Human Domain Mapping™
Human Domain Mapping™ capitalizes on the epitome of social technology advances in using social network analysis to deliver superbly accurate insights into your customers, clients, prospects, shareholders, or any other external stakeholder. For analysis on internal stakeholders see Talent Sphere Mapping™.
Our proprietary technologies, processes, and systems allows us to quantitatively measure insights, opinions, and even brand strength within any relevant stakeholders that you deem important.
Our proprietary capabilities provide us with access to social media sites such as twitter, LinkedIn, and Facebook, but it also allows us to measure and identify those who influence your brand through blogs, associations, or even lawmakers.
Human Domain Mapping answers the question “Who influences my products, services, decisions (externally), and brand?” Our proprietary technologies, processes and systems allow us to quantitatively measure insights, opinions, and even brand strength within any relevant stakeholders that you deem important.
For almost 100 years researchers have been looking at graphical and mathematical methods of understanding what makes us influential, and what influences us. The applications are numerous in a real sense. Visualizing networks can yield powerful insights into all forms of processes, trends, and answer a number of questions that previously were un-answerable.
Today we are no longer autonomous from others’ views and ideas. Globalization has ensured that. And so, today we are always influenced by someone else in choosing service providers, products, and even opinions. The great achievement of the social sciences is that now we have enough evidence to empirically quantify relationships, influence, and power.
The Human Alliance model, built on the timeless science of influence, focuses more on how we connect with each other, and on who tends to be more influential through centrality, betweenness, and degree measure of social structure. The model then allows us to delve deep into the nature of those relationships, identify influencers, and understand what makes them so influential. Depending on the application, we can either replicate their influence, or provide incentives to buy them into a particular idea, product or service.
Empirical evidence shows that our model is substantially more effective than analysis focused on demographic trends.
Application Domains Include:
The Human Alliance model, built on the timeless science of influence, focuses more on how we connect with each other, and on who tends to be more influential through centrality, betweenness, and degree measures of social structure.
Marketing & Social Media Networks
- Who are the brand influencers and brokers?
- How can your product or service achieve virility?
- Under what conditions do your prospects adopt your product or service?
- What causes your customers to pass on your message, and to whom?
Legal & Law Making Networks
- Which court cases are most influential in your specialty?
- Which law makers influence relevant bills and laws?
- Who can you target for lobbying efforts for maximum effect?
Political Events and Campaign Networks
- Who is central to delivering your message to a broad audience?
- What is your opponents’ strategy?
- Whom does your message resonate with?
- How can you better utilize social media to get buy-in for your message?
Associations & Event Networks
- How do relationships form during your event?
- How can you design events, teams, working groups to engage stakeholders more potently?
- Who hold the power in relevant issues to your association or organizations?
- How can you build a network that will guarantee self-sustainability?
Financial Transactions Networks
- Who holds the power in mass financial transactions, not just by volume, but by central positions?
- How can you target more central vendors, clients, and relationship brokers to raise funds and make investment decision?
Technology Innovation Networks
- Who is more influential in deciding the direction of innovations in your industry?
- Can you make a reasonable prediction to as the direction of the next innovation?
- How can you design tech and innovation incubators to better leverage networks, thereby increasing the chance for disruptive products and services?