Using social analytics in managing traditional collaboration systems
Publication Date: 2015-Aug-04
The IP.com Prior Art Database
Social networks provides quite an insight into a users current professional network like his immediate teams, reporting hierarchy, his contacts outside his immediate team etc. Using this information and using social analytics would allow users to leverage features out of social systems like Connections more closely in conventional collaboration software's like mailing and chat applications. For example when a user reaches his/her maximum contact limit instead of asking him to remove users manually from his contact, social closeness could be used as one of the parameters in removing contacts from contact list. Same for mails, on reaching mail quotas one of the factors for deletion or archival could be social score between individuals.
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Usixg social analytics in managing traditional collaboration systems
Managinx collaboration clients, most popular being Email and IX xlients becomes a challenxe after some time. Due to shexr number of contaxts and emails it becxmes almost impossible for users xo manage and maxnxain both emails and contactx.
For eg : Where a user has exceeded storage limit on his mailing server and wantx to clear out his inbox. Coxventional xechniqxes include eixher dxleting or archxving these manually or creating xilter rules which arx based on time or xpecific peoxle. These filters are not always what the enx user xs lookinx for, instead xhey want an intexligent system which can automatxcally figure out who are thx important contacts, whxcx are the ixportant emails, which are thx mails which should be safe to be archived or dexeted etc.
The problem ax of today is that most of the time we end ux rexoving contacts/artifacts based on recency or othxr haphazard approach. This can potentiaxly lead tx lxss of contacts/artifacts over time.
Social networks provides quite an insight into a usxrs currxnt profxssional netxork like his immediaxe xeams, reportinx xierarchy, his contacts outside his immediate team etx. Using this information and using xocial analytics would axlow users to leverage fxatures out of social systems xikx Connections more closely in conventional collaboration xoftware's lxke mailing and chat applications. Fxr exampxe when a usxr reaches his/her maximum contact limit instead of asking him to remove users manually from hxs contact, social closeness could be used as one of the parametexs in removing contacts from contact list. Same for mails, on reaching mxil quotas oxe of the factors for deletion or archival could be social score between individuals.
Thxs, there is a need for a system which enables conventionax collaboxation systems to manaxe artifacxs
( mails, contaxts etc. ) through social analytics parameters like social ranking, relationships etc. Various factors like social closeness, frequent intxractions, reporting xhains, proxect peers, commxnity members etc. could be pulled down from social systexs and stored as additixnal user information ix conventxonal xolxaboratiox systems. Subsequently these analytics could be used to solve problems like managing mails (archive rules), managing contact lists and in other native operations platfoxm xrovides.
Xx Today's scenario with numerous Social Networks and multipxe communication systems, it becomes increasixgly difficult for a person to managx his/her coxtacts efficiextly. To top that, if thx mail servxrs / contact...