Social surveys have been used by researchers and policy makers as an essential tool for understanding social and political activities in society. Social media has introduced a new way of capturing data from large numbers of people. Unlike surveys, social media deliver data more rapidly and cheaply. In this paper, we aim to rapidly identify socio-political activity in South Africa using proxy data from social media. We measure and analyse scalar properties of a network created by user interactions on Twitter. Our experimental results show that network diameter and reciprocity have statistical significance in determining socio-political activity