A NOVEL INCREMENTAL CLUSTERING FOR INFORMATION EXTRACTION FROM SOCIAL NETWORKS
نویسندگان
چکیده
منابع مشابه
Anonymization of Centralized and Distributed Social Networks by Incremental Clustering
The social media has grown very vastly in the earlier years known think for all. There are different social media sites like Facebook, Twitter, LinkedIn, Google+ and many more that holds public and confidential/ personal information about their users. It is mandate to provide security to those users. In social network graphs are anonymized before being published to the others might be third per...
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In the recent years, social networks (SN) are now employed for communication and networking, socializing, marketing, as well as one’s daily life. Billions of people in the world are connected though various SN platforms and applications, which results in generating massive amount of data online. This includes personal data or Personally Identifiable Information (PII). While more and more data a...
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Social networks, which emerged due to the rapid development of modern telecommunications and information technologies that led to the emergence of the Internet, can be viewed as a phenomenon of the information society. In a short time, there has been both quantitative and qualitative growth of social networks, which have become a common phenomenon in our life and the dominant way of communicati...
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2016
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2016.0508063