about black feminism? If there ‘cannot possibly be one single version of the truth so we need to hear as many different versions of it as we can’ (Blackwell, 2003: 462), we need to include as many different situated standpoints as possible. Here is where and why the black feminist idea of intersectionality is vital to group analysis. On equality, diversity and inclusion, intersectionality says that the ‘problems of exclusion cannot be solved simply by including black [people] within an already established analytical structure’ (Crenshaw, 1989: 140). Can group analysis allow the outsider idea of intersectionality in?

scholarly journals Does Online Community Participation Contribute to Medication Adherence? An Empirical Study of Patients with Chronic Diseases

2021 ◽  
Vol 18 (10) ◽  
pp. 5100
Author(s):  
Jyh-Jeng Wu ◽  
Yueh-Mei Chen ◽  
Paul C. Talley ◽  
Kuang-Ming Kuo
Keyword(s):  
Medication Adherence ◽  
Chronic Diseases ◽  
Online Communities ◽  
Emotional Support ◽  
Self Efficacy ◽  
Online Community ◽  
Healthcare Professionals ◽  
Informational Support ◽  
Chronic Patients ◽  
The Relationship

Effectively improving the medication adherence of patients is crucial. Past studies focused on treatment-related factors, but little attention has been paid to factors concerning human beliefs such as trust or self-efficacy. The purpose of this study is to explore the following aspects of patients with chronic diseases: (1) The relationship between emotional support, informational support, self-efficacy, and trust; (2) the relationship between self-efficacy, trust, and medication adherence; and, (3) whether chronic patients’ participation in different types of online communities brings about significant statistical differences in the relationships between the abovementioned variables. A questionnaire survey was conducted in this study, with 452 valid questionnaires collected from chronic patients previously participating in online community activities. Partial Least Squares-Structural Equation Modeling analysis showed that emotional support and informational support positively predict self-efficacy and trust, respectively, and consequently, self-efficacy and trust positively predict medication adherence. In addition, three relationships including the influence of emotional support on trust, the influence of trust on medication adherence, and the influence of self-efficacy on medication adherence, the types of online communities result in significant statistical differences. Based on the findings, this research suggests healthcare professionals can enhance patients’ self-efficacy in self-care by providing necessary health information via face-to-face or online communities, and assuring patients of demonstrable support. As such, patients’ levels of trust in healthcare professionals can be established, which in turn improves their medication adherence.

Exploring the Relationship Between Social Interaction, Cognitive Processing and Learning Achievements in a MOOC Discussion Forum

2021 ◽  
pp. 073563312110273
Author(s):  
Zhi Liu ◽  
Ning Zhang ◽  
Xian Peng ◽  
Sannyuya Liu ◽  
Zongkai Yang ◽  
...  
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Network Analysis ◽  
Cognitive Processing ◽  
Learning Analytics ◽  
Discussion Forum ◽  
Community Type ◽  
Eigenvector Centrality ◽  
Community Types ◽  
The Relationship

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.

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