აბსტრაქტი. The evident increase in the sophistication of cyber criminals has a significant impact that can threaten the national security if it goes unabated. Presently, use of social media in mining crucial digital or forensic evidence by law enforcement bodies in Kenya is a novel idea that needs to be explored and implemented. The study’s objective was to demonstrate how Social Network Analysis (SNA) can be used as an investigative tool to mine, analyse data from selected online social media users and present digital forensic evidence to aid law enforcement in Kenya. Particularly, the study aimed at identifying high degree nodes in the network and profiling them using visualizations. NodeXL software was used to mine and analyse data. Computation of centrality measures, network clusters, cliques were presented using both infographic visualizations and centrality metrics of the respondents on egocentric networks focal communication paths through which information flows in the network were also depicted. The discoveries of this study indicated that Social Network Analysis is an essential and supplementary tool that can be employed by law enforcement agencies and related stakeholders to mine, analyse and present court accepted digital forensic evidence. The findings presented in this research illustrates how social network analysis can be used to determine the interpersonal connections, importance of actors in a given social network and detect communities of people and principally how law enforcement agencies can utilize this technique in identifying and tracking suspicious characters and ultimately help in maintaining law and order. SNA ought to be embraced as a supplement of conventional investigation, not necessarily replacing it.