
In this chapter, we outline the techniques used in optimizing or facilitating information diffusion in social networks. We identify two problem definitions through which a broad survey of techniques in recent research is provided. Namely, we explore the problems of maximizing the spread of influence and minimizing the spread of misinformation in social networks. As different as these problems are in terms of the motivation behind them, they both rely on sub-problems that are very similar. Through our study of these two problems, we delve into more detail about the sub-problems: Sect. 2.2 model formation, Sect. 2.3 problem optimization, Sect. 2.4 large-scale data analysis, and Sect. 2.5 research trends.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
