Special Issue on Social Network Analysis
نویسندگان
چکیده
Social network analysis (SNA) is a research area of computer science with the purpose to represent people and their social interactions as graphs, then, analyze these graphs using graph theory [...]
منابع مشابه
Special issue on network coding
Future networks are expected to depart from traditional routing schemes in order to embrace network coding (NC)-based schemes. These have created a lot of interest both in academia and industry in recent years. Under the NC paradigm, symbols are transported through the network by combining several information streams originating from the same or different sources. This special issue contains th...
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Social media is immensely popular, with billions of users across various platform. The study of social media has allowed for deeper inquiries into questions posed by computer scientists, social scientists, and others. Social media posts tagged with location have provided means for researchers to perform even deeper analysis into their data. While location information allows for rich insight int...
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Network analysis has attracted considerable interest from the social, behavioral and other science communities in recent decades. This interest can be attributed to the importance and need to analyze (e.g., social) relationships among units, to detect any underlying structural patterns, and to infer implications of these relationships. Wasserman and Faust (1994) pointed out that the network per...
متن کاملIntroduction to special issue: ethical dilemmas in social network research
Toward the beginning of the article that leads off this special issue, Rebecca Goolsby recalls a short but intensive burst of messages on the SOCNET listserve1 concerning the ethics of military funding of social-networks research. One of the postings, from Marya Doerfel, a young faculty member at Rutgers, particularly struck me.2 An excerpt follows (reprinted here with the permission of the mes...
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2022
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app12188993