Social Networks Research Aspects: A Vast and Fast Survey Focused on the Issue of Privacy in Social Network Sites <s> 9) <s> Social network analysis (SNA) is now a commonly used tool in criminal investigations, but evidence gathering and analysis is often restricted by data privacy laws. We consider the case where multiple investigators want to collaborate, but do not yet have sufficient evidence that justifies a plaintext data exchange. This paper proposes a solution for privacy-preserving social network analysis where several investigators can collaborate without actually exchanging sensitive private information. An investigator can request data from other sites to augment his view without revealing personally identifiable data. The investigator can compute important metrics by means of a SNA on the subject while keeping the entire social network unknown him. <s> BIB001 </s> Social Networks Research Aspects: A Vast and Fast Survey Focused on the Issue of Privacy in Social Network Sites <s> 9) <s> Information technologies such as data mining and social network analysis have been widely used in law enforcement to solve crimes. Recent research indicates that geographic profiling also plays an important role in facilitating the investigation of crimes. However, lack of integration makes those systems less helpful in practice. In this paper, we propose an integrated system called PerpSearch that will take a given description of a crime, including its location, type, and the physical description of suspects (personal characteristics or vehicles) as input. To detect suspects, the system will process these inputs through four integrated components: geographic profiling, social network analysis, crime patterns, and physical matching. Essentially, geographic profiling determines “where” the suspects are, while other components determine “who” the suspects are. We then process the results using a score engine to give investigators a ranked list of individuals. To date, we have implemented a prototype of the system based on current Alabama law enforcement data. <s> BIB002 </s> Social Networks Research Aspects: A Vast and Fast Survey Focused on the Issue of Privacy in Social Network Sites <s> 9) <s> Due to the advance of Web 2.0 technologies, a large volume of web opinions are available in computer-mediated communication sites such as forums and blogs. Many of these web opinions involve terrorism and crime related issues. For instances, some terrorist groups may use web forums to propagandize their ideology, some may post threaten messages, and some criminals may recruit members or identify victims through web social networks. Analyzing and clustering Web opinions are extremely challenging. Unlike regular documents, web opinions usually appear as short and sparse text messages. Using typical document clustering techniques on web opinions produce unsatisfying result. In this work, we propose the scalable distance-based clustering technique for web opinions clustering. We have conducted experiments and benchmarked with the density-based algorithm. It shows that it obtains higher micro and macro accuracy. This web opinions clustering technique is useful in identifying the themes of discussions in web social networks and studying their development as well as the interactions of active participants. <s> BIB003
Criminal Activity Detection: Some specifications of SNSs like presence of great number of various people and new ways of communication has attracted criminals to use them for their malicious activities, so to prevent and detect such activities some special research is necessary to be done. In  some challenges about law enforcement and the necessity of using automated language analysis techniques for active policing in digital communities is mentioned. It notes some applications of using these techniques like identifying the child predators who pretend to be a child. In BIB002 a system is proposed for identifying suspects with the help of social network analysis (SNA). In BIB001 the application of SNA in criminal investigation and yet protecting privacy at the same time is discussed. In BIB003 the importance of clustering web opinions from intelligence and security informatics point of view along with some criminal activities that could be done in this space are mentioned and a clustering algorithm for detecting the context of the discussions available at social networks is presented.