Communication Network Characteristics of Open Source Communities

2009 ◽  
Vol 1 (4) ◽  
pp. 26-48
Author(s):  
David Hinds ◽  
Ronald M. Lee
Keyword(s):  
Social Network ◽  
Open Source ◽  
Communication Networks ◽  
Network Structure ◽  
Success Factors ◽  
Work Groups ◽  
Success Factor ◽  
Software Project ◽  
Critical Success ◽  
Social Network Structure

Empirical research has shown that social network structure is a critical success factor for various kinds of work groups. The authors extended this research to a new type of work group—the open source software project community—with the objective of exploring the role of communication networks within these intriguing projects. Using archival data from 143 open source project groups, the authors compiled six measures of social network structure and analyzed these in relation to four measures of group success. This study found that the social network structures of these project communities did not appear to be critical success factors at all, but rather they had no significant impact on success or their effect was opposite of that seen in prior studies of work groups. Various conjectures were suggested that might explain these results, offering opportunities for further research.

Communication Network Characteristics of Open Source Communities

2011 ◽  
pp. 195-217
Author(s):  
David Hinds ◽  
Ronald M. Lee
Keyword(s):  
Social Network ◽  
Open Source ◽  
Communication Networks ◽  
Network Structure ◽  
Success Factors ◽  
Work Groups ◽  
Software Project ◽  
Critical Success ◽  
Social Network Structure ◽  
Group Success

Empirical research has shown that social network structure is a critical success factor for various kinds of work groups. The authors extended this research to a new type of work group—the open source software project community—with the objective of exploring the role of communication networks within these intriguing projects. Using archival data from 143 open source project groups, the authors compiled six measures of social network structure and analyzed these in relation to four measures of group success. This study found that the social network structures of these project communities did not appear to be critical success factors at all, but rather they had no significant impact on success or their effect was opposite of that seen in prior studies of work groups. Various conjectures were suggested that might explain these results, offering opportunities for further research.

Investigating the Success of OSS Software Projects

2015 ◽  
pp. 92-102
Author(s):  
Amir Hossein Ghapanchi
Keyword(s):  
Open Source ◽  
Failure Rate ◽  
Network Structure ◽  
Success Factors ◽  
Research Community ◽  
Literature Survey ◽  
High Failure Rate ◽  
Software Projects ◽  
Critical Success ◽  
Insight Into

Whereas there are several instances of Open Source Software (OSS) projects that have achieved huge success in the market, a high failure rate has been reported for OSS projects. This study conducts a literature survey to gain insight into existing studies on the success of OSS projects. More specifically, this study seeks to extract the critical success factors for OSS projects. Based on the literature survey in this study, the authors found determinants of success in OSS projects and classified them into three broad categories of project traits, product traits, and network structure. These findings have important implications for both the OSS research community and OSS practitioners.

scholarly journals Computational Propaganda in Hashtag Activism

2021 ◽  
Vol 13 (2) ◽  
pp. 251
Author(s):  
Andhika Kurniawan Pontoh
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Networks ◽  
Network Structure ◽  
Media Coverage ◽  
Public Attention ◽  
Political Actors ◽  
The Public ◽  
Social Network Structure

The hashtag (#) has an important role in gathering Internet users' support for opinion and value. Computational propaganda has an important role in hashtag activism. This study wants to examine the role of computational propaganda actors such as anonymous political accounts, fake accounts and bot in social media that is able to mobilize the public and also increase the impression of Twitter audiences. The trend of Twitter hashtag activism #BebaskanIBHRS and #NegaraDamaiTanpaFPI began with the arrest of the chairman of the Islamic Defenders Front (FPI) Habib Rizieq Shihab (HRS); the two trending hashtags massively influenced public opinion on Twitter on December 13-14 2020. This study uses a sample of 1000 tweets or conversations on each hashtags and uses Social Network Analysis (SNA) with the Netlytic tool which is able to provide quantitative values of communication networks, through the social network structure of #BebaskaniBHRS and #NegaraDamaiTanpaFPI. This study reveals how the network structure and what factors are carried out by anonymous political actors in carrying out computational propaganda. The results of this study reveal the hashtags activism #BebaskaniBHRS is much more capable of mobilizing the public and is able to generate greater impressions than #NegaraDamaiTanpaFPI. This is because #BebaskaniBHRS has a computational propaganda message in the form of a loaded language with a clear frame and the choice of words directly invites the Twitter public to get involved through a retweet another finding in this research shows computational propaganda movement in hashtag activism was carried out by large groups consisting of anonymous accounts and bot accounts on other side online media coverage about the trending of these hashtag's activism was also able to increasing public attention. Tagar (#) memiliki peran penting dalam mengumpulkan dukungan pengguna Internet terhadap suatu opini dan nilai. Komputasi propaganda memiliki peran penting dalam aktivisme tagar. Penelitian ini ingin mengkaji peran aktor komputasi propaganda seperti akun anonim politik, akun palsu dan bot di media sosial yang mampu memobilisasi publik dan juga meningkatkan kesan khalayak Twitter. Tren aktivisme tagar Twitter #BebaskanIBHRS dan #NegaraDamaiTanpaFPI dimulai dengan penangkapan ketua Front Pembela Islam (FPI) Habib Rizieq Shihab (HRS); kedua tagar yang sedang trending tersebut secara masif memengaruhi opini publik di Twitter pada 13-14 Desember 2020. Penelitian ini menggunakan sampel 1000 tweet atau percakapan pada masing-masing tagar serta menggunakan Social Network Analysis (SNA) dengan alat Netlytic yang mampu memberikan nilai kuantitatif jaringan komunikasi. Melalui struktur jejaring sosial #BebaskaniBHRS dan #NegaraDamaiTanpaFPI, kajian ini mengungkap seperti apa struktur jaringan komunikasi dan hal apa saja yang dilakukan oleh aktor politik anonim dalam melakukan komputasi propaganda. Hasil penelitian ini mengungkapkan bahwa aktivisme tagar #BebaskaniBHRS jauh lebih mampu memobilisasi publik dan mampu menghasilkan impresi yang lebih besar dibandingkan #NegaraDamaiTanpaFPI. Hal ini dikarenakan #BebaskaniBHRS memiliki pesan komputasi propaganda dalam bentuk bahasa yang sarat dengan bingkai yang jelas dan pilihan kata secara langsung mengajak publik Twitter untuk terlibat melalui retweet.Temuan lain dalam penelitian ini menunjukkan gerakan komputasi propaganda dalam aktivisme  tagar dilakukan oleh kelompok besar yang terdiri dari akun anonim dan akun bot di sisi lain liputan media daring tentang tren aktivisme tagar ini juga mampu meningkatkan atensi publik.

