social-network-analysis 4

Summarize a WhatsApp thread from https://tools.s-anand.net/whatsappscraper/ | whatsappthread.jq Analyze the attached WhatsApp messages and share your results by writing ONLY these 3 sections: - **Topics**. For each of the 20 most active topics, write a paragraph mentioning: - Start date (e.g. 13 Sep 2025) - Who discussed what - Quote where relevant - **Network**. Build a conversation graph of people exploring centrality, bridges, and topic-seeding scores. Summarize key insights as a paragraph each. - **People**. For each of the 20 most active people, write in a paragraph about any of the below that you can infer with confidence: - persona - topics/interests - roles in network - notable habits (e.g. active times - converting to guessed local time, style of writing, etc.) - blindspots (things they might not be aware of that or missed others mention or hint at, based on the actual conversations - not just metrics) Write in active voice, simple words, and conversational style for an 8th grader. Bold **people** and **key phrases** to help scanning. Attachment has WhatsApp messages as NDJSON with fields: .id, .chat_id, .ts, .type, .author.{name,phone}, .text_raw, .reply_to.{author,phone,text}, .reply_to_id, .thread_id, .urls[] Context: ...

An interview with the creators of InFlow (a software to map social networks) shows how social network analysis is used. Comments Dhar 30 Oct 2005 6:10 am: Anand, do you know of any freely available Social Network Analysis tool? S Anand 31 Oct 2005 6:16 pm: Afraid not. I’ve only done this twice in projects, and I just used Excel and Perl both times.

An information civil rights organization has data mined an NSA mailing list. The first chapter is online. The graphs are interesting.

Excellent intro to social network analysis