Analysis of activity in open-source communities using social network analysis techniques

Torres, María del Rocío Martínez

doi:10.1080/19761597.2014.912577

Cited by 9 publications

(4 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Projects typically begin in the first stage, with new developers being brought in onto the lower tier of development over time. In an extension of this work Martínez-Torres [17] found that the core team of developers are responsible for bringing in these new developers, showing former connections are valuable. Similarly, Allaho and Lee [18] using very large datasets from Ohloh and GitHub, found that as new developers join, developers with higher levels of expertise will partner with newer developers, adding them into the project.…”

Section: Hierarchymentioning

confidence: 80%

Social network analysis of open source software: A review and categorisation

McClean

Greer

Jurek-Loughrey

2021

Information and Software Technology

View full text Add to dashboard Cite

and used or discarded based on predetermined inclusion and exclusion criteria. Research which focuses on the success factors of Open Source Software through Network Analysis is also examined. Results: A subjective categorisation is established for the papers: Structure, Lifecycle and Communication. It was found that the structure of a project has a large bearing on project success, with developers having previously worked together being indicative of project success. Other structure indicators of success are having a small but structured hierarchy, a diverse user and developer base, and project prominence. However, it was found that information on how these structures appear and evolve over time is lacking, and future research into temporal data models to determine project success information is suggested. Conclusions: A categorisation of existing research on Social Network Analysis is provided as a basis for further research. Further work into the lifecycle of OSS projects through Social Network Analysis of temporal project information is suggested.

show abstract

Section: Hierarchymentioning

confidence: 80%

Social network analysis of open source software: A review and categorisation

McClean

Greer

Jurek-Loughrey

2021

Information and Software Technology

View full text Add to dashboard Cite

show abstract

“…Other factors enhancing idea generation were the variety of roles users assume, the heterogeneity of the community, and the moderating role of company employees triggering discussions and engaging with the community [ 47 , 114 , 124 ]. Authors also investigated specific structural characteristics of open innovation communities and communication patterns [ 110 , 125 – 132 ]. By examining the effect of specific network structures, Singh, for example, showed that small-world properties of an online community led to successful projects in terms of code development as well as user acceptance.…”

Section: Resultsmentioning

confidence: 99%

What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review

2016

View full text Add to dashboard Cite

BackgroundIn order to adapt to societal changes, healthcare systems need to switch from a disease orientation to a patient-centered approach. Virtual patient networks are a promising tool to favor this switch and much can be learned from the open and user innovation literature where the involvement of online user communities in the innovation process is well-documented.ObjectivesThe objectives of this study were 1) to describe the use of online communities as a tool to capture and harness innovative ideas of end users or consumers; and 2) to point to the potential value and challenges of these virtual platforms to function as a tool to inform and promote patient-centered care in the context of chronic health conditions.MethodsA scoping review was conducted. A total of seven databases were searched for scientific articles published in English between 1995 and 2014. The search strategy was refined through an iterative process.ResultsA total of 144 studies were included in the review. Studies were coded inductively according to their research focus to identify groupings of papers. The first set of studies focused on the interplay of factors related to user roles, motivations, and behaviors that shape the innovation process within online communities. Studies of the second set examined the role of firms in online user innovation initiatives, identifying different organizational strategies and challenges. The third set of studies focused on the idea selection process and measures of success with respect to online user innovation initiatives. Finally, the findings from the review are presented in the light of the particularities and challenges discussed in current healthcare research.ConclusionThe present paper highlights the potential of virtual patient communities to inform and promote patient-centered care, describes the key challenges involved in this process, and makes recommendations on how to address them.

show abstract

“…Network analysis, a method first introduced in sociology, enables us to analyze the structure of a network that consists of connections among people and then use such analysis to interpret various social phenomena (Iacobucci and Hopkins, 1992;Martínez-Torres, 2014). Henderson et al (1998), working from the premise that consumers' brand associations also form network structures, applied various concepts and methods used in network analysis to elicit and analyze brand association networks from consumers.…”

Section: Brand Positioning Through Web Search Traffic Informationmentioning

confidence: 99%

Visualization of brand positioning based on consumer web search information

Jun

Park

2017

Internet Research

View full text Add to dashboard Cite

Purpose -Online web searches have played crucial roles in influencing consumers' purchasing decisions. Web search traffic information enables researchers and practitioners to better understand consumers in terms of their preferences and interests, among other things. The purpose of this paper is to use web search traffic information provided by Google Trends to derive relationships among product brands as well as those between product brands and product attributes to propose a method to enhance the visibility of consumer brand positioning. Design/methodology/approach -This study builds upon the interesting observation that consumers' behavior in performing simultaneous searches, or searches including two or more keywords, can be converted into data indicating relationships among brands as well as those between brands and their attributes. The study focuses on the cases of hybrid cars and tablet PCs, and applies a social network analysis method to identify these relationships. Time series information on web search traffic is used because it can track these two product groups from the early stages to the present. This step is completed to verify the changes in the status of each brand and in their relationships that occurred in consumers' minds over time. Findings -Results show that consumers' web search behaviors reveal the brand positioning and brand-attribute associations in their minds. Specifically, using consumers' simultaneous search data, the authors derived relationships among brands (brand-brand network) from consumers' behaviors of searching simultaneously for two brands and the relationships between brands and attributes (brand-product attributes network) from consumers' behavior of searching simultaneously for a specific brand and certain product attributes. Originality/value -Theoretically, this study verifies that consumers' web search traffic information can be used to microscopically identify the positions of individual brands and their relationships in the minds of consumers. Regarding practical applications, this study proposes a method that can be used by companies to track how consumers perceive their brands by performing a simple and cost-effective analysis using the free search traffic information provided by Google.

show abstract

Analysis of activity in open-source communities using social network analysis techniques

Cited by 9 publications

References 48 publications

Social network analysis of open source software: A review and categorisation

Social network analysis of open source software: A review and categorisation

What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review

Visualization of brand positioning based on consumer web search information

Contact Info

Product

Resources

About