Social Network Users and Social Graph Construction
Andrei V. Plotnikov
Andrei V. Plotnikov, Perm National Research Polytechnic University, Perm, Russia.
Manuscript received on November 16, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 1160-1163 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7642129219/2019©BEIESP | DOI: 10.35940/ijitee.B7642.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The work is devoted to the analysis of friendly relations of the VK social network users. The work aims to obtain connected components of the social graph of the social network users, where edges represent friendships between users and nodes represent users. The total population is approximately 54,000 users (intersection of audiences from two professional communities in the field of social media marketing). The following libraries are used in the work: NumPy and Pandas. The author uses a structural approach focusing on the geometric shape of the network. As a result, a group of 168 users with intra-group connections was allocated from the sample of 1,000 users, of which eight users had visited VK 15 or more days before and eight users had visited the VK from 5 to 15 days before.
Keywords: Social Networks, Digital Economy, Information Technologies, Social Media Marketing.
Scope of the Article: Social Networks