Social Networks Elearning

8/14/2019 Social Networks Elearning

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Spoke Software - Confidential

Spoke builds enterprise applications that deliverinsight from--and access to--human capital through

intra- and extra-enterprise relationships

Connecting People to Knowledge Through Relationships

Andrew Halliday

VP Business Development

[email protected]


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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 ones 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 kinds1. 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)


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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 companyrelationships 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?


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Discovering organizational relationship capital

2003 Spoke Software, Inc.

light up all the channels of insight and access

Northeast Division West Division

Human Resources inside

or outside the company

Your workgroup network


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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


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Reach in Social Networks, and Diversity

Constraints on reach in declared arc networks

Limited to those who join

Limited to the scope of users input effort

Limited to memorable/comfortable connections

Automated discovery in electronic messaging enables broader reach, andcomprehends 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 especiallynon-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


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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


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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


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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, creatingcommunal experience and keeping you au courant with your cohort


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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 onrelationship 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


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Personal Context and Productivity: Managing the volume

problem in the digital environment


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Person-centric knowledge assets are auto-generated in

Social Network systems

Visualization of Personal Network Building Sharable Dossiers

Privacy maintained

Individual or organizational

Handles massive data organization

Automated data collection on persons

Plus manual collection and annotation

Research asset accumulates


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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


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1. Profiles: example of self-attributed user profile


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2. Search: Comprehensive Search on People at

Companies


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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


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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


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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 newmessages

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


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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 validationof 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


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Spoke Software Confidential

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 inthe graph)

What is the SOR of this agent with all others like X, where SOR is ameasure based on successful transactions?

Finally, reputation tracking of software agents representing humans....

Documents

Social Networks Elearning