By Andy Halliday

1. Spoke builds enterprise applications that deliver
insight from--and access to--human capital through
intra- and extra-enterprise relationships
Connecting People to Knowledge Through Relationships
Andrew Halliday
VP Business Development
Andy.Halliday@spoke.com
1
Spoke Software - Confidential

2. Social Networks, and Social Network Analysis...Some
Terms of Art
• Links are “arcs” between “nodes” in a “graph”
– Links (arcs) between people can be:
• declared
• observed/recorded
• “Degrees of separation” measures the number of arcs separating nodes
• Most current web social networks are fashioned of declared arcs
– Web interfaces for creating one’s node/profile, and workflow to collect arcs
– Graph represents the “n degrees” of all inter-connected nodes
– Users can typically navigate paths along arcs to friends-of-friends
• Social Network Analysis...two distinct kinds
1. simple mapping of declared social networks (arcs are undifferentiated)
2. analysis of digital messaging to establish social networks and create measures
of strength of relationships (arcs are quantified)
2
Spoke Software - Confidential

3. What if You could…
• Discover and measure all the private relationships held within a
company and its partners, without data entry?
• Get everyone to participate because their personal relationship
information is kept private, and under their control?
• Deliver cooperative insight and access from all company
relationships with active participation and permission, opt-in?
• Bring any relationship the company, its partners, and affiliates
have to bear on any business situation?
• Discover the knowledge resources the enterprise is connected
to through relationships?
3
Spoke Software - Confidential

4. Discovering organizational relationship capital
Your workgroup network Human Resources inside
or outside the company
Northeast Division West Division
“light up” all the channels of insight and access
© 2003 Spoke Software, Inc.
4
Spoke Software - Confidential

5. Networked Users
+ those known by users
Message analysis extends Network Comprehension and Reach to all those
known by networked users in email...with no data entry
5
Spoke Software - Confidential

6. Reach in Social Networks, and Diversity
• Constraints on reach in “declared arc” networks
– Limited to those who join
– Limited to the scope of user’s input effort
– Limited to memorable/comfortable connections
• Automated discovery in electronic messaging enables broader reach, and
comprehends many non-users
• Including those known to users creates a comprehensive map of social networks, and
rich data, but this demands etiquette and privacy controls for users, and especially
non-users
– System Messaging to/through users only
– Freedom from social pressure for introductions
– Inclusion of thousands of user correspondents requires differentiation among various
categories/levels of relationship
• The benefit is Diversity
– inclusion of both strong ties and “the strength of weak ties”
– Innovations and information value come from as-yet-unexplored relationship capital
6
Spoke Software - Confidential

7. Extra-enterprise reach is essential to creating value in
external and multi-company business alliances
• Many if not most relationships of value to the enterprise are outside
the firewall
• Intra-enterprise discovery systems are limited to one degree beyond
the firewall
– Effective for intra-enterprise collaboration
– Extra-enterprise collaboration depends on navigation beyond 1 degree
• Federation with broad public networks enables discovery of external
relationships many degrees beyond the firewall
7
Spoke Software - Confidential

8. “Private information self-determination”
Maintaining privacy through individual control
• Your information is yours, for your eyes only...and my information
is mine
• Never reveal contact information
• Never allow anyone to discover who-knows-whom
• Provide fine-grained control over movement of my data
• Provide articulate control over who can access/message me
• Allow permissioned disclosure of private information
• Design Principle: Relationships are owned by the individual, not the
enterprise...any other premise results in sabotage
8
Spoke Software - Confidential

9. Future Impact of Social Networks
• Search
– by creating personalized context for results based on whom-you-know
• Commerce
– by facilitating relevant influencer effects on Tipping Points in societies
– personally relevant peer reviews based on network proximity
• Communities
– by supporting flexible, personally-defined networks and subnetworks
• Media
– by promoting and coordinating content choices within cohorts, creating
communal experience and keeping you au courant with your cohort
9
Spoke Software - Confidential