Evolutionary dynamics modeling of symbolic social network structure equilibrium

2020 ◽  
Vol 17 (10) ◽  
pp. 229-240
Author(s):  
Weijin Jiang ◽  
Sijian Lv ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Fang Ye ◽  
...  
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Evolutionary Dynamics ◽  
Dynamics Modeling ◽  
Social Network Structure

Online Communities and Social Network Structure

2019 ◽  
Author(s):  
Yanhao Wei ◽  
Wensi Zhang ◽  
Sha Yang ◽  
Xi Chen
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Online Communities ◽  
Social Network Structure

scholarly journals Inequality is rising where social network segregation interacts with urban topology

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gergő Tóth ◽  
Johannes Wachs ◽  
Riccardo Di Clemente ◽  
Ákos Jakobi ◽  
Bence Ságvári ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Urban Geography ◽  
Online Social Network ◽  
Stage Model ◽  
Significant Relationships ◽  
Social Segregation ◽  
Social Network Structure ◽  
Physical Barriers

AbstractSocial networks amplify inequalities by fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation, which is reflected in fragmented social network structure. Geographical impediments such as distance and physical or administrative boundaries also reinforce social segregation. Yet, less is known about the joint relationships between social network structure, urban geography, and inequality. In this paper we analyze an online social network and find that the fragmentation of social networks is significantly higher in towns in which residential neighborhoods are divided by physical barriers such as rivers and railroads. Towns in which neighborhoods are relatively distant from the center of town and amenities are spatially concentrated are also more socially segregated. Using a two-stage model, we show that these urban geography features have significant relationships with income inequality via social network fragmentation. In other words, the geographic features of a place can compound economic inequalities via social networks.

scholarly journals Postgraduate Studies on Lean Management—A Review of Initiatives

2020 ◽  
Vol 10 (8) ◽  
pp. 197
Author(s):  
Mariusz Bednarek ◽  
Aleksander Buczacki ◽  
Lukasz Bielakowski ◽  
Bartlomiej Gladysz ◽  
Mariusz Bryke
Keyword(s):  
Lean Manufacturing ◽  
Success Factors ◽  
Postgraduate Education ◽  
General Level ◽  
Success Factor ◽  
Lean Management ◽  
Successful Model ◽  
Critical Success ◽  
Postgraduate Studies ◽  
Long Time

The article elaborates upon a successful model of postgraduate studies on lean manufacturing. The subject of the research was nine editions of the Kaizen Academy postgraduate studies organized by the Warsaw University of Technology and the Kaizen Institute in the years 2009–2018, that still enjoys interest in the market. A detailed qualitative analysis of this case, followed by a comparative analysis with other post-graduate programs of this type on the national, European, and global level should make it possible to find what is necessary to launch and actively operate for a long time in the (considerably competitive) market of qualification raising programs related to Lean Management (critical success factors). The study has also identified the differences between a successful program, analyzed in detail, and other available programs described in the literature and on the Internet. This has been achieved through a structured analysis of thirty-nine postgraduate programs identified by querying scientific databases and the Google Internet search engine. Best practices and models of postgraduate education on Lean Management have been discussed, and the thirty-nine programs comprising the identified sample have been compared. Considering the very general level of the data available in terms of the organization of postgraduate programs, it has also been assessed if they follow constructivism and experiential learning paradigms. This has been achieved by including the industrial days/visit indicator in the comparison. Given its high value, it has been identified as a success factor of the postgraduate curriculum on Lean Management.

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