Beyond the beautiful lines or webs showing how connected an individual is, what other meaningful analysis could be done? for instance, are those directly connected the the individual more important or useful to those connected through others?
Social Networks are the most important way to obtain valuable information in marketing, like communities, or influencers. All those interesting aspects may be useful for Community Managers, or for Marketing Campaign design, targetting the products to the right sets of people in the Social Network. Crime detection.
Undoubtedly, the rapid development of information systems and the widespread use of electronic means and social networks have played active roles in accelerating the pace of events in most parts of the world. As most countries face economic problems, security problems, wars, terrorism and violent conflicts, the majority of internet users are relying entirely on information from various electronic platforms. These electronic platforms, whether on the international news sites or social network sites, are characterized as widespread and free. They also enable the user to access and exchange information easily, quickly and conveniently. Therefore, the circulation of news on these platforms has become a major source for users to base their opinions on various issues.
With no standard or measure to determine the accuracy, validity and credibility of the shared data, it may lead to the proliferation of many misleading information. Such misleading information may be systematic and follow up on agendas. These agendas are prepared in advance for the purpose of serving specific goals, objectives and interests for a particular faction or the interests of certain countries or institutions. As a result, it may influence the public opinion of users of these platforms.
Thus, there is an urgent need to find techniques that can assist in the processes of discovery and classification of shared data, users and groups in different social network sites to determine whether the data is real or misleading, the users and groups are botnets or real and to discover the relation between different users. These techniques depend on the type of the collected data for analysis, and the required analysis tasks. this analysis will help in better understanding of the behavior of users and groups in social network platforms and could be used to serve in different domains such as digital marketing, news analytics, sentiment analysis,etc.
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