10. Online Social Networks will have an impact on
internetworking...these are some possible developments
1. The emergence of extensive online registries with personal profiles
2. New model of relevance for peoplesearch...”Who matters most are
those most connected, and/or those most connected to you”
3. Profiles derived from social cohorts will be used for content routing,
search personalization, and alignment into communities-of-interest
4. The emergence of trusted messaging networks based on
relationship managers can replace the polluted general emailbox
5. Social networks will be used for knowledge collection, collaboration,
and dissemination, with higher personal relevance based on society
10
Spoke Software - Confidential

11. Personal Context and Productivity: Managing the volume
problem in the digital environment
11
Spoke Software - Confidential

12. Person-centric knowledge assets are auto-generated in
Social Network systems
Visualization of Personal Network Building Sharable Dossiers
• Privacy maintained • Automated data collection on persons
• Individual or organizational • Plus manual collection and annotation
• Handles massive data organization • Research asset accumulates
12
Spoke Software - Confidential

13. 1. Online registry of professional and personal profiles
• Social Networks are providing a motive for personal self-profiling
• Publish Profile with multi-tiered access permissions-management
– based on relationship levels and roles
– allows multiple perspectives of personal information
• The role of profiles in the semantic web
– Who is managing you as an entity on the web?
• The value of self-declared interests, preferences, and expertise
• The value of messaging-derived interests, preferences, and
expertise
• The inclusion of RSS and weblogs to circulate and collect content
and context about individuals
13
Spoke Software - Confidential

14. 1. Profiles: example of self-attributed user profile
14
Spoke Software - Confidential

15. 2. Search: Comprehensive Search on People at
Companies
15
Spoke Software - Confidential

16. 2. PeopleSearch relevance
• Personalized results based on proximity in your network
– The person you are looking for is more likely to be connected to your
social network than not
• Relevance based on number of connections
– Google changed page rank relevance to “most connected”
– People are more relevant the more connected they are...to you
• Results based on match in profiles
– Declared Interests, Preferences, and Needs
– News and Event-related context sensitivity
16
Spoke Software - Confidential

17. 3. Social Network data about who-knows-whom
provides a new source of context about individuals
• My Personal context is defined by my own relationship circles
• My context can be derived from analysis of my social cohort
• Profiling by association (whom you know defines your attributes)
• Cohorts create indicators for content relevance
– In information search
– In semantic routing of content
– Targeting of media and advertising
– Suggested distribution in publish/subscribe networks
• “Connectedness” to circles of experts can denote subject familiarity
• All this governed by personal privacy rules with permissions
17
Spoke Software - Confidential

18. 4. Social Networks create New Models for Messaging
and Communication
• Creates context for communication
– Social networks cut through the chaos of large collectives and create
stronger paths of connection and provide for the creation of subgroups
• Trusted networks create implied endorsement even after crossing
multiple degrees
• Position in network may provide source qualification for new
messages
• Audit trails based on relationship or membership in topical
communities qualifies contact and increases comfort with “strangers”
• Declared connections provide the basis for two-way permissions
and knowledge sharing
18
Spoke Software - Confidential

19. Enabling Trusted Messaging and Collaboration
• Like IM, pre-authorized two-way channels based on your SN circles
• Unlike email, not openly accessible to anyone who can determine
address
• Validated senders=those in my network, or those who can pass
through my network
• Social Networks for Dissemination: allows discovery and validation
of whom-to-message in extended trusted networks
• The end of the General Inbox
– Prioritization and organization by strength of relationship
– Pre-qualification of new senders based on referral endorsements or ties
to reference networks
– Inboxes based on topical or community-of-interest networks
19
Spoke Software - Confidential

20. Eventually, Social Network Analysis is applicable to
other messaging/data exchanges
1. SN currently focused on web interactions/transactions and email
2. Next: Instant Messaging
3. Then: Voice over IP
4. Social Network Analysis and the Semantic Web
1. Auto-creation or nomination of RDF assertions about individuals
• Based on user profiles
• Based on cohorts
2. Metadata about software systems interactions
• Relationship analysis of software systems’ behavior as nodes in the social
network of web services (software agents analogous to humans as nodes in
the graph)
• What is the SOR of this agent with all others like X, where SOR is a
measure based on successful transactions?
• Finally, reputation tracking of software agents representing humans....
20
Spoke Software - Confidential