When gathering personal network data on individuals for further analysis investigators can quickly fall into information overload. Especially when they lack the resources or knowledge to record data effectively for analysis. Social media network connections on public friends list, likes, shares etc can form interesting and insightful links.
This was used very effectively in a recent investigation where an address was proving allusive after Electoral roll, photograph analysis, land registry, ltd searches etc turned up nothing. Council housing based individuals who are not public registers can be difficult. The resulting connections analysis of the persons social media network turned up some interesting relationships. As a result a neighbour who through photographic analysis of a nearby wall of 2 pictures from both shed light on the location of the individual. The 2 stages of gathering and analysis these types of social media and other personal network data available open source can be invaluable.
The first stage is gathering the data and recording it. Sock puppet accounts are best used for collection however on media which does not give indicators of your viewership a more seasoned account may encounter less issues related to DDOS and data scalping protections on many websites. Macros, scripts or other tools can then be used to pull data from the accounts. Data will be in its nature incomplete with a myriad of private accounts and other hurdles.
Data depth is also important, 3-5 connections of depth is usually suitable e.g. friends of friends of friends, any further will stretch your systems resources for little to no benefit.
Most scripts and macros will keep the data in a set format for you to analyse. However not all tools will present or record data in a analysis friendly manner and as such you should consider this first. Are only the necessary data points being collected? Is the text/data presented in a format which can be compiled into groups? Think about your end result.
Once the data has been gathered and stored you can now move to the fun part of your data collection; analysis. There are many good tools however tools which have algorithmic sorting functions are best for user friendliness and relationship analysis. The first piece of data you will be looking at will be the top 5-10 individuals they share common connections with and have the most frequent interactions.
This enables you to perform manual checks of those accounts for clues. Once completed you should then begin pulling more data on the associated individuals from other open source databases for more data. Building profiles around the individuals would hopefully begin to shed led on the person under investigation however sometimes you may need to delve deeper into the persons connections. Useful data points such as large associations with certain groups or interest can reveal new revelations however we must always be careful that associations are not based on location, friends or family members.
A great tool for beginning to manually review data points and formulating further actions plans is using a white board to post data points printed out utilising magnets and strings.
Good hunting.