Dynamic Behavior Analysis for Open-source Software based on Complex Network

Author(s):  
Xizhe Zhang ◽  
Zhe Wang ◽  
Tianyang Lv ◽  
Ying Yin ◽  
Bin Zhang
Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Víctor Martínez ◽  
Fernando Berzal ◽  
Juan-Carlos Cubero

Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data. In this paper, we present NOESIS, an open-source framework for network-based data mining. NOESIS features a large number of techniques and methods for the analysis of structural network properties, network visualization, community detection, link scoring, and link prediction. The proposed framework has been designed following solid design principles and exploits parallel computing using structured parallel programming. NOESIS also provides a stand-alone graphical user interface allowing the use of advanced software analysis techniques to users without prior programming experience. This framework is available under a BSD open-source software license.


PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221530
Author(s):  
Yuancheng Li ◽  
Longqiang Ma ◽  
Liang Shen ◽  
Junfeng Lv ◽  
Pan Zhang

Author(s):  
Passakorn PHANNACHITTA ◽  
Akinori IHARA ◽  
Pijak JIRAPIWONG ◽  
Masao OHIRA ◽  
Ken-ichi MATSUMOTO

Author(s):  
Christina Dunbar-Hester

Hacking, as a mode of technical and cultural production, is commonly celebrated for its extraordinary freedoms of creation and circulation. Yet surprisingly few women participate in it: rates of involvement by technologically skilled women are drastically lower in hacking communities than in industry and academia. This book investigates the activists engaged in free and open-source software to understand why, despite their efforts, they fail to achieve the diversity that their ideals support. The book shows that within this well-meaning volunteer world, beyond the sway of human resource departments and equal opportunity legislation, members of underrepresented groups face unique challenges. The book explores who participates in voluntaristic technology cultures, to what ends, and with what consequences. Digging deep into the fundamental assumptions underpinning STEM-oriented societies, the book demonstrates that while the preferred solutions of tech enthusiasts—their “hacks” of projects and cultures—can ameliorate some of the “bugs” within their own communities, these methods come up short for issues of unequal social and economic power. Distributing “diversity” in technical production is not equal to generating justice. The book reframes questions of diversity advocacy to consider what interventions might appropriately broaden inclusion and participation in the hacking world and beyond.


